{"paper_id":"2c513c9a-eb7f-419e-84f4-96686dfb505c","body_text":"Emerging trends and hot spots in epigenetic modifications in neurology: A bibliometric analysis | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Emerging trends and hot spots in epigenetic modifications in neurology: A bibliometric analysis Shu-Ying Xu, Siyao Zhang, Chun-Li Zeng, Yong-Jun Peng, Min Xu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5377025/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 11 Apr, 2025 Read the published version in Molecular Neurobiology → Version 1 posted 10 You are reading this latest preprint version Abstract This study employs a bibliometric analysis to examine the evolution and future trajectories in epigenetic modifications in neurology from 2004 to 2024. A total of 12,964 publications were scrutinized via the R bibliometrix package and VOSviewer for network visualization, complemented by Scimagp Graphica to elucidate global collaborative networks. Our extensive review reveals a significant growth in the field of epigenetic neurology studies, driven by an increased output of publications and evidenced by an enhanced focus on epigenetic modifications. The United States and McGill University are recognized as central contributors, with Nature leading as the most prolific journal and J. Mill and E.J. Nestler distinguishing themselves as key authors by publication volume and citation impact, respectively. A detailed keyword analysis highlighted \"expression,\" \"DNA methylation,\" \"brain,\" \"gene-expression,\" and \"gene\" as the most recurrent terms, indicating core areas of research concentration. Subsequent manual analysis due to software-detected inaccuracies reaffirmed Alzheimer's disease, cancer, and schizophrenia as predominant neurological diseases associated with epigenetic studies. Pathophysiological processes such as DNA methylation, oxidative stress, and synaptic plasticity have been extensively examined in relation to epigenetic modifications in neurology. Synthesis of the reference literature analysis identifies critical themes such as the role of glucocorticoid receptors, the significance of hydroxymethylcytosine in neural DNA, the implications of epigenetic patterns in mental health, and the impact of BDNF gene on memory consolidation. These insights into epigenetic research in neurology indicate a sustained and intensifying trajectory, hinting at expanding horizons for future therapeutic approaches and interventions. Our findings underscore an active and progressing interest in neurological epigenetics, suggesting a continued expansion and specialization in the exploration of epigenetic mechanisms and their clinical relevance. epigenetic modifications neurology bibliometrics hotspots emerging trends Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Introduction In the expansive domain of neuroscience, the intricate layers of gene expression regulation hold pivotal clues to the understanding of neurodevelopmental, neurophysiological, and neurodegenerative processes. Epigenetic modifications, transcending the simplistic bounds of the genetic code, offer a dynamic and reversible means of gene regulation that responds to both intrinsic and environmental cues [1]. The incorporation of epigenetic perspectives into neurological studies has not only enriched our comprehension of the complexities of central nervous system but has also illuminated pathways to novel therapeutic strategies. As depicted in Fig. 1 , the last twenty years has witnessed a remarkable surge in epigenetic research within neurology. This burgeoning interest has been driven by the recognition that epigenetic mechanisms—such as DNA methylation, histone acetylation, and RNA-mediated regulation—serve as critical modulators of gene expression without altering the underlying DNA sequence [2]. These modifications are crucial for synaptic plasticity, cognitive function, and resilience or vulnerability to neural pathology [3, 4]. As the field matures, it becomes imperative to map the landscape of research endeavors and intellectual contributions. A bibliometric analysis serves as a robust tool to dissect the complex web of scientific advancements, offering invaluable insights into the evolution of epigenetic studies in neurology. This paper aims to conduct a comprehensive bibliometric analysis to delineate the emerging trends and hot spots in epigenetic modifications in neurology. By evaluating the corpus of literature, this study will uncover the pivotal themes, influential studies, and seminal authors shaping the trajectory of epigenetic research. Such an analysis not only charts a course for current research foci but also signals potential avenues for future exploration that could catalyze breakthroughs in understanding and treating neurological conditions. Methods Data Source and Search Strategy The Web of Science (WoS) database is widely recognized for its comprehensive coverage across numerous disciplines and its provision of extensive bibliographic content, it supports deep dives into scholarly research, facilitating detailed analyses of scientific trends, research outputs, and citation impacts. For this investigation, the Web of Science Core Collection (WoSCC) was selected as the foundational data source, emphasizing its critical role in facilitating a comprehensive and detailed analysis, with data extracted on April 2, 2024. To identify relevant publications, a MeSH (Medical Subject Headings) search strategy was employed, focusing on \"nervous system diseases\" and \"epigenetic\" as derived from the MeSH database. ( https://www.ncbi.nlm.nih.gov/mesh ). The search query was formulated as follows: TS=(“neurology” or “neurology” or “neurological” or “neurodegenerative disease” or “brain” or “cerebral” or “neurological”) AND TS=(epigenetic* OR epigenomic*) with publication timespan(2004–2024). The search was intentionally restricted to include only publications in English. To capture high-quality, relevant literature, the selection was narrowed to articles and reviews, totaling 12,964 qualifying publications. Excluded were document types like meeting abstracts, editorials, and meeting-related materials, removing 705 documents from consideration. The filtered set of eligible publications was then downloaded as a .txt file from the WoSCC, ensuring a focused and comprehensive dataset for analysis. Bibliometric Analysis and Visualization The bibliographic information for the selected publications was processed and analyzed using the bibliometrix package in R version 4.0.3. The bibliographic data of the chosen publications was automatically converted and analyzed using the bibliometrix package in R 4.0.3. This automated approach facilitates a comprehensive and efficient analysis of the dataset, allowing for the extraction of valuable insights and trends from the bibliographic data. The analysis covered several dimensions, including the distribution of countries/regions, publication years, and authors. To assess the quality of contributions made by authors in this research field, a set of bibliometric indicators was employed. These indicators evaluated various performance aspects such as the number of publications, the citation impact within the research domain, and all the g -index, h -index and m -index of authors, providing a multifaceted view of research productivity and influence. Network construction utilized VOSviewer software (Version 1.6.16, from Leiden University, the Netherlands), enabling the analysis of co-authorship (across countries, institutions, authors), co-citation (among journals and references), citation analysis of documents, and keyword co-occurrence. This multifaceted approach facilitates a comprehensive visualization and understanding of the relationships and trends within the research data. Scimagp Graphica was used to visualize and elucidate the network relationships among countries. This tool made it possible to analyze and display how different countries are interconnected and collaborate within the research domain, offering insights into the global landscape of academic partnerships and knowledge exchange. For experts and scholars in the field, being informed about the current research on epigenetic modifications in neurology and identifying future research opportunities are critical. This knowledge helps them stay current with the latest scientific progress, pinpoint areas where existing research is lacking, and aid in the generation of new insights within the realm of epigenetic modifications in neurology, thereby pushing the boundaries of what is known and contributing to the advancement of the field. Results Distribution of publications by year The last two decades have witnessed a remarkable increase in the study of epigenetic modifications in neurology, highlighting a growing interest in understanding how epigenetic factors contribute to neurological diseases and conditions(Fig. 2 ). Among the 12,964 publications, a substantial majority, or 69.32% (8,987 articles), are research articles. Review articles constitute 30.68% (3,977 articles), showcasing a comprehensive mix of new research findings and synthesized overviews in the field. As Fig. 2 illustrates, there has been a striking upward trend from 2004. A significant milestone is noticeable around 2009 when the publications exceeded 200 annually. This ascent continued, reaching approximately 600 by 2013, and despite some fluctuations, it exhibits a general upward trend over the years, peaking around 2023. The decade-long steady increase further reflects an intensifying global focus on neuroepigenetics, underlining the evolution of field as a significant area of scientific inquiry. Countries and Regions Figure 3 A visually presents a global snapshot of research activity in the field of epigenetic modifications in neurology, mapping out the contributions from 122 countries and regions. The varying shades of blue across the map indicate the volume of research output, with darker hues representing higher publication counts. This cartographic representation highlights the widespread international effort to advance our understanding of epigenetics in the neurological sciences. Remarkably, the United States stands out as the leading contributor to the field of epigenetic modifications in neurology, with a dominant 6,047 publications, which is a substantial share of the total global output. China follows as a significant contributor, with 1,574 publications. Germany also shows a strong presence with 1,200 contributions, while Canada's robust research efforts resulted in 1,006 publications. England's contribution is notable as well, with 986 publications. Italy, Japan, Spain, France, and Australia also contribute significantly, each with over 500 articles, marking their strong presence in this scientific arena(Fig. 3 B). In the arena of global citations, the United States' research in epigenetic modifications in neurology stands at the forefront with a remarkable 252,810 citations. Germany and the UK are also key players, securing 31,582 and 29,214 citations respectively. Canada and China are not far behind, demonstrating their research prowess with 28,794 and 26,300 citations. Italy, France, Australia, Spain, and Japan round out the top 10, each with citations ranging from 20,987 to 12,715, underscoring the widespread influence of their contributions (Fig. 3 C). Figure 4 A depicts the global research collaboration network on epigenetic modifications in neurology. The intricate web of blue lines connects various countries, symbolizing the collaborative efforts. The intensity of the blue shades indicates the robustness of these partnerships, with darker hues representing stronger collaborative ties. Each circle's size correlates with the quantity of research documents produced by that country, highlighting the contributions of each region to the field. To elucidate the scope of international co-authorship, Figs. 4 B and 4 C provide a visualization centered on 29 countries with significant scientific contributions in the domain of epigenetic modifications in neurology, each accounting for over 100 publications. The visualization captures the extent of research collaboration, with the United States standing out for its extensive network, as indicated by its 3,197 collaborative links. England, Germany, France, and Spain also showcase dense networks with their respective totals of 851, 579, 392, and 349 collaborative connections. These figures reflect the vibrancy and interconnectedness of global research efforts in this burgeoning field. To further analyze co-authorship, Fig. 4 B and 4 C focused on 20 countries and regions with more than 56 publications in this field. The United States, with 1,357 collaborations, exhibited the highest total link strength. Germany, England, Canada, and Italy also demonstrated significant collaborative networks, with 1,534, 1,533, 1,167, and 1,008 collaborations, respectively. These visualizations highlight the integral nature of collaborative efforts in epigenetic research related to neurology on a global scale. The United States, England, Germany, France, and Spain stand out as pivotal contributors, leading not only in the volume of publications but also in the strength and extent of their research networks. Yet, the significant input from a broader range of countries also plays a critical role, collectively enhancing the field's growth and our comprehensive understanding of epigenetic modifications in neurological disorders. Organizations The statistical analysis has uncovered that 9,058 organizations globally have contributed to research publications in the field of epigenetic modifications in neurology. A detailed examination of the co-authorship networks has been narrowed to scrutinize 30 organizations, each with over 100 documents to their name. Table 1 showcases the top 10 most productive organizations in the field of epigenetic modifications in neurology research. The network visualization showcases the collaborative dynamics among leading institutions in the field of epigenetic modifications in neurology research(Fig. 5 ). In this intricate map, each node represents an organization, with its size proportional to the institution’s publication output. The lines illustrate the co-authorship links, with thickness and color intensity reflecting the strength and recency of collaborations, respectively. McGill University in Canada appears as a central node with significant publication contributions, closely interconnected with other major research entities. This suggests a strong, active role in the research community and frequent joint studies. U.S. institutions like Harvard Medical School, Columbia University, and Johns Hopkins University also exhibit substantial interlinking, indicative of their integral positions in cooperative research efforts. The color gradient from purple to yellow across the nodes represents the timeline of publications, with recent activities highlighted in warmer hues. This aspect of the visualization emphasizes the evolving nature of collaboration over time, showcasing how newer partnerships are forming and expanding the research frontier. Consequently, it is evident that in recent years, Harvard Medical School has emerged as a central hub for Epigenetic Neurology Research Collaborations. Collectively, these visual representations serve as a testament to the vibrant and international nature of research in epigenetic modifications in neurology, underlining the importance of cross-institutional cooperation in driving scientific discovery. Table 1 Top 10 most productive organizations Rank Organizations Country Publications Citations Total link strength 1 McGill University Canada 267 17819 152 2 Icahn School of Medicine at Mount Sinai USA 234 13964 128 3 Harvard Medical School USA 223 6905 220 4 Columbia University USA 210 14126 163 5 Johns Hopkins University USA 197 14872 120 6 Emory University USA 193 10263 131 7 University of Toronto Canada 191 7712 73 8 Harvard University USA 185 18188 134 9 King's College London USA 185 12303 116 10 University of Illinois USA 180 8807 43 Journals and cited journals The expansive dataset, comprising 12,964 documents centered on the topic of epigenetic modifications in neurology, points to a robust and multi-faceted body of research within this scientific area. Disseminated across an astounding 32,936 journals over the last two decades, these documents highlight the widespread academic interest and the critical importance of epigenetics in neurological studies. Table 2 outlines the journals with the most substantial contributions to the field of epigenetic modifications in neurology, measuring both their publication output and their impact via citations. Nature is identified as the most prolific, with 33,765 records and an impressive impact factor of 64.8. P Natl Acad Aci Usa follows with 30,592 records, asserting its significance with a strong impact factor and citation count. J Neurosci and Science are also leading journals in publication volume, demonstrating their crucial roles in disseminating new research findings. Additionally, Cell stands out, not just for its publication count, but also for its high citation impact, indicating the pivotal research findings it publishes are extensively referenced in subsequent studies. The data reflects the importance of these journals in advancing the scientific community's knowledge of neurological epigenetics, with high quality research that garners significant attention. The variety among the journals — from the broad, multidisciplinary coverage of Nature and Science to the more specialized focus of J Neurosci — showcases a dynamic field with diverse research avenues and high scholarly engagement. Table 2 Top 10 prolific journals and cited journals. Prolific journals Cited journals Rank Journals Records 2023 impact factor 2023 JCR partition Journals Citations 2023 impact factor 2023 JCR partition 1 Nature 33765 4.0 Q1 Nature 16431 64.8 Q1 2 P Natl Acad Aci Usa 30592 12.7 Q1 P Natl Acad Aci Usa 14332 11.1 Q1 3 J Neurosci 25614 7.1 Q1 Nat Neurosci 12246 25.0 Q1 4 Science 24229 4.8 Q1 Plos One 11738 3.7 Q3 5 Cell 22241 4.2 Q1 J Neurosci 11206 5.3 Q2 6 Plos One 19626 6.1 Q3 Cell 8924 64.5 Q1 7 Nat Neurosci 15417 3.2 Q1 Nat Rev Neurosci 8610 34.7 Q1 8 Neuron 14420 16.2 Q1 Science 8382 56.9 Q1 9 J Biol Chem 13475 4.8 Q2 Molecular Psychiatry 7020 11.0 Q1 10 Nat Genet 12426 30.8 Q1 Epigenetics 6599 3.7 Q3 Authors and co-authorship of authors The comprehensive analysis spanned an array of 12,964 articles, which were collectively contributed by a diverse cohort of 32,913 authors focusing on epigenetic modifications in neurology. Among this extensive assembly of scholars, J. Mill emerged as the foremost prolific author, having contributed to 81 articles. E.J. Nestler followed with contributions to 78 articles, while G. Turecki's research efforts resulted in 75 articles. S. Akbarian and M. Szyf also demonstrated significant academic productivity with contributions to 68 and 66 articles, respectively (Fig. 6 A). Additionally, Fig. 6 B elucidates the citation landscape, showcasing the top-tier authors whose work has resonated most within the academic community. E.J. Nestler stands at the apex with a commendable 3,057 citations. He is closely succeeded by J. Mill, whose work has accumulated 2,306 citations. M. Szyf, with 2,101 citations, S. Akbarian with 1,807 citations, and G. Turecki with 1,756 citations, round out the list of the top five most-cited authors in this domain. The g -index serves as a nuanced indicator of an author's scholarly impact, considering the citation performance of their most cited papers and highlighting the depth and significance of their research contributions within the field. The bar graph provides an insightful representation of the g -index for a selection of authors in the field of neurology with a focus on epigenetic modifications(Fig. 6 C). J. Mill stands at the forefront with a g -index over 80, indicating a significant breadth of highly-cited publications. E.J. Nestler follows closely, with a g -index that surpasses 80, reflecting a vast corpus of work that has garnered widespread citation. G. Turecki, S. Akbarian, and M. Szyf are also depicted with substantial g -indices, signifying their impactful contributions to the scientific community. This metric suggests that their work is not only frequently cited but also that some of their publications are cited exceptionally often, demonstrating their influence in the research landscape. The h -index chart presented in the visual material demonstrates the impact and productivity of various authors in the field of epigenetics in neurology. E.J. Nestler stands out with the highest h -index, exceeding 50, indicative of a substantial influence through a significant body of highly cited work. J. Mill follows with an h -index in the 40s, while M. Szyf, G. Turecki, and S. Akbarian show similarly impactful academic contributions, as reflected by their h-indices in the same range(Fig. 6 D). The m -index is a variation of the h -index that accounts for the number of years an author has been actively publishing, offering a normalized indicator of impact over time. In the graph showcasing the m -index of various authors in neurology research related to epigenetic modifications, E.J. Nestler appears to lead with an m -index just over 3. This suggests a sustained and high impact of publications over the span of their career. J. Mill and S.M. Pfister are also represented with substantial m -indices, indicative of their consistent contribution to the field(Fig. 6 E). Additionally, the collaboration analysis focused on 51 authors who co-authored more than 20 publications. After excluding 13 unconnected items, the collaboration network revealed the interactions among 39 authors (Fig. 6 F). Among them, E.J. Nestler had the highest number of collaborations (75), followed by J. Mill (68), G. Turecki (63), S. Akbarian (59), and M. Szyf (57) (Fig. 6 F). Keywords A comprehensive analysis identified a total of 36,611 keywords, among which 200 appeared more than 100 times. Figure 7 A provides a visual representation of the top 50 prevalent keywords in the form of a word cloud. Notably, \"expression\" was the most recurrent keyword, succeeded by \"DNA methylation\", \"brain\", \"gene-expression\", and \"gene\". Figure 7 B illustrates a density visualization to depict the clustering of the identified keywords, with varying colors demarcating distinct clusters. Moreover, Fig. 7 C demonstrates an overlay visualization where the colors correspond to the frequency of keywords across the average publication year, with the majority of keywords appearing post-2019, as indicated by greener and yellower hues. The statistical analysis underscored the significant association of a multitude of diseases and pathophysiological states with epigenetic modifications in neurological research. Table 3 enumerates the top 10 diseases and pathophysiological states linked to epigenetic research in neurology. Prominently, Alzheimer's disease, cancer, and schizophrenia were identified as the diseases most relevant to epigenetic studies in neurology. Furthermore, in terms of pathological mechanisms, DNA methylation, epigenetic regulation, oxidative stress, synaptic plasticity, and transcription were the most extensively explored facets in the field of neurological epigenetic modifications. Table 3 Top 10 diseases and pathologies involved in research of epigenetic modifications in neurology Rank Disease Occurrence Pathophysiology Occurrence 1 Alzheimer’s disease 671 DNA methylation 2117 2 Cancer 486 Epigenetic regulation 707 3 Schizophrenia 364 Oxidative stress 542 4 Bipolar disorder 240 Synaptic plasticity 497 5 Rett's disorder 239 Transcription 467 6 Parkinson disease 222 Mutations 374 7 Prenatal stress 140 Genome-wide association 290 8 Posttraumatic Stress disorder 124 Histone acetylation 239 9 Huntington disease 122 Hypermethylation 152 10 Tumors 116 Histone modifications 150 Citation and Co-Citation A citation analysis identified that, after excluding 41 non-topic related items, 81 documents were cited over 500 times (Fig. 8 A). Scrutinizing the frequency of citations, the top ten most-cited documents were discerned and are delineated in Table 4 . Citations spanned from 248 to 591. Notably, \"Epigenetic regulation of the glucocorticoid receptor in human brain associates with childhood abuse,\" authored by P. O. McGowan et al., in 2009, procured the pinnacle of citations at 591 in Nature Neuroscience. The subsequent ranking article, \"Global epigenomic reconfiguration during mammalian brain development\" by R. Lister et al., in 2013, amassed 458 citations. The third in rank, \"The nuclear DNA base 5-hydroxymethylcytosine is present in Purkinje neurons and the brain,\" by S. Kriaucionis et al., in 2009, garnered 426 citations. To further delineate the core references, a supplementary co-citation analysis was conducted on 70 references that exceeded the 200 citation threshold (Fig. 8 B). Table 5 enumerates the ten preeminent references, with the quintet of most-cited works being I. C. Weaver's 2004 piece in Nature Neuroscience, cited 817 times; P. O. McGowan's 2009 work, also in Nature Neuroscience, with 591 citations; T. Kouzarides's 2007 article in Cell with 480 citations; R. Lister's 2013 publication in Science with 458 citations; and M. Tahiliani's 2009 article in Science, cited 435 times. Table 4 Top 10 highly citation analysis of publications in research of epigenetic modifications in neurology Rank Title First author Journals Publication year Total citations 1 Epigenetic regulation of the glucocorticoid receptor in human brain associates with childhood abuse P. O. McGowan Nat Neurosci 2009 591 2 Global epigenomic reconfiguration during mammalian brain development R. Lister Science 2013 458 3 The nuclear DNA base 5-hydroxymethylcytosine is present in Purkinje neurons and the brain S. Kriaucionis Science 2009 426 4 Epigenetic regulation in psychiatric disorders N. Tsankova Nat Rev Neurosci 2007 355 5 Lasting epigenetic influence of early-life adversity on the BDNF gene T. L. Roth Biol Psychiatry 2009 340 6 Epigenetic regulation of BDNF gene transcription in the consolidation of fear memory F. D. Lubin J Neurosci 2008 318 7 Dynamic DNA methylation programs persistent adverse effects of early-life stress Clavaguera F Nat Cell Biol 2009 282 8 Dynamic DNA methylation programs persistent adverse effects of early-life stress C. Murgatroyd Nat Neurosci 2009 266 9 5-hmC-mediated epigenetic dynamics during postnatal neurodevelopment and aging K. E. Szulwach Nat Neurosci 2011 256 10 Hydroxylation of 5-methylcytosine by TET1 promotes active DNA demethylation in the adult brain J. U. Guo Cell 2011 248 Table 5 Top 10 highly co-citation analysis of publications in research of epigenetic modifications in neurology Rank Title First author Journals Publication year Total citations 1 Epigenetic programming by maternal behavior I. C. Weaver Nat Neurosci 2004 817 2 Epigenetic regulation of the glucocorticoid receptor in human brain associates with childhood abuse P. O. McGowan Nat Neurosci 2009 591 3 Chromatin modifications and their function T. Kouzarides Cell 2007 480 4 Global epigenomic reconfiguration during mammalian brain development R. Lister Science 2013 458 5 Conversion of 5-methylcytosine to 5-hydroxymethylcytosine in mammalian DNA by MLL partner TET1 M. Tahiliani Science 2009 435 6 Epigenetic regulation of gene expression: how the genome integrates intrinsic and environmental signals R. Jaenisch Nat Genet 2003 428 7 HDAC2 negatively regulates memory formation and synaptic plasticity J. S. Guan Nature 2009 426 8 The nuclear DNA base 5-hydroxymethylcytosine is present in Purkinje neurons and the brain S. Kriaucionis Science 2009 425 9 Rett syndrome is caused by mutations in X-linked MECP2, encoding methyl-CpG-binding protein 2 R. E. Amir Nat Genet 1999 404 10 Sustained hippocampal chromatin regulation in a mouse model of depression and antidepressant action N. M. Tsankova Nat Neurosci 2006 392 Discussion The Present Situation In Research Of Epigenetic Modifications In Neurology To our knowledge, this study represents the inaugural bibliometric analysis specifically focused on epigenetic modifications within the field of neurology. By meticulously examining 12,964 publications indexed in the WoSCC, this study has crafted a detailed portrait of the global hotspots and evolving trends that have characterized the intersection of neurology and epigenetics research over the course of the past twenty years. This investigation highlights the remarkable global research efforts that have contributed to the current understanding of neurological epigenetics. Our analysis has unveiled a marked escalation in the volume of publications since 2004, indicative of the burgeoning interest in the realm of epigenetic modifications within neurology. The United States and McGill University stand out as the most prominent country and institution, respectively. Nature emerges as the leading journal, boasting the highest number of publications and citations. J. Mill has established himself as the most prodigious author, while E.J. Nestler holds the distinction of being the most cited author in the field. The analysis through the bibliometrix website revealed that the five most frequently occurring keywords are \"expression,\" \"DNA methylation,\" \"brain,\" \"gene-expression,\" and \"gene,\" as shown by a comprehensive keyword analysis. Due to the software detecting inaccuracies in the keyword analysis, we conducted a further manual analysis of the frequently occurring keywords. We found that key research interests in neurology, with Alzheimer's disease, cancer, and schizophrenia being the most studied diseases in the context of epigenetics. DNA methylation, oxidative stress, and synaptic plasticity are predominant pathophysiological processes scrutinized in conjunction with epigenetic alterations in neurological research. Combining the reference literature analysis results, we discerned that the glucocorticoid receptors in neuroepigenetics, hydroxymethylcytosine in neural DNA, epigenetic patterns in mental health, alongside BDNF gene and memory consolidation are the focal research themes within the realm of epigenetics in neurology. Thus, our findings illuminate key hot spots and emerging trends within epigenetic research in neurology, potentially guiding more targeted and profound investigations in this domain. Future Prospect Our analysis, visualized through co-occurrence network maps clustered by topic area or publication date, revealed the current hot topics and potential future directions in the field of neurology epigenetics research. Combining the results from our analysis, we identified key focal research themes in the field of neurology epigenetics, including glucocorticoid receptors in neuroepigenetics, hydroxymethylcytosine in neural DNA, epigenetic patterns in mental health, and the epigenetic regulation of the BDNF gene and memory consolidation. The latest themes that indicate future trends in this field are as follows. Glucocorticoid Receptors in Neuroepigenetics Glucocorticoid receptors (GRs) function as intricate transcription factors that respond to fluctuating levels of glucocorticoids in the body, hormones critical for maintaining homeostasis, particularly during stress. The GRs engage in a diverse array of interactions within the cellular environment, playing a central role in the stress response and affecting a range of neurological functions [5]. This detailed interaction occurs at both the histone and DNA levels, where GRs influence and are influenced by epigenetic modifications. Recent findings indicate that GRs actively participate in the epigenetic regulation by modifying chromatin structure, thereby modulating gene expression responsive to environmental cues [6]. This epigenetic regulation occurs through interactions with a spectrum of molecules, including histone-modifying enzymes, DNA-modifying enzymes, and noncoding RNAs, each of which can alter the epigenetic landscape and influence GR function in return [7]. Histone modifications, such as methylation and acetylation, have been observed to change following GR activation, which in turn affects transcriptional outcomes. GRs interact with histone acetyltransferases (HATs) like GRIP1, which recruits additional transcriptional coactivators, and with histone methyltransferases (HMTs) like G9a, which can function as a coactivator rather than a repressor when associated with GR [8, 9]. Furthermore, DNA methylation patterns are also affected by GRs. The ligand-bound GRs can alter the expression of DNA methyltransferases (DNMTs), influencing the methylation status of GR target genes. For instance, the interaction of GR with DNMTs can lead to changes in gene expression that could persist over time, potentially even across generations, emphasizing the role of GRs in the long-term programming of biological responses [10]. The study by Bartlett et al. emphasizes the dynamic relationship between GRs and noncoding RNAs (ncRNAs), such as the ncRNA Gas5, which can act as a \"decoy\" to modulate GR activity and subsequent gene expression [11]. These interactions between GRs and ncRNAs suggest a novel layer of complexity in the regulation of gene networks by glucocorticoids. Collectively, these mechanisms represent a bidirectional communication between the GRs and the epigenetic landscape, highlighting the role of GR in transducing environmental signals into specific cellular responses. These responses are not only crucial in the context of stress and adaptation but also have far-reaching implications for our understanding of neurodevelopmental, psychiatric, and neurodegenerative disorders. Hydroxymethylcytosine in Neural DNA Hydroxymethylcytosine (5-hmC), once thought to be a rare DNA modification, has emerged as a critical epigenetic marker in neural DNA, particularly within the mammalian brain [12]. Found predominantly in neuronal cells, 5-hmC plays a pivotal role in brain development and neuroplasticity. Research into this modification has revealed that it is not merely an intermediate in DNA demethylation, as once assumed, but a stable epigenetic mark that actively participates in the regulation of gene expression [13]. The significance of 5-hmC is underscored by its enrichment in the brain, where it is implicated in the regulation of gene transcription critical for neuronal differentiation and synaptic function. Studies have demonstrated that 5-hmC levels change during brain development and in response to neuronal activity, indicating its role in dynamic epigenetic regulation [14]. The enzymes responsible for depositing 5-hmC, the Ten-Eleven Translocation (TET) family of dioxygenases, have been extensively studied for their role in modulating this epigenetic mark. Emerging research suggests that aberrations in the levels of 5-hmC or in the activity of TET enzymes are associated with neurological disorders such as Alzheimer's disease, schizophrenia, and Rett syndrome[15, 16]. This has led to a surge in studies exploring 5-hmC as a potential biomarker for neurodevelopmental and neurodegenerative diseases, as well as a target for therapeutic interventions. For instance, manipulating TET enzyme activity could potentially alter aberrant 5-hmC marking in diseased states, offering a new avenue for treatment strategies. Recent advancements in high-throughput sequencing and CRISPR/Cas9 technology have facilitated in-depth studies of 5-hmC's distribution and function [17, 18]. These technologies enable the precise mapping of 5-hmC within the genome and the targeted manipulation of TET enzymes, providing insights into the direct functional consequences of this epigenetic mark on neural gene expression. The study of 5-hmC in neural DNA is a rapidly evolving field that promises to deepen our understanding of the epigenetic complexity of the brain. By elucidating the mechanisms through which 5-hmC contributes to neurodevelopment and neural function, researchers are paving the way for innovative approaches to diagnose and treat neurological conditions. Epigenetic Patterns in Mental Health The elucidation of epigenetic patterns in mental health has opened new avenues for understanding how genetics and the environment interact to shape mental health outcomes. Epigenetic mechanisms such as DNA methylation (DNAm)have been identified as central players in a range of psychiatric conditions, acting both specifically and transdiagnostically across various disorders [19]. These mechanisms, when dysregulated, are central to the vulnerability, manifestation, and trajectory of mental health disorders, providing potential biomarkers for early identification and intervention. Studies have linked chromatin-based processes, influenced by neuronal activity, to persistent changes in neural circuit activity and behavior, such as in substance use disorder. Furthermore, the serotoninergic and dopaminergic pathways, among others, have been implicated in psychiatric diseases, with DNAm modifications serving as key indicators of these pathways' dysfunctions. For example, alterations in the serotonin transporter genes have shown increased methylation in depression, indicating a possible epigenetic basis for the disorder [20]. Research has also shown that the epigenome acts at the interface of the environment and the genome, being manipulated by neuronal circuit activity to coordinate gene expression that supports neural plasticity[21, 22]. Activity-dependent gene expression requires dynamic chromatin changes, with histone modifications such as acetylation and methylation regulating gene expression in response to experiences. These findings are pivotal as they suggest that certain epigenetic marks have long-lasting effects on gene expression that extend beyond the initial neural stimulation. The direction of the associations between DNAm, mental health disorders, and clinical or biological outcomes has been summarized, pointing to the mediation analyses that clarify how DNAm modifications can mediate the effects of environmental exposures, like childhood adversity, on depressive symptoms [22, 23]. These revelations underscore the importance of epigenetic regulation in learning and memory, and its potential impact across clinical research on memory-related disorders. Advancements in our understanding of chromatin-based mechanisms in memory are anticipated to have wide-ranging implications in molecular neuroscience and clinical research, furthering the potential for developing targeted therapies for memory-related disorders. Epigenetic regulation of BDNF gene and Memory Consolidation The Brain-Derived Neurotrophic Factor (BDNF) gene is integral to the process of memory consolidation, acting as a modulator of synaptic plasticity and neuronal resilience. The epigenetic regulation of BDNF represents a crucial interface where genetic predisposition meets environmental influence, resulting in varied expressions of BDNF that have profound effects on cognitive function [24, 25]. Memory consolidation, the process by which temporary, labile memories are converted into stable, long-term memories, heavily relies on the proper functioning of BDNF [26]. BDNF facilitates the strengthening of synapses, particularly in the hippocampus, a brain region essential for learning and memory. Recent research has delved into the complexities of how epigenetic mechanisms control BDNF expression and, by extension, affect memory consolidation. Epigenetic modifications—including DNA methylation, histone acetylation, and RNA-associated silencing—play pivotal roles in the regulation of BDNF. These modifications can change in response to external stimuli such as stress, learning activities, or environmental enrichment, thereby influencing BDNF levels. For example, an increase in histone acetylation at the BDNF gene promoter is associated with enhanced expression, promoting neural plasticity and stronger memory consolidation [27]. Emerging studies have utilized advanced epigenetic editing tools to demonstrate how targeted manipulation of epigenetic markers at the BDNF locus can modify memory outcomes. This approach has highlighted the potential for developing epigenetic therapies aimed at improving learning and memory, which could be particularly beneficial in cognitive disorders where BDNF expression is compromised. Furthermore, research has indicated that disruptions in the epigenetic regulation of BDNF are linked to several neurodegenerative and psychiatric disorders, including Alzheimer's disease and depression, both of which involve memory impairments [28, 29]. This connection underscores the therapeutic potential of targeting BDNF epigenetic regulation to ameliorate memory deficits in these conditions. Continuous advances in high-throughput epigenetic profiling and genome-editing technologies offer promising prospects for more detailed explorations into the epigenetic mechanisms underlying BDNF regulation. These technologies not only allow for the precise mapping of epigenetic changes across different stages of memory consolidation but also provide tools for potentially reversing detrimental epigenetic modifications associated with memory loss. Strengths and Limitations In this bibliometric analysis, we employed network visualizations to scrutinize global publications on epigenetic modifications in neurology, utilizing the R bibliometrix package along with VOSviewer for network construction and visualization. However, this approach has its constraints. The analysis was mainly limited to the WoSCC, potentially excluding relevant publications from other databases such as PubMed and Scopus. Despite this, WoSCC is a prevalent choice for publication analysis in scientometric studies due to its broad coverage of journal formats. Additionally, while our study did not set out to limit by language, only English language studies were reviewed, which might introduce a selection bias, considering that WoSCC primarily provides English abstracts. Furthermore, there's a possibility that some significant works have not been duly recognized by citation count, even if they are from reputed journals. Conclusion In this comprehensive bibliometric review of 12,964 publications from the Web of Science Core Collection, we present a nuanced analysis of the dynamic progression in neurology's epigenetic research. The notable increase in scholarly attention since 2004 signals a burgeoning interest in epigenetic mechanisms within neurology. The United States, with McGill University at the forefront, leads in research output, indicating a geographic and institutional concentration of expertise in this area. The journal Nature stands preeminent, reflecting the highest volume of influential publications and citations. In the realm of authorship, J. Mill's extensive contributions and E.J. Nestler's significant citation impact mark them as leading voices in the field. Discrepancies revealed through bibliometrix software prompted a manual reevaluation of keyword prevalence, further confirming that Alzheimer's disease, cancer, and schizophrenia remain focal diseases in epigenetic neurology studies. Core pathophysiological processes such as DNA methylation, oxidative stress, and synaptic plasticity are intricately examined for their roles in neurological epigenetic alterations. Our meticulous synthesis delineates critical research trajectories and underscores the vibrant, emerging trends in epigenetic research in neurology, offering a scaffold for future targeted investigations and potentially transformative insights into neurological disorders. Declarations Author Contributions XSY contributed to conceptualization. XSY and ZSY contributed to data collection and data analysis. XSY, ZXY, and ZCL contributed to writing the paper and revise the paper. ZCL prepared the figures. PYJ and XM contributed to fundraise, provide administrative and material support, and supervise the study. All authors approved the final version of this paper. Funding declaration This work was supported by the Applied Basic Research(Medical and Health) Science and Technology Innovation(SYW2024156), and Doctoral Research Initiation Fund Project(2024BSJJ04). Conflict Of Interest Statement The authors declare no competing interests. Data Availability Statement The original contributions presented in the study are included in the article material, and further inquiries are available by contacting the corresponding/first authors. References Goldberg AD, Allis CD, Bernstein E. Epigenetics: a landscape takes shape. Cell. 2007;128(4):635-8. Allis CD, Jenuwein T. The molecular hallmarks of epigenetic control. Nat Rev Genet. 2016;17(8):487-500. Berry KP, Lu QR. Chromatin modification and epigenetic control in functional nerve regeneration. Semin Cell Dev Biol. 2020;97:74-83. Cheng Y, Song H, Ming GL, Weng YL. Epigenetic and epitranscriptomic regulation of axon regeneration. Mol Psychiatry. 2023;28(4):1440-50. Bartlett AA, Lapp HE, Hunter RG. Epigenetic Mechanisms of the Glucocorticoid Receptor. Trends Endocrinol Metab. 2019;30(11):807-18. Wiley JW, Higgins GA, Athey BD. Stress and glucocorticoid receptor transcriptional programming in time and space: Implications for the brain-gut axis. Neurogastroenterol Motil. 2016;28(1):12-25. Mourtzi N, Sertedaki A, Charmandari E. Glucocorticoid Signaling and Epigenetic Alterations in Stress-Related Disorders. Int J Mol Sci. 2021;22(11). Kang SW, Madkour M, Kuenzel WJ. Tissue-Specific Expression of DNA Methyltransferases Involved in Early-Life Nutritional Stress of Chicken, Gallus gallus. Front Genet. 2017;8:204. Bittencourt D, Wu DY, Jeong KW, Gerke DS, Herviou L, Ianculescu I, et al. G9a functions as a molecular scaffold for assembly of transcriptional coactivators on a subset of glucocorticoid receptor target genes. Proc Natl Acad Sci U S A. 2012;109(48):19673-8. Kawakami-Mori F, Nishimoto M, Reheman L, Kawarazaki W, Ayuzawa N, Ueda K, et al. Aberrant DNA methylation of hypothalamic angiotensin receptor in prenatal programmed hypertension. JCI Insight. 2018;3(21). Bartlett AA, Hunter RG. Transposons, stress and the functions of the deep genome. Front Neuroendocrinol. 2018;49:170-4. Zhuang Y, Chen J, Xu W, Shu Q, Li X. The Detection of 5-Hydroxymethylcytosine in Neural Stem Cells and Brains of Mice. J Vis Exp. 2019(151). Guo JU, Su Y, Zhong C, Ming GL, Song H. Hydroxylation of 5-methylcytosine by TET1 promotes active DNA demethylation in the adult brain. Cell. 2011;145(3):423-34. Szulwach KE, Li X, Li Y, Song CX, Wu H, Dai Q, et al. 5-hmC-mediated epigenetic dynamics during postnatal neurodevelopment and aging. Nat Neurosci. 2011;14(12):1607-16. Buch ER, Claudino L, Quentin R, Bonstrup M, Cohen LG. Consolidation of human skill linked to waking hippocampo-neocortical replay. Cell Rep. 2021;35(10):109193. Ellison EM, Bradley-Whitman MA, Lovell MA. Single-Base Resolution Mapping of 5-Hydroxymethylcytosine Modifications in Hippocampus of Alzheimer's Disease Subjects. J Mol Neurosci. 2017;63(2):185-97. Huang W, Campbell T, Carbone MA, Jones WE, Unselt D, Anholt RRH, et al. Context-dependent genetic architecture of Drosophila life span. PLoS Biol. 2020;18(3):e3000645. Greco CM, Kunderfranco P, Rubino M, Larcher V, Carullo P, Anselmo A, et al. DNA hydroxymethylation controls cardiomyocyte gene expression in development and hypertrophy. Nat Commun. 2016;7:12418. Liu C, Jiao C, Wang K, Yuan N. DNA Methylation and Psychiatric Disorders. Prog Mol Biol Transl Sci. 2018;157:175-232. Booij L, Szyf M, Carballedo A, Frey EM, Morris D, Dymov S, et al. DNA methylation of the serotonin transporter gene in peripheral cells and stress-related changes in hippocampal volume: a study in depressed patients and healthy controls. PLoS One. 2015;10(3):e0119061. Schmidt R, Herrojo Ruiz M, Kilavik BE, Lundqvist M, Starr PA, Aron AR. Beta Oscillations in Working Memory, Executive Control of Movement and Thought, and Sensorimotor Function. J Neurosci. 2019;39(42):8231-8. Baillet S. Magnetoencephalography for brain electrophysiology and imaging. Nat Neurosci. 2017;20(3):327-39. Brimberg L, Sadiq A, Gregersen PK, Diamond B. Brain-reactive IgG correlates with autoimmunity in mothers of a child with an autism spectrum disorder. Mol Psychiatry. 2013;18(11):1171-7. Hjort L, Rushiti F, Wang SJ, Fransquet P, S PK, S IC, et al. Intergenerational effects of maternal post-traumatic stress disorder on offspring epigenetic patterns and cortisol levels. Epigenomics. 2021;13(12):967-80. Kertes DA, Bhatt SS, Kamin HS, Hughes DA, Rodney NC, Mulligan CJ. BNDF methylation in mothers and newborns is associated with maternal exposure to war trauma. Clin Epigenetics. 2017;9:68. Cieslak M, Wojtczak A. Role of purinergic receptors in the Alzheimer's disease. Purinergic Signal. 2018;14(4):331-44. Bredy TW, Wu H, Crego C, Zellhoefer J, Sun YE, Barad M. Histone modifications around individual BDNF gene promoters in prefrontal cortex are associated with extinction of conditioned fear. Learn Mem. 2007;14(4):268-76. Olfson M, Mojtabai R, Merikangas KR, Compton WM, Wang S, Grant BF, et al. Reexamining associations between mania, depression, anxiety and substance use disorders: results from a prospective national cohort. Mol Psychiatry. 2017;22(2):235-41. Capera J, Serrano-Novillo C, Navarro-Perez M, Cassinelli S, Felipe A. The Potassium Channel Odyssey: Mechanisms of Traffic and Membrane Arrangement. Int J Mol Sci. 2019;20(3). Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 11 Apr, 2025 Read the published version in Molecular Neurobiology → Version 1 posted Editorial decision: Revision requested 17 Feb, 2025 Reviews received at journal 16 Feb, 2025 Reviews received at journal 13 Feb, 2025 Reviewers agreed at journal 10 Feb, 2025 Reviewers agreed at journal 08 Feb, 2025 Reviewers agreed at journal 07 Feb, 2025 Reviewers invited by journal 07 Feb, 2025 Editor assigned by journal 14 Jan, 2025 Submission checks completed at journal 14 Jan, 2025 First submitted to journal 02 Nov, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {\"props\":{\"pageProps\":{\"initialData\":{\"identity\":\"rs-5377025\",\"acceptedTermsAndConditions\":true,\"allowDirectSubmit\":false,\"archivedVersions\":[],\"articleType\":\"Research Article\",\"associatedPublications\":[],\"authors\":[{\"id\":402008280,\"identity\":\"0d5d6609-1a98-4605-bc20-84d61a62360b\",\"order_by\":0,\"name\":\"Shu-Ying Xu\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"Kunshan Hospital of Traditional Chinese Medicine, Kunshan Affiliated Hospital of Nanjing University of Chinese 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decades.\\u003c/p\\u003e\",\"description\":\"\",\"filename\":\"1.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-5377025/v1/e7f6786510e9fcde63802e40.png\"},{\"id\":73948801,\"identity\":\"00d63cca-d5e4-436c-8253-64da62d19a10\",\"added_by\":\"auto\",\"created_at\":\"2025-01-16 09:12:29\",\"extension\":\"png\",\"order_by\":2,\"title\":\"Figure 2\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":17808,\"visible\":true,\"origin\":\"\",\"legend\":\"\\u003cp\\u003eAnnual publication and predicted trend on the research of epigenetic modifications in neurology\\u003c/p\\u003e\",\"description\":\"\",\"filename\":\"2.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-5377025/v1/a8f13794d5cf4a8f4e29f1e9.png\"},{\"id\":73947593,\"identity\":\"c541e6a2-3906-4fac-ba3f-618af4a3ded1\",\"added_by\":\"auto\",\"created_at\":\"2025-01-16 09:04:31\",\"extension\":\"png\",\"order_by\":3,\"title\":\"Figure 3\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":149507,\"visible\":true,\"origin\":\"\",\"legend\":\"\\u003cp\\u003eCountries contributing to research on epigenetic modifications in neurology.\\u003cstrong\\u003e (A) \\u003c/strong\\u003eGlobal distribution of scientific research output on epigenetic modifications in neurology. \\u003cstrong\\u003e(B) \\u003c/strong\\u003eAnnual research output on epigenetic modifications in neurology from the top 10 most productive countries. \\u003cstrong\\u003e(C) \\u003c/strong\\u003eTop 10 ranked countries in total citations of related publications.\\u003c/p\\u003e\",\"description\":\"\",\"filename\":\"3.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-5377025/v1/315157cf4d32945e17b1d34a.png\"},{\"id\":73947572,\"identity\":\"0b4c1a66-c035-4e29-9c5b-0e217dc3a662\",\"added_by\":\"auto\",\"created_at\":\"2025-01-16 09:04:30\",\"extension\":\"png\",\"order_by\":4,\"title\":\"Figure 4\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":294025,\"visible\":true,\"origin\":\"\",\"legend\":\"\\u003cp\\u003eGlobal Epigenetic Neurology Research Collaboration.\\u003cstrong\\u003e (A)\\u003c/strong\\u003e Countries collaboration world map of research on epigenetic modifications in neurology. \\u003cstrong\\u003e(B, C) \\u003c/strong\\u003eThe network map of countries for research on epigenetic modifications in neurology.\\u003c/p\\u003e\",\"description\":\"\",\"filename\":\"4.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-5377025/v1/7b2dec73c96ea02e46b04640.png\"},{\"id\":73947553,\"identity\":\"7b930a30-bfe8-4916-a586-f0b74f3c0ae2\",\"added_by\":\"auto\",\"created_at\":\"2025-01-16 09:04:29\",\"extension\":\"png\",\"order_by\":5,\"title\":\"Figure 5\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":260364,\"visible\":true,\"origin\":\"\",\"legend\":\"\\u003cp\\u003eAcademic Network of Epigenetic Neurology Research Collaborations Displayed through Overlay Visualization.\\u003c/p\\u003e\",\"description\":\"\",\"filename\":\"5.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-5377025/v1/0be8929cff2a893be13368c9.png\"},{\"id\":73947586,\"identity\":\"8f278e75-06ec-4a19-8ab5-bd8420852a86\",\"added_by\":\"auto\",\"created_at\":\"2025-01-16 09:04:31\",\"extension\":\"png\",\"order_by\":6,\"title\":\"Figure 6\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":139326,\"visible\":true,\"origin\":\"\",\"legend\":\"\\u003cp\\u003eAuthors analysis in research of epigenetic modifications in neurology.(A) The top 10 prolific authors. (B) The top 10 rank authors with the highest citations. (C) The top 10 rank authors with the highest\\u003cem\\u003e g\\u003c/em\\u003e-index. (D)The top 10 rank authors with the highest\\u003cem\\u003eh\\u003c/em\\u003e-index. (E) The top 10 rank authors with the highest \\u003cem\\u003em-\\u003c/em\\u003eindex. (F)Network visualization map of co-authorship between authors.\\u003c/p\\u003e\",\"description\":\"\",\"filename\":\"6.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-5377025/v1/ad723fb63b0695693debcb2a.png\"},{\"id\":73948887,\"identity\":\"160a3dc3-0497-45ab-bc41-783badceeda0\",\"added_by\":\"auto\",\"created_at\":\"2025-01-16 09:20:32\",\"extension\":\"png\",\"order_by\":7,\"title\":\"Figure 7\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":533631,\"visible\":true,\"origin\":\"\",\"legend\":\"\\u003cp\\u003eKeywords analysis in research of epigenetic modifications in neurology. (A) The word cloud of the keywords. (B) The cluster density visualization of keywords with the highest citations. (C) Keywords in overlay visualization.\\u003c/p\\u003e\",\"description\":\"\",\"filename\":\"7.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-5377025/v1/a1fa37a0e7a5e10f2c17946a.png\"},{\"id\":73948805,\"identity\":\"65918502-1a3a-4737-afa7-6d977157602e\",\"added_by\":\"auto\",\"created_at\":\"2025-01-16 09:12:30\",\"extension\":\"png\",\"order_by\":8,\"title\":\"Figure 8\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":250096,\"visible\":true,\"origin\":\"\",\"legend\":\"\\u003cp\\u003eCitation and Co-Citation analysis in research of epigenetic modifications in neurology. (A) Network map of citation analysis of documents with more than 500 citations. (B) Network map of co-citation analysis of references with more than 50 citations.\\u003c/p\\u003e\",\"description\":\"\",\"filename\":\"8.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-5377025/v1/f521309e92ad4d6cb8bb06bd.png\"},{\"id\":80558634,\"identity\":\"f8379406-a66e-4bc3-b832-c962e8a97bfe\",\"added_by\":\"auto\",\"created_at\":\"2025-04-14 16:15:20\",\"extension\":\"pdf\",\"order_by\":0,\"title\":\"\",\"display\":\"\",\"copyAsset\":false,\"role\":\"manuscript-pdf\",\"size\":2635826,\"visible\":true,\"origin\":\"\",\"legend\":\"\",\"description\":\"\",\"filename\":\"manuscript.pdf\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-5377025/v1/c8a71e14-a702-4422-ab10-7db977615c81.pdf\"}],\"financialInterests\":\"No competing interests reported.\",\"formattedTitle\":\"Emerging trends and hot spots in epigenetic modifications in neurology: A bibliometric analysis\",\"fulltext\":[{\"header\":\"Introduction\",\"content\":\"\\u003cp\\u003eIn the expansive domain of neuroscience, the intricate layers of gene expression regulation hold pivotal clues to the understanding of neurodevelopmental, neurophysiological, and neurodegenerative processes. Epigenetic modifications, transcending the simplistic bounds of the genetic code, offer a dynamic and reversible means of gene regulation that responds to both intrinsic and environmental cues [1]. The incorporation of epigenetic perspectives into neurological studies has not only enriched our comprehension of the complexities of central nervous system but has also illuminated pathways to novel therapeutic strategies.\\u003c/p\\u003e \\u003cp\\u003eAs depicted in Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig1\\\" class=\\\"InternalRef\\\"\\u003e1\\u003c/span\\u003e, the last twenty years has witnessed a remarkable surge in epigenetic research within neurology. This burgeoning interest has been driven by the recognition that epigenetic mechanisms\\u0026mdash;such as DNA methylation, histone acetylation, and RNA-mediated regulation\\u0026mdash;serve as critical modulators of gene expression without altering the underlying DNA sequence [2]. These modifications are crucial for synaptic plasticity, cognitive function, and resilience or vulnerability to neural pathology [3, 4].\\u003c/p\\u003e \\u003cp\\u003eAs the field matures, it becomes imperative to map the landscape of research endeavors and intellectual contributions. A bibliometric analysis serves as a robust tool to dissect the complex web of scientific advancements, offering invaluable insights into the evolution of epigenetic studies in neurology. This paper aims to conduct a comprehensive bibliometric analysis to delineate the emerging trends and hot spots in epigenetic modifications in neurology. By evaluating the corpus of literature, this study will uncover the pivotal themes, influential studies, and seminal authors shaping the trajectory of epigenetic research. Such an analysis not only charts a course for current research foci but also signals potential avenues for future exploration that could catalyze breakthroughs in understanding and treating neurological conditions.\\u003c/p\\u003e \\u003cp\\u003e \\u003c/p\\u003e\"},{\"header\":\"Methods\",\"content\":\"\\u003cdiv id=\\\"Sec3\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eData Source and Search Strategy\\u003c/h2\\u003e \\u003cp\\u003eThe Web of Science (WoS) database is widely recognized for its comprehensive coverage across numerous disciplines and its provision of extensive bibliographic content, it supports deep dives into scholarly research, facilitating detailed analyses of scientific trends, research outputs, and citation impacts. For this investigation, the Web of Science Core Collection (WoSCC) was selected as the foundational data source, emphasizing its critical role in facilitating a comprehensive and detailed analysis, with data extracted on April 2, 2024.\\u003c/p\\u003e \\u003cp\\u003eTo identify relevant publications, a MeSH (Medical Subject Headings) search strategy was employed, focusing on \\\"nervous system diseases\\\" and \\\"epigenetic\\\" as derived from the MeSH database. (\\u003cspan class=\\\"ExternalRef\\\"\\u003e\\u003cspan class=\\\"RefSource\\\"\\u003ehttps://www.ncbi.nlm.nih.gov/mesh\\u003c/span\\u003e\\u003cspan address=\\\"https://www.ncbi.nlm.nih.gov/mesh\\\" targettype=\\\"URL\\\" class=\\\"RefTarget\\\"\\u003e\\u003c/span\\u003e\\u003c/span\\u003e). The search query was formulated as follows: TS=(\\u0026ldquo;neurology\\u0026rdquo; or \\u0026ldquo;neurology\\u0026rdquo; or \\u0026ldquo;neurological\\u0026rdquo; or \\u0026ldquo;neurodegenerative disease\\u0026rdquo; or \\u0026ldquo;brain\\u0026rdquo; or \\u0026ldquo;cerebral\\u0026rdquo; or \\u0026ldquo;neurological\\u0026rdquo;) AND TS=(epigenetic* OR epigenomic*) with publication timespan(2004\\u0026ndash;2024). The search was intentionally restricted to include only publications in English. To capture high-quality, relevant literature, the selection was narrowed to articles and reviews, totaling 12,964 qualifying publications. Excluded were document types like meeting abstracts, editorials, and meeting-related materials, removing 705 documents from consideration. The filtered set of eligible publications was then downloaded as a .txt file from the WoSCC, ensuring a focused and comprehensive dataset for analysis.\\u003c/p\\u003e \\u003c/div\\u003e\\n\\u003ch3\\u003eBibliometric Analysis and Visualization\\u003c/h3\\u003e\\n\\u003cp\\u003eThe bibliographic information for the selected publications was processed and analyzed using the bibliometrix package in R version 4.0.3. The bibliographic data of the chosen publications was automatically converted and analyzed using the bibliometrix package in R 4.0.3. This automated approach facilitates a comprehensive and efficient analysis of the dataset, allowing for the extraction of valuable insights and trends from the bibliographic data. The analysis covered several dimensions, including the distribution of countries/regions, publication years, and authors. To assess the quality of contributions made by authors in this research field, a set of bibliometric indicators was employed. These indicators evaluated various performance aspects such as the number of publications, the citation impact within the research domain, and all the \\u003cem\\u003eg\\u003c/em\\u003e-index, \\u003cem\\u003eh\\u003c/em\\u003e-index and \\u003cem\\u003em\\u003c/em\\u003e-index of authors, providing a multifaceted view of research productivity and influence.\\u003c/p\\u003e \\u003cp\\u003eNetwork construction utilized VOSviewer software (Version 1.6.16, from Leiden University, the Netherlands), enabling the analysis of co-authorship (across countries, institutions, authors), co-citation (among journals and references), citation analysis of documents, and keyword co-occurrence. This multifaceted approach facilitates a comprehensive visualization and understanding of the relationships and trends within the research data. Scimagp Graphica was used to visualize and elucidate the network relationships among countries. This tool made it possible to analyze and display how different countries are interconnected and collaborate within the research domain, offering insights into the global landscape of academic partnerships and knowledge exchange. For experts and scholars in the field, being informed about the current research on epigenetic modifications in neurology and identifying future research opportunities are critical. This knowledge helps them stay current with the latest scientific progress, pinpoint areas where existing research is lacking, and aid in the generation of new insights within the realm of epigenetic modifications in neurology, thereby pushing the boundaries of what is known and contributing to the advancement of the field.\\u003c/p\\u003e\"},{\"header\":\"Results\",\"content\":\"\\u003cdiv id=\\\"Sec6\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eDistribution of publications by year\\u003c/h2\\u003e \\u003cp\\u003eThe last two decades have witnessed a remarkable increase in the study of epigenetic modifications in neurology, highlighting a growing interest in understanding how epigenetic factors contribute to neurological diseases and conditions(Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig2\\\" class=\\\"InternalRef\\\"\\u003e2\\u003c/span\\u003e). Among the 12,964 publications, a substantial majority, or 69.32% (8,987 articles), are research articles. Review articles constitute 30.68% (3,977 articles), showcasing a comprehensive mix of new research findings and synthesized overviews in the field. As Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig2\\\" class=\\\"InternalRef\\\"\\u003e2\\u003c/span\\u003e illustrates, there has been a striking upward trend from 2004. A significant milestone is noticeable around 2009 when the publications exceeded 200 annually. This ascent continued, reaching approximately 600 by 2013, and despite some fluctuations, it exhibits a general upward trend over the years, peaking around 2023. The decade-long steady increase further reflects an intensifying global focus on neuroepigenetics, underlining the evolution of field as a significant area of scientific inquiry.\\u003c/p\\u003e \\u003cp\\u003e \\u003c/p\\u003e \\u003c/div\\u003e\\n\\u003ch3\\u003eCountries and Regions\\u003c/h3\\u003e\\n\\u003cp\\u003eFigure \\u003cspan refid=\\\"Fig3\\\" class=\\\"InternalRef\\\"\\u003e3\\u003c/span\\u003eA visually presents a global snapshot of research activity in the field of epigenetic modifications in neurology, mapping out the contributions from 122 countries and regions. The varying shades of blue across the map indicate the volume of research output, with darker hues representing higher publication counts. This cartographic representation highlights the widespread international effort to advance our understanding of epigenetics in the neurological sciences.\\u003c/p\\u003e \\u003cp\\u003eRemarkably, the United States stands out as the leading contributor to the field of epigenetic modifications in neurology, with a dominant 6,047 publications, which is a substantial share of the total global output. China follows as a significant contributor, with 1,574 publications. Germany also shows a strong presence with 1,200 contributions, while Canada's robust research efforts resulted in 1,006 publications. England's contribution is notable as well, with 986 publications. Italy, Japan, Spain, France, and Australia also contribute significantly, each with over 500 articles, marking their strong presence in this scientific arena(Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig3\\\" class=\\\"InternalRef\\\"\\u003e3\\u003c/span\\u003eB).\\u003c/p\\u003e \\u003cp\\u003eIn the arena of global citations, the United States' research in epigenetic modifications in neurology stands at the forefront with a remarkable 252,810 citations. Germany and the UK are also key players, securing 31,582 and 29,214 citations respectively. Canada and China are not far behind, demonstrating their research prowess with 28,794 and 26,300 citations. Italy, France, Australia, Spain, and Japan round out the top 10, each with citations ranging from 20,987 to 12,715, underscoring the widespread influence of their contributions (Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig3\\\" class=\\\"InternalRef\\\"\\u003e3\\u003c/span\\u003eC).\\u003c/p\\u003e \\u003cp\\u003eFigure \\u003cspan refid=\\\"Fig4\\\" class=\\\"InternalRef\\\"\\u003e4\\u003c/span\\u003eA depicts the global research collaboration network on epigenetic modifications in neurology. The intricate web of blue lines connects various countries, symbolizing the collaborative efforts. The intensity of the blue shades indicates the robustness of these partnerships, with darker hues representing stronger collaborative ties. Each circle's size correlates with the quantity of research documents produced by that country, highlighting the contributions of each region to the field.\\u003c/p\\u003e \\u003cp\\u003eTo elucidate the scope of international co-authorship, Figs.\\u0026nbsp;\\u003cspan refid=\\\"Fig4\\\" class=\\\"InternalRef\\\"\\u003e4\\u003c/span\\u003eB and \\u003cspan refid=\\\"Fig4\\\" class=\\\"InternalRef\\\"\\u003e4\\u003c/span\\u003eC provide a visualization centered on 29 countries with significant scientific contributions in the domain of epigenetic modifications in neurology, each accounting for over 100 publications. The visualization captures the extent of research collaboration, with the United States standing out for its extensive network, as indicated by its 3,197 collaborative links. England, Germany, France, and Spain also showcase dense networks with their respective totals of 851, 579, 392, and 349 collaborative connections. These figures reflect the vibrancy and interconnectedness of global research efforts in this burgeoning field. To further analyze co-authorship, Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig4\\\" class=\\\"InternalRef\\\"\\u003e4\\u003c/span\\u003eB and \\u003cspan refid=\\\"Fig4\\\" class=\\\"InternalRef\\\"\\u003e4\\u003c/span\\u003eC focused on 20 countries and regions with more than 56 publications in this field. The United States, with 1,357 collaborations, exhibited the highest total link strength. Germany, England, Canada, and Italy also demonstrated significant collaborative networks, with 1,534, 1,533, 1,167, and 1,008 collaborations, respectively.\\u003c/p\\u003e \\u003cp\\u003eThese visualizations highlight the integral nature of collaborative efforts in epigenetic research related to neurology on a global scale. The United States, England, Germany, France, and Spain stand out as pivotal contributors, leading not only in the volume of publications but also in the strength and extent of their research networks. Yet, the significant input from a broader range of countries also plays a critical role, collectively enhancing the field's growth and our comprehensive understanding of epigenetic modifications in neurological disorders.\\u003c/p\\u003e \\u003cp\\u003e \\u003c/p\\u003e \\u003cp\\u003e \\u003c/p\\u003e \\u003cdiv id=\\\"Sec8\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eOrganizations\\u003c/h2\\u003e \\u003cp\\u003eThe statistical analysis has uncovered that 9,058 organizations globally have contributed to research publications in the field of epigenetic modifications in neurology. A detailed examination of the co-authorship networks has been narrowed to scrutinize 30 organizations, each with over 100 documents to their name. Table\\u0026nbsp;\\u003cspan refid=\\\"Tab1\\\" class=\\\"InternalRef\\\"\\u003e1\\u003c/span\\u003e showcases the top 10 most productive organizations in the field of epigenetic modifications in neurology research.\\u003c/p\\u003e \\u003cp\\u003eThe network visualization showcases the collaborative dynamics among leading institutions in the field of epigenetic modifications in neurology research(Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig5\\\" class=\\\"InternalRef\\\"\\u003e5\\u003c/span\\u003e). In this intricate map, each node represents an organization, with its size proportional to the institution\\u0026rsquo;s publication output. The lines illustrate the co-authorship links, with thickness and color intensity reflecting the strength and recency of collaborations, respectively.\\u003c/p\\u003e \\u003cp\\u003eMcGill University in Canada appears as a central node with significant publication contributions, closely interconnected with other major research entities. This suggests a strong, active role in the research community and frequent joint studies. U.S. institutions like Harvard Medical School, Columbia University, and Johns Hopkins University also exhibit substantial interlinking, indicative of their integral positions in cooperative research efforts.\\u003c/p\\u003e \\u003cp\\u003eThe color gradient from purple to yellow across the nodes represents the timeline of publications, with recent activities highlighted in warmer hues. This aspect of the visualization emphasizes the evolving nature of collaboration over time, showcasing how newer partnerships are forming and expanding the research frontier. Consequently, it is evident that in recent years, Harvard Medical School has emerged as a central hub for Epigenetic Neurology Research Collaborations.\\u003c/p\\u003e \\u003cp\\u003eCollectively, these visual representations serve as a testament to the vibrant and international nature of research in epigenetic modifications in neurology, underlining the importance of cross-institutional cooperation in driving scientific discovery.\\u003c/p\\u003e \\u003cp\\u003e \\u003c/p\\u003e \\u003cp\\u003e \\u003cdiv class=\\\"gridtable\\\"\\u003e\\u003ctable float=\\\"Yes\\\" id=\\\"Tab1\\\" border=\\\"1\\\"\\u003e \\u003ccaption language=\\\"En\\\"\\u003e \\u003cdiv class=\\\"CaptionNumber\\\"\\u003eTable 1\\u003c/div\\u003e \\u003cdiv class=\\\"CaptionContent\\\"\\u003e \\u003cp\\u003eTop 10 most productive organizations\\u003c/p\\u003e \\u003c/div\\u003e \\u003c/caption\\u003e \\u003ccolgroup cols=\\\"6\\\"\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c1\\\" colnum=\\\"1\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c2\\\" colnum=\\\"2\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c3\\\" colnum=\\\"3\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c4\\\" colnum=\\\"4\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c5\\\" colnum=\\\"5\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"char\\\" char=\\\".\\\" class=\\\"colspec\\\" colname=\\\"c6\\\" colnum=\\\"6\\\"\\u003e\\u003c/div\\u003e \\u003cthead\\u003e \\u003ctr\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003eRank\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eOrganizations\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eCountry\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003ePublications\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003eCitations\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003eTotal link strength\\u003c/p\\u003e \\u003c/th\\u003e \\u003c/tr\\u003e \\u003c/thead\\u003e \\u003ctbody\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e1\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eMcGill University\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eCanada\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e267\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e17819\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e152\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e2\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eIcahn School of Medicine at Mount Sinai\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eUSA\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e234\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e13964\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e128\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e3\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eHarvard Medical School\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eUSA\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e223\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e6905\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e220\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e4\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eColumbia University\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eUSA\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e210\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e14126\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e163\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e5\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eJohns Hopkins University\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eUSA\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e197\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e14872\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e120\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e6\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eEmory University\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eUSA\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e193\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e10263\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e131\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e7\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eUniversity of Toronto\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eCanada\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e191\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e7712\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e73\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e8\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eHarvard University\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eUSA\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e185\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e18188\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e134\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e9\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eKing's College London\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eUSA\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e185\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e12303\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e116\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e10\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eUniversity of Illinois\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eUSA\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e180\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e8807\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"char\\\" char=\\\".\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e43\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003c/tbody\\u003e \\u003c/colgroup\\u003e \\u003c/table\\u003e\\u003c/div\\u003e \\u003c/p\\u003e \\u003c/div\\u003e\\n\\u003ch3\\u003eJournals and cited journals\\u003c/h3\\u003e\\n\\u003cp\\u003eThe expansive dataset, comprising 12,964 documents centered on the topic of epigenetic modifications in neurology, points to a robust and multi-faceted body of research within this scientific area. Disseminated across an astounding 32,936 journals over the last two decades, these documents highlight the widespread academic interest and the critical importance of epigenetics in neurological studies.\\u003c/p\\u003e \\u003cp\\u003eTable\\u0026nbsp;\\u003cspan refid=\\\"Tab2\\\" class=\\\"InternalRef\\\"\\u003e2\\u003c/span\\u003e outlines the journals with the most substantial contributions to the field of epigenetic modifications in neurology, measuring both their publication output and their impact via citations.\\u003c/p\\u003e \\u003cp\\u003eNature is identified as the most prolific, with 33,765 records and an impressive impact factor of 64.8. P Natl Acad Aci Usa follows with 30,592 records, asserting its significance with a strong impact factor and citation count. J Neurosci and Science are also leading journals in publication volume, demonstrating their crucial roles in disseminating new research findings. Additionally, Cell stands out, not just for its publication count, but also for its high citation impact, indicating the pivotal research findings it publishes are extensively referenced in subsequent studies.\\u003c/p\\u003e \\u003cp\\u003eThe data reflects the importance of these journals in advancing the scientific community's knowledge of neurological epigenetics, with high quality research that garners significant attention. The variety among the journals \\u0026mdash; from the broad, multidisciplinary coverage of Nature and Science to the more specialized focus of J Neurosci \\u0026mdash; showcases a dynamic field with diverse research avenues and high scholarly engagement.\\u003c/p\\u003e \\u003cp\\u003e \\u003cdiv class=\\\"gridtable\\\"\\u003e\\u003ctable float=\\\"Yes\\\" id=\\\"Tab2\\\" border=\\\"1\\\"\\u003e \\u003ccaption language=\\\"En\\\"\\u003e \\u003cdiv class=\\\"CaptionNumber\\\"\\u003eTable 2\\u003c/div\\u003e \\u003cdiv class=\\\"CaptionContent\\\"\\u003e \\u003cp\\u003eTop 10 prolific journals and cited journals.\\u003c/p\\u003e \\u003c/div\\u003e \\u003c/caption\\u003e \\u003ccolgroup cols=\\\"10\\\"\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c1\\\" colnum=\\\"1\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c2\\\" colnum=\\\"2\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c3\\\" colnum=\\\"3\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c4\\\" colnum=\\\"4\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c5\\\" colnum=\\\"5\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c6\\\" colnum=\\\"6\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c7\\\" colnum=\\\"7\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c8\\\" colnum=\\\"8\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c9\\\" colnum=\\\"9\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c10\\\" colnum=\\\"10\\\"\\u003e\\u003c/div\\u003e \\u003cthead\\u003e \\u003ctr\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c1\\\"\\u003e\\u0026nbsp;\\u003c/th\\u003e \\u003cth align=\\\"left\\\" colspan=\\\"5\\\" nameend=\\\"c6\\\" namest=\\\"c2\\\"\\u003e \\u003cp\\u003eProlific journals\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colspan=\\\"4\\\" nameend=\\\"c10\\\" namest=\\\"c7\\\"\\u003e \\u003cp\\u003eCited journals\\u003c/p\\u003e \\u003c/th\\u003e \\u003c/tr\\u003e \\u003c/thead\\u003e \\u003ctbody\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003eRank\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eJournals\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eRecords\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\" nameend=\\\"c5\\\" namest=\\\"c4\\\"\\u003e \\u003cp\\u003e2023\\u003c/p\\u003e \\u003cp\\u003eimpact factor\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e2023\\u003c/p\\u003e \\u003cp\\u003eJCR partition\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c7\\\"\\u003e \\u003cp\\u003eJournals\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c8\\\"\\u003e \\u003cp\\u003eCitations\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e \\u003cp\\u003e2023\\u003c/p\\u003e \\u003cp\\u003eimpact factor\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e \\u003cp\\u003e2023\\u003c/p\\u003e \\u003cp\\u003eJCR partition\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e1\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eNature\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e33765\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\" nameend=\\\"c5\\\" namest=\\\"c4\\\"\\u003e \\u003cp\\u003e4.0\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003eQ1\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c7\\\"\\u003e \\u003cp\\u003eNature\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c8\\\"\\u003e \\u003cp\\u003e16431\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e \\u003cp\\u003e64.8\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e \\u003cp\\u003eQ1\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e2\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eP Natl Acad Aci Usa\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e30592\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\" nameend=\\\"c5\\\" namest=\\\"c4\\\"\\u003e \\u003cp\\u003e12.7\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003eQ1\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c7\\\"\\u003e \\u003cp\\u003eP Natl Acad Aci Usa\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c8\\\"\\u003e \\u003cp\\u003e14332\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e \\u003cp\\u003e11.1\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e \\u003cp\\u003eQ1\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e3\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eJ Neurosci\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\" nameend=\\\"c4\\\" namest=\\\"c3\\\"\\u003e \\u003cp\\u003e25614\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e7.1\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003eQ1\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c7\\\"\\u003e \\u003cp\\u003eNat Neurosci\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c8\\\"\\u003e \\u003cp\\u003e12246\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e \\u003cp\\u003e25.0\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e \\u003cp\\u003eQ1\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e4\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eScience\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e24229\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\" nameend=\\\"c5\\\" namest=\\\"c4\\\"\\u003e \\u003cp\\u003e4.8\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003eQ1\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c7\\\"\\u003e \\u003cp\\u003ePlos One\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c8\\\"\\u003e \\u003cp\\u003e11738\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e \\u003cp\\u003e3.7\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e \\u003cp\\u003eQ3\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e5\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eCell\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e22241\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\" nameend=\\\"c5\\\" namest=\\\"c4\\\"\\u003e \\u003cp\\u003e4.2\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003eQ1\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c7\\\"\\u003e \\u003cp\\u003eJ Neurosci\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c8\\\"\\u003e \\u003cp\\u003e11206\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e \\u003cp\\u003e5.3\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e \\u003cp\\u003eQ2\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e6\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003ePlos One\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e19626\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\" nameend=\\\"c5\\\" namest=\\\"c4\\\"\\u003e \\u003cp\\u003e6.1\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003eQ3\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c7\\\"\\u003e \\u003cp\\u003eCell\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c8\\\"\\u003e \\u003cp\\u003e8924\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e \\u003cp\\u003e64.5\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e \\u003cp\\u003eQ1\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e7\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eNat Neurosci\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e15417\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\" nameend=\\\"c5\\\" namest=\\\"c4\\\"\\u003e \\u003cp\\u003e3.2\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003eQ1\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c7\\\"\\u003e \\u003cp\\u003eNat Rev Neurosci\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c8\\\"\\u003e \\u003cp\\u003e8610\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e \\u003cp\\u003e34.7\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e \\u003cp\\u003eQ1\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e8\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eNeuron\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e14420\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\" nameend=\\\"c5\\\" namest=\\\"c4\\\"\\u003e \\u003cp\\u003e16.2\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003eQ1\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c7\\\"\\u003e \\u003cp\\u003eScience\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c8\\\"\\u003e \\u003cp\\u003e8382\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e \\u003cp\\u003e56.9\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e \\u003cp\\u003eQ1\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e9\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eJ Biol Chem\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e13475\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\" nameend=\\\"c5\\\" namest=\\\"c4\\\"\\u003e \\u003cp\\u003e4.8\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003eQ2\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c7\\\"\\u003e \\u003cp\\u003eMolecular Psychiatry\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c8\\\"\\u003e \\u003cp\\u003e7020\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e \\u003cp\\u003e11.0\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e \\u003cp\\u003eQ1\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e10\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eNat Genet\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e12426\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\" nameend=\\\"c5\\\" namest=\\\"c4\\\"\\u003e \\u003cp\\u003e30.8\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003eQ1\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c7\\\"\\u003e \\u003cp\\u003eEpigenetics\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c8\\\"\\u003e \\u003cp\\u003e6599\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c9\\\"\\u003e \\u003cp\\u003e3.7\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c10\\\"\\u003e \\u003cp\\u003eQ3\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003c/tbody\\u003e \\u003c/colgroup\\u003e \\u003c/table\\u003e\\u003c/div\\u003e \\u003c/p\\u003e\\n\\u003ch3\\u003eAuthors and co-authorship of authors\\u003c/h3\\u003e\\n\\u003cp\\u003eThe comprehensive analysis spanned an array of 12,964 articles, which were collectively contributed by a diverse cohort of 32,913 authors focusing on epigenetic modifications in neurology. Among this extensive assembly of scholars, J. Mill emerged as the foremost prolific author, having contributed to 81 articles. E.J. Nestler followed with contributions to 78 articles, while G. Turecki's research efforts resulted in 75 articles. S. Akbarian and M. Szyf also demonstrated significant academic productivity with contributions to 68 and 66 articles, respectively (Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig6\\\" class=\\\"InternalRef\\\"\\u003e6\\u003c/span\\u003eA). Additionally, Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig6\\\" class=\\\"InternalRef\\\"\\u003e6\\u003c/span\\u003eB elucidates the citation landscape, showcasing the top-tier authors whose work has resonated most within the academic community. E.J. Nestler stands at the apex with a commendable 3,057 citations. He is closely succeeded by J. Mill, whose work has accumulated 2,306 citations. M. Szyf, with 2,101 citations, S. Akbarian with 1,807 citations, and G. Turecki with 1,756 citations, round out the list of the top five most-cited authors in this domain.\\u003c/p\\u003e \\u003cp\\u003eThe \\u003cem\\u003eg\\u003c/em\\u003e-index serves as a nuanced indicator of an author's scholarly impact, considering the citation performance of their most cited papers and highlighting the depth and significance of their research contributions within the field. The bar graph provides an insightful representation of the \\u003cem\\u003eg\\u003c/em\\u003e-index for a selection of authors in the field of neurology with a focus on epigenetic modifications(Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig6\\\" class=\\\"InternalRef\\\"\\u003e6\\u003c/span\\u003eC). J. Mill stands at the forefront with a \\u003cem\\u003eg\\u003c/em\\u003e-index over 80, indicating a significant breadth of highly-cited publications. E.J. Nestler follows closely, with a \\u003cem\\u003eg\\u003c/em\\u003e-index that surpasses 80, reflecting a vast corpus of work that has garnered widespread citation. G. Turecki, S. Akbarian, and M. Szyf are also depicted with substantial \\u003cem\\u003eg\\u003c/em\\u003e-indices, signifying their impactful contributions to the scientific community. This metric suggests that their work is not only frequently cited but also that some of their publications are cited exceptionally often, demonstrating their influence in the research landscape. The \\u003cem\\u003eh\\u003c/em\\u003e-index chart presented in the visual material demonstrates the impact and productivity of various authors in the field of epigenetics in neurology. E.J. Nestler stands out with the highest \\u003cem\\u003eh\\u003c/em\\u003e-index, exceeding 50, indicative of a substantial influence through a significant body of highly cited work. J. Mill follows with an \\u003cem\\u003eh\\u003c/em\\u003e-index in the 40s, while M. Szyf, G. Turecki, and S. Akbarian show similarly impactful academic contributions, as reflected by their h-indices in the same range(Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig6\\\" class=\\\"InternalRef\\\"\\u003e6\\u003c/span\\u003eD). The \\u003cem\\u003em\\u003c/em\\u003e-index is a variation of the \\u003cem\\u003eh\\u003c/em\\u003e-index that accounts for the number of years an author has been actively publishing, offering a normalized indicator of impact over time. In the graph showcasing the \\u003cem\\u003em\\u003c/em\\u003e-index of various authors in neurology research related to epigenetic modifications, E.J. Nestler appears to lead with an \\u003cem\\u003em\\u003c/em\\u003e-index just over 3. This suggests a sustained and high impact of publications over the span of their career. J. Mill and S.M. Pfister are also represented with substantial \\u003cem\\u003em\\u003c/em\\u003e-indices, indicative of their consistent contribution to the field(Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig6\\\" class=\\\"InternalRef\\\"\\u003e6\\u003c/span\\u003eE).\\u003c/p\\u003e \\u003cp\\u003eAdditionally, the collaboration analysis focused on 51 authors who co-authored more than 20 publications. After excluding 13 unconnected items, the collaboration network revealed the interactions among 39 authors (Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig6\\\" class=\\\"InternalRef\\\"\\u003e6\\u003c/span\\u003eF). Among them, E.J. Nestler had the highest number of collaborations (75), followed by J. Mill (68), G. Turecki (63), S. Akbarian (59), and M. Szyf (57) (Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig6\\\" class=\\\"InternalRef\\\"\\u003e6\\u003c/span\\u003eF).\\u003c/p\\u003e \\u003cp\\u003e \\u003c/p\\u003e \\u003cp\\u003e \\u003cb\\u003eKeywords\\u003c/b\\u003e \\u003c/p\\u003e \\u003cp\\u003eA comprehensive analysis identified a total of 36,611 keywords, among which 200 appeared more than 100 times. Figure\\u0026nbsp;\\u003cspan refid=\\\"Fig7\\\" class=\\\"InternalRef\\\"\\u003e7\\u003c/span\\u003eA provides a visual representation of the top 50 prevalent keywords in the form of a word cloud. Notably, \\\"expression\\\" was the most recurrent keyword, succeeded by \\\"DNA methylation\\\", \\\"brain\\\", \\\"gene-expression\\\", and \\\"gene\\\". Figure\\u0026nbsp;\\u003cspan refid=\\\"Fig7\\\" class=\\\"InternalRef\\\"\\u003e7\\u003c/span\\u003eB illustrates a density visualization to depict the clustering of the identified keywords, with varying colors demarcating distinct clusters. Moreover, Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig7\\\" class=\\\"InternalRef\\\"\\u003e7\\u003c/span\\u003eC demonstrates an overlay visualization where the colors correspond to the frequency of keywords across the average publication year, with the majority of keywords appearing post-2019, as indicated by greener and yellower hues.\\u003c/p\\u003e \\u003cp\\u003e The statistical analysis underscored the significant association of a multitude of diseases and pathophysiological states with epigenetic modifications in neurological research. Table \\u003cspan refid=\\\"Tab3\\\" class=\\\"InternalRef\\\"\\u003e3\\u003c/span\\u003e enumerates the top 10 diseases and pathophysiological states linked to epigenetic research in neurology. Prominently, Alzheimer's disease, cancer, and schizophrenia were identified as the diseases most relevant to epigenetic studies in neurology. Furthermore, in terms of pathological mechanisms, DNA methylation, epigenetic regulation, oxidative stress, synaptic plasticity, and transcription were the most extensively explored facets in the field of neurological epigenetic modifications.\\u003c/p\\u003e \\u003cp\\u003e \\u003c/p\\u003e \\u003cp\\u003e \\u003cdiv class=\\\"gridtable\\\"\\u003e\\u003ctable float=\\\"Yes\\\" id=\\\"Tab3\\\" border=\\\"1\\\"\\u003e \\u003ccaption language=\\\"En\\\"\\u003e \\u003cdiv class=\\\"CaptionNumber\\\"\\u003eTable 3\\u003c/div\\u003e \\u003cdiv class=\\\"CaptionContent\\\"\\u003e \\u003cp\\u003eTop 10 diseases and pathologies involved in research of epigenetic modifications in neurology\\u003c/p\\u003e \\u003c/div\\u003e \\u003c/caption\\u003e \\u003ccolgroup cols=\\\"5\\\"\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c1\\\" colnum=\\\"1\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c2\\\" colnum=\\\"2\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c3\\\" colnum=\\\"3\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c4\\\" colnum=\\\"4\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c5\\\" colnum=\\\"5\\\"\\u003e\\u003c/div\\u003e \\u003cthead\\u003e \\u003ctr\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003eRank\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eDisease\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eOccurrence\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003ePathophysiology\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003eOccurrence\\u003c/p\\u003e \\u003c/th\\u003e \\u003c/tr\\u003e \\u003c/thead\\u003e \\u003ctbody\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e1\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eAlzheimer\\u0026rsquo;s disease\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e671\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003eDNA methylation\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e2117\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e2\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eCancer\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e486\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003eEpigenetic regulation\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e707\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e3\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eSchizophrenia\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e364\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003eOxidative stress\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e542\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e4\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eBipolar disorder\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e240\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003eSynaptic plasticity\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e497\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e5\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eRett's disorder\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e239\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003eTranscription\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e467\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e6\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eParkinson disease\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e222\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003eMutations\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e374\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e7\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003ePrenatal stress\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e140\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003eGenome-wide association\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e290\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e8\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003ePosttraumatic Stress disorder\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e124\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003eHistone acetylation\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e239\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e9\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eHuntington disease\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e122\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003eHypermethylation\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e152\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e10\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eTumors\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e116\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003eHistone modifications\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e150\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003c/tbody\\u003e \\u003c/colgroup\\u003e \\u003c/table\\u003e\\u003c/div\\u003e \\u003c/p\\u003e \\u003cdiv id=\\\"Sec11\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eCitation and Co-Citation\\u003c/h2\\u003e \\u003cp\\u003eA citation analysis identified that, after excluding 41 non-topic related items, 81 documents were cited over 500 times (Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig8\\\" class=\\\"InternalRef\\\"\\u003e8\\u003c/span\\u003eA). Scrutinizing the frequency of citations, the top ten most-cited documents were discerned and are delineated in Table\\u0026nbsp;\\u003cspan refid=\\\"Tab4\\\" class=\\\"InternalRef\\\"\\u003e4\\u003c/span\\u003e. Citations spanned from 248 to 591. Notably, \\\"Epigenetic regulation of the glucocorticoid receptor in human brain associates with childhood abuse,\\\" authored by P. O. McGowan et al., in 2009, procured the pinnacle of citations at 591 in Nature Neuroscience. The subsequent ranking article, \\\"Global epigenomic reconfiguration during mammalian brain development\\\" by R. Lister et al., in 2013, amassed 458 citations. The third in rank, \\\"The nuclear DNA base 5-hydroxymethylcytosine is present in Purkinje neurons and the brain,\\\" by S. Kriaucionis et al., in 2009, garnered 426 citations.\\u003c/p\\u003e \\u003cp\\u003eTo further delineate the core references, a supplementary co-citation analysis was conducted on 70 references that exceeded the 200 citation threshold (Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig8\\\" class=\\\"InternalRef\\\"\\u003e8\\u003c/span\\u003eB). Table\\u0026nbsp;\\u003cspan refid=\\\"Tab5\\\" class=\\\"InternalRef\\\"\\u003e5\\u003c/span\\u003e enumerates the ten preeminent references, with the quintet of most-cited works being I. C. Weaver's 2004 piece in Nature Neuroscience, cited 817 times; P. O. McGowan's 2009 work, also in Nature Neuroscience, with 591 citations; T. Kouzarides's 2007 article in Cell with 480 citations; R. Lister's 2013 publication in Science with 458 citations; and M. Tahiliani's 2009 article in Science, cited 435 times.\\u003c/p\\u003e \\u003cp\\u003e \\u003c/p\\u003e \\u003cp\\u003e \\u003cdiv class=\\\"gridtable\\\"\\u003e\\u003ctable float=\\\"Yes\\\" id=\\\"Tab4\\\" border=\\\"1\\\"\\u003e \\u003ccaption language=\\\"En\\\"\\u003e \\u003cdiv class=\\\"CaptionNumber\\\"\\u003eTable 4\\u003c/div\\u003e \\u003cdiv class=\\\"CaptionContent\\\"\\u003e \\u003cp\\u003eTop 10 highly citation analysis of publications in research of epigenetic modifications in neurology\\u003c/p\\u003e \\u003c/div\\u003e \\u003c/caption\\u003e \\u003ccolgroup cols=\\\"6\\\"\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c1\\\" colnum=\\\"1\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c2\\\" colnum=\\\"2\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c3\\\" colnum=\\\"3\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c4\\\" colnum=\\\"4\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c5\\\" colnum=\\\"5\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c6\\\" colnum=\\\"6\\\"\\u003e\\u003c/div\\u003e \\u003cthead\\u003e \\u003ctr\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003eRank\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eTitle\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eFirst author\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003eJournals\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003ePublication year\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003eTotal citations\\u003c/p\\u003e \\u003c/th\\u003e \\u003c/tr\\u003e \\u003c/thead\\u003e \\u003ctbody\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e1\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eEpigenetic regulation of the glucocorticoid receptor in human brain associates with childhood abuse\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eP. O. McGowan\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e\\u003cem\\u003eNat Neurosci\\u003c/em\\u003e\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e2009\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e591\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e2\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eGlobal epigenomic reconfiguration during mammalian brain development\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eR. Lister\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e\\u003cem\\u003eScience\\u003c/em\\u003e\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e2013\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e458\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e3\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eThe nuclear DNA base 5-hydroxymethylcytosine is present in Purkinje neurons and the brain\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eS. Kriaucionis\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e\\u003cem\\u003eScience\\u003c/em\\u003e\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e2009\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e426\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e4\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eEpigenetic regulation in psychiatric disorders\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eN. Tsankova\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e\\u003cem\\u003eNat Rev Neurosci\\u003c/em\\u003e\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e2007\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e355\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e5\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eLasting epigenetic influence of early-life adversity on the BDNF gene\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eT. L. Roth\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e\\u003cem\\u003eBiol Psychiatry\\u003c/em\\u003e\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e2009\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e340\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e6\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eEpigenetic regulation of BDNF gene transcription in the consolidation of fear memory\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eF. D. Lubin\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e\\u003cem\\u003eJ Neurosci\\u003c/em\\u003e\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e2008\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e318\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e7\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eDynamic DNA methylation programs persistent adverse effects of early-life stress\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eClavaguera F\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e\\u003cem\\u003eNat Cell Biol\\u003c/em\\u003e\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e2009\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e282\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e8\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eDynamic DNA methylation programs persistent adverse effects of early-life stress\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eC. Murgatroyd\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e\\u003cem\\u003eNat Neurosci\\u003c/em\\u003e\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e2009\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e266\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e9\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003e5-hmC-mediated epigenetic dynamics during postnatal neurodevelopment and aging\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eK. E. Szulwach\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e\\u003cem\\u003eNat Neurosci\\u003c/em\\u003e\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e2011\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e256\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e10\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eHydroxylation of 5-methylcytosine by TET1 promotes active DNA demethylation in the adult brain\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eJ. U. Guo\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e\\u003cem\\u003eCell\\u003c/em\\u003e\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e2011\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e248\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003c/tbody\\u003e \\u003c/colgroup\\u003e \\u003c/table\\u003e\\u003c/div\\u003e \\u003c/p\\u003e \\u003cp\\u003e \\u003cdiv class=\\\"gridtable\\\"\\u003e\\u003ctable float=\\\"Yes\\\" id=\\\"Tab5\\\" border=\\\"1\\\"\\u003e \\u003ccaption language=\\\"En\\\"\\u003e \\u003cdiv class=\\\"CaptionNumber\\\"\\u003eTable 5\\u003c/div\\u003e \\u003cdiv class=\\\"CaptionContent\\\"\\u003e \\u003cp\\u003eTop 10 highly co-citation analysis of publications in research of epigenetic modifications in neurology\\u003c/p\\u003e \\u003c/div\\u003e \\u003c/caption\\u003e \\u003ccolgroup cols=\\\"6\\\"\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c1\\\" colnum=\\\"1\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c2\\\" colnum=\\\"2\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c3\\\" colnum=\\\"3\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c4\\\" colnum=\\\"4\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c5\\\" colnum=\\\"5\\\"\\u003e\\u003c/div\\u003e \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c6\\\" colnum=\\\"6\\\"\\u003e\\u003c/div\\u003e \\u003cthead\\u003e \\u003ctr\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003eRank\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eTitle\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eFirst author\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003eJournals\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003ePublication year\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003eTotal citations\\u003c/p\\u003e \\u003c/th\\u003e \\u003c/tr\\u003e \\u003c/thead\\u003e \\u003ctbody\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e1\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eEpigenetic programming by maternal behavior\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eI. C. Weaver\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e\\u003cem\\u003eNat Neurosci\\u003c/em\\u003e\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e2004\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e817\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e2\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eEpigenetic regulation of the glucocorticoid receptor in human brain associates with childhood abuse\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eP. O. McGowan\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e\\u003cem\\u003eNat Neurosci\\u003c/em\\u003e\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e2009\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e591\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e3\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eChromatin modifications and their function\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eT. Kouzarides\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e\\u003cem\\u003eCell\\u003c/em\\u003e\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e2007\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e480\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e4\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eGlobal epigenomic reconfiguration during mammalian brain development\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eR. Lister\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e\\u003cem\\u003eScience\\u003c/em\\u003e\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e2013\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e458\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e5\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eConversion of 5-methylcytosine to 5-hydroxymethylcytosine in mammalian DNA by MLL partner TET1\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eM. Tahiliani\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e\\u003cem\\u003eScience\\u003c/em\\u003e\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e2009\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e435\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e6\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eEpigenetic regulation of gene expression: how the genome integrates intrinsic and environmental signals\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eR. Jaenisch\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e\\u003cem\\u003eNat Genet\\u003c/em\\u003e\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e2003\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e428\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e7\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eHDAC2 negatively regulates memory formation and synaptic plasticity\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eJ. S. Guan\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e\\u003cem\\u003eNature\\u003c/em\\u003e\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e2009\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e426\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e8\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eThe nuclear DNA base 5-hydroxymethylcytosine is present in Purkinje neurons and the brain\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eS. Kriaucionis\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e\\u003cem\\u003eScience\\u003c/em\\u003e\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e2009\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e425\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e9\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eRett syndrome is caused by mutations in X-linked MECP2, encoding methyl-CpG-binding protein 2\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eR. E. Amir\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e\\u003cem\\u003eNat Genet\\u003c/em\\u003e\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e1999\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e404\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003e10\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eSustained hippocampal chromatin regulation in a mouse model of depression and antidepressant action\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eN. M. Tsankova\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e\\u003cem\\u003eNat Neurosci\\u003c/em\\u003e\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e2006\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e392\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003c/tbody\\u003e \\u003c/colgroup\\u003e \\u003c/table\\u003e\\u003c/div\\u003e \\u003c/p\\u003e \\u003c/div\\u003e\"},{\"header\":\"Discussion\",\"content\":\"\\u003cdiv id=\\\"Sec13\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eThe Present Situation In Research Of Epigenetic Modifications In Neurology\\u003c/h2\\u003e \\u003cp\\u003eTo our knowledge, this study represents the inaugural bibliometric analysis specifically focused on epigenetic modifications within the field of neurology. By meticulously examining 12,964 publications indexed in the WoSCC, this study has crafted a detailed portrait of the global hotspots and evolving trends that have characterized the intersection of neurology and epigenetics research over the course of the past twenty years. This investigation highlights the remarkable global research efforts that have contributed to the current understanding of neurological epigenetics.\\u003c/p\\u003e \\u003cp\\u003eOur analysis has unveiled a marked escalation in the volume of publications since 2004, indicative of the burgeoning interest in the realm of epigenetic modifications within neurology. The United States and McGill University stand out as the most prominent country and institution, respectively. Nature emerges as the leading journal, boasting the highest number of publications and citations. J. Mill has established himself as the most prodigious author, while E.J. Nestler holds the distinction of being the most cited author in the field.\\u003c/p\\u003e \\u003cp\\u003eThe analysis through the bibliometrix website revealed that the five most frequently occurring keywords are \\\"expression,\\\" \\\"DNA methylation,\\\" \\\"brain,\\\" \\\"gene-expression,\\\" and \\\"gene,\\\" as shown by a comprehensive keyword analysis. Due to the software detecting inaccuracies in the keyword analysis, we conducted a further manual analysis of the frequently occurring keywords. We found that key research interests in neurology, with Alzheimer's disease, cancer, and schizophrenia being the most studied diseases in the context of epigenetics. DNA methylation, oxidative stress, and synaptic plasticity are predominant pathophysiological processes scrutinized in conjunction with epigenetic alterations in neurological research. Combining the reference literature analysis results, we discerned that the glucocorticoid receptors in neuroepigenetics, hydroxymethylcytosine in neural DNA, epigenetic patterns in mental health, alongside BDNF gene and memory consolidation are the focal research themes within the realm of epigenetics in neurology. Thus, our findings illuminate key hot spots and emerging trends within epigenetic research in neurology, potentially guiding more targeted and profound investigations in this domain.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec14\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eFuture Prospect\\u003c/h2\\u003e \\u003cp\\u003eOur analysis, visualized through co-occurrence network maps clustered by topic area or publication date, revealed the current hot topics and potential future directions in the field of neurology epigenetics research. Combining the results from our analysis, we identified key focal research themes in the field of neurology epigenetics, including glucocorticoid receptors in neuroepigenetics, hydroxymethylcytosine in neural DNA, epigenetic patterns in mental health, and the epigenetic regulation of the BDNF gene and memory consolidation. The latest themes that indicate future trends in this field are as follows.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec15\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eGlucocorticoid Receptors in Neuroepigenetics\\u003c/h2\\u003e \\u003cp\\u003eGlucocorticoid receptors (GRs) function as intricate transcription factors that respond to fluctuating levels of glucocorticoids in the body, hormones critical for maintaining homeostasis, particularly during stress. The GRs engage in a diverse array of interactions within the cellular environment, playing a central role in the stress response and affecting a range of neurological functions [5]. This detailed interaction occurs at both the histone and DNA levels, where GRs influence and are influenced by epigenetic modifications.\\u003c/p\\u003e \\u003cp\\u003eRecent findings indicate that GRs actively participate in the epigenetic regulation by modifying chromatin structure, thereby modulating gene expression responsive to environmental cues [6]. This epigenetic regulation occurs through interactions with a spectrum of molecules, including histone-modifying enzymes, DNA-modifying enzymes, and noncoding RNAs, each of which can alter the epigenetic landscape and influence GR function in return [7]. Histone modifications, such as methylation and acetylation, have been observed to change following GR activation, which in turn affects transcriptional outcomes. GRs interact with histone acetyltransferases (HATs) like GRIP1, which recruits additional transcriptional coactivators, and with histone methyltransferases (HMTs) like G9a, which can function as a coactivator rather than a repressor when associated with GR [8, 9].\\u003c/p\\u003e \\u003cp\\u003eFurthermore, DNA methylation patterns are also affected by GRs. The ligand-bound GRs can alter the expression of DNA methyltransferases (DNMTs), influencing the methylation status of GR target genes. For instance, the interaction of GR with DNMTs can lead to changes in gene expression that could persist over time, potentially even across generations, emphasizing the role of GRs in the long-term programming of biological responses [10]. The study by Bartlett et al. emphasizes the dynamic relationship between GRs and noncoding RNAs (ncRNAs), such as the ncRNA Gas5, which can act as a \\\"decoy\\\" to modulate GR activity and subsequent gene expression [11]. These interactions between GRs and ncRNAs suggest a novel layer of complexity in the regulation of gene networks by glucocorticoids.\\u003c/p\\u003e \\u003cp\\u003eCollectively, these mechanisms represent a bidirectional communication between the GRs and the epigenetic landscape, highlighting the role of GR in transducing environmental signals into specific cellular responses. These responses are not only crucial in the context of stress and adaptation but also have far-reaching implications for our understanding of neurodevelopmental, psychiatric, and neurodegenerative disorders.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec16\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eHydroxymethylcytosine in Neural DNA\\u003c/h2\\u003e \\u003cp\\u003eHydroxymethylcytosine (5-hmC), once thought to be a rare DNA modification, has emerged as a critical epigenetic marker in neural DNA, particularly within the mammalian brain [12]. Found predominantly in neuronal cells, 5-hmC plays a pivotal role in brain development and neuroplasticity. Research into this modification has revealed that it is not merely an intermediate in DNA demethylation, as once assumed, but a stable epigenetic mark that actively participates in the regulation of gene expression [13].\\u003c/p\\u003e \\u003cp\\u003eThe significance of 5-hmC is underscored by its enrichment in the brain, where it is implicated in the regulation of gene transcription critical for neuronal differentiation and synaptic function. Studies have demonstrated that 5-hmC levels change during brain development and in response to neuronal activity, indicating its role in dynamic epigenetic regulation [14]. The enzymes responsible for depositing 5-hmC, the Ten-Eleven Translocation (TET) family of dioxygenases, have been extensively studied for their role in modulating this epigenetic mark.\\u003c/p\\u003e \\u003cp\\u003eEmerging research suggests that aberrations in the levels of 5-hmC or in the activity of TET enzymes are associated with neurological disorders such as Alzheimer's disease, schizophrenia, and Rett syndrome[15, 16]. This has led to a surge in studies exploring 5-hmC as a potential biomarker for neurodevelopmental and neurodegenerative diseases, as well as a target for therapeutic interventions. For instance, manipulating TET enzyme activity could potentially alter aberrant 5-hmC marking in diseased states, offering a new avenue for treatment strategies.\\u003c/p\\u003e \\u003cp\\u003eRecent advancements in high-throughput sequencing and CRISPR/Cas9 technology have facilitated in-depth studies of 5-hmC's distribution and function [17, 18]. These technologies enable the precise mapping of 5-hmC within the genome and the targeted manipulation of TET enzymes, providing insights into the direct functional consequences of this epigenetic mark on neural gene expression.\\u003c/p\\u003e \\u003cp\\u003eThe study of 5-hmC in neural DNA is a rapidly evolving field that promises to deepen our understanding of the epigenetic complexity of the brain. By elucidating the mechanisms through which 5-hmC contributes to neurodevelopment and neural function, researchers are paving the way for innovative approaches to diagnose and treat neurological conditions.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec17\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eEpigenetic Patterns in Mental Health\\u003c/h2\\u003e \\u003cp\\u003eThe elucidation of epigenetic patterns in mental health has opened new avenues for understanding how genetics and the environment interact to shape mental health outcomes. Epigenetic mechanisms such as DNA methylation (DNAm)have been identified as central players in a range of psychiatric conditions, acting both specifically and transdiagnostically across various disorders [19]. These mechanisms, when dysregulated, are central to the vulnerability, manifestation, and trajectory of mental health disorders, providing potential biomarkers for early identification and intervention.\\u003c/p\\u003e \\u003cp\\u003eStudies have linked chromatin-based processes, influenced by neuronal activity, to persistent changes in neural circuit activity and behavior, such as in substance use disorder. Furthermore, the serotoninergic and dopaminergic pathways, among others, have been implicated in psychiatric diseases, with DNAm modifications serving as key indicators of these pathways' dysfunctions. For example, alterations in the serotonin transporter genes have shown increased methylation in depression, indicating a possible epigenetic basis for the disorder [20].\\u003c/p\\u003e \\u003cp\\u003eResearch has also shown that the epigenome acts at the interface of the environment and the genome, being manipulated by neuronal circuit activity to coordinate gene expression that supports neural plasticity[21, 22]. Activity-dependent gene expression requires dynamic chromatin changes, with histone modifications such as acetylation and methylation regulating gene expression in response to experiences. These findings are pivotal as they suggest that certain epigenetic marks have long-lasting effects on gene expression that extend beyond the initial neural stimulation.\\u003c/p\\u003e \\u003cp\\u003eThe direction of the associations between DNAm, mental health disorders, and clinical or biological outcomes has been summarized, pointing to the mediation analyses that clarify how DNAm modifications can mediate the effects of environmental exposures, like childhood adversity, on depressive symptoms [22, 23]. These revelations underscore the importance of epigenetic regulation in learning and memory, and its potential impact across clinical research on memory-related disorders. Advancements in our understanding of chromatin-based mechanisms in memory are anticipated to have wide-ranging implications in molecular neuroscience and clinical research, furthering the potential for developing targeted therapies for memory-related disorders.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec18\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eEpigenetic regulation of BDNF gene and Memory Consolidation\\u003c/h2\\u003e \\u003cp\\u003eThe Brain-Derived Neurotrophic Factor (BDNF) gene is integral to the process of memory consolidation, acting as a modulator of synaptic plasticity and neuronal resilience. The epigenetic regulation of BDNF represents a crucial interface where genetic predisposition meets environmental influence, resulting in varied expressions of BDNF that have profound effects on cognitive function [24, 25].\\u003c/p\\u003e \\u003cp\\u003eMemory consolidation, the process by which temporary, labile memories are converted into stable, long-term memories, heavily relies on the proper functioning of BDNF [26]. BDNF facilitates the strengthening of synapses, particularly in the hippocampus, a brain region essential for learning and memory. Recent research has delved into the complexities of how epigenetic mechanisms control BDNF expression and, by extension, affect memory consolidation.\\u003c/p\\u003e \\u003cp\\u003eEpigenetic modifications\\u0026mdash;including DNA methylation, histone acetylation, and RNA-associated silencing\\u0026mdash;play pivotal roles in the regulation of BDNF. These modifications can change in response to external stimuli such as stress, learning activities, or environmental enrichment, thereby influencing BDNF levels. For example, an increase in histone acetylation at the BDNF gene promoter is associated with enhanced expression, promoting neural plasticity and stronger memory consolidation [27]. Emerging studies have utilized advanced epigenetic editing tools to demonstrate how targeted manipulation of epigenetic markers at the BDNF locus can modify memory outcomes. This approach has highlighted the potential for developing epigenetic therapies aimed at improving learning and memory, which could be particularly beneficial in cognitive disorders where BDNF expression is compromised.\\u003c/p\\u003e \\u003cp\\u003eFurthermore, research has indicated that disruptions in the epigenetic regulation of BDNF are linked to several neurodegenerative and psychiatric disorders, including Alzheimer's disease and depression, both of which involve memory impairments [28, 29]. This connection underscores the therapeutic potential of targeting BDNF epigenetic regulation to ameliorate memory deficits in these conditions.\\u003c/p\\u003e \\u003cp\\u003eContinuous advances in high-throughput epigenetic profiling and genome-editing technologies offer promising prospects for more detailed explorations into the epigenetic mechanisms underlying BDNF regulation. These technologies not only allow for the precise mapping of epigenetic changes across different stages of memory consolidation but also provide tools for potentially reversing detrimental epigenetic modifications associated with memory loss.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec19\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003eStrengths and Limitations\\u003c/h2\\u003e \\u003cp\\u003eIn this bibliometric analysis, we employed network visualizations to scrutinize global publications on epigenetic modifications in neurology, utilizing the R bibliometrix package along with VOSviewer for network construction and visualization. However, this approach has its constraints. The analysis was mainly limited to the WoSCC, potentially excluding relevant publications from other databases such as PubMed and Scopus. Despite this, WoSCC is a prevalent choice for publication analysis in scientometric studies due to its broad coverage of journal formats. Additionally, while our study did not set out to limit by language, only English language studies were reviewed, which might introduce a selection bias, considering that WoSCC primarily provides English abstracts. Furthermore, there's a possibility that some significant works have not been duly recognized by citation count, even if they are from reputed journals.\\u003c/p\\u003e \\u003c/div\\u003e\"},{\"header\":\"Conclusion\",\"content\":\"\\u003cp\\u003eIn this comprehensive bibliometric review of 12,964 publications from the Web of Science Core Collection, we present a nuanced analysis of the dynamic progression in neurology's epigenetic research. The notable increase in scholarly attention since 2004 signals a burgeoning interest in epigenetic mechanisms within neurology. The United States, with McGill University at the forefront, leads in research output, indicating a geographic and institutional concentration of expertise in this area. The journal Nature stands preeminent, reflecting the highest volume of influential publications and citations. In the realm of authorship, J. Mill's extensive contributions and E.J. Nestler's significant citation impact mark them as leading voices in the field. Discrepancies revealed through bibliometrix software prompted a manual reevaluation of keyword prevalence, further confirming that Alzheimer's disease, cancer, and schizophrenia remain focal diseases in epigenetic neurology studies. Core pathophysiological processes such as DNA methylation, oxidative stress, and synaptic plasticity are intricately examined for their roles in neurological epigenetic alterations. Our meticulous synthesis delineates critical research trajectories and underscores the vibrant, emerging trends in epigenetic research in neurology, offering a scaffold for future targeted investigations and potentially transformative insights into neurological disorders.\\u003c/p\\u003e\"},{\"header\":\"Declarations\",\"content\":\"\\u003cp\\u003e\\u003cstrong\\u003eAuthor Contributions\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eXSY contributed to conceptualization. XSY and ZSY contributed to data collection and data analysis. XSY, ZXY, and ZCL contributed to writing the paper and revise the paper. ZCL prepared the figures. PYJ and XM contributed to fundraise, provide administrative and material support, and supervise the study. All authors approved the final version of this paper.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eFunding declaration\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eThis work was supported by the Applied Basic Research(Medical and Health) Science and Technology Innovation(SYW2024156), and Doctoral Research Initiation Fund Project(2024BSJJ04).\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eConflict Of Interest Statement\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eThe authors declare no competing interests.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eData Availability Statement\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eThe original contributions presented in the study are included in the article material, and further inquiries are available by contacting the corresponding/first authors.\\u003c/p\\u003e\"},{\"header\":\"References\",\"content\":\"\\u003col\\u003e\\n\\u003cli\\u003eGoldberg AD, Allis CD, Bernstein E. Epigenetics: a landscape takes shape. Cell. 2007;128(4):635-8.\\u003c/li\\u003e\\n\\u003cli\\u003eAllis CD, Jenuwein T. The molecular hallmarks of epigenetic control. Nat Rev Genet. 2016;17(8):487-500.\\u003c/li\\u003e\\n\\u003cli\\u003eBerry KP, Lu QR. Chromatin modification and epigenetic control in functional nerve regeneration. Semin Cell Dev Biol. 2020;97:74-83.\\u003c/li\\u003e\\n\\u003cli\\u003eCheng Y, Song H, Ming GL, Weng YL. Epigenetic and epitranscriptomic regulation of axon regeneration. Mol Psychiatry. 2023;28(4):1440-50.\\u003c/li\\u003e\\n\\u003cli\\u003eBartlett AA, Lapp HE, Hunter RG. Epigenetic Mechanisms of the Glucocorticoid Receptor. Trends Endocrinol Metab. 2019;30(11):807-18.\\u003c/li\\u003e\\n\\u003cli\\u003eWiley JW, Higgins GA, Athey BD. Stress and glucocorticoid receptor transcriptional programming in time and space: Implications for the brain-gut axis. Neurogastroenterol Motil. 2016;28(1):12-25.\\u003c/li\\u003e\\n\\u003cli\\u003eMourtzi N, Sertedaki A, Charmandari E. Glucocorticoid Signaling and Epigenetic Alterations in Stress-Related Disorders. Int J Mol Sci. 2021;22(11).\\u003c/li\\u003e\\n\\u003cli\\u003eKang SW, Madkour M, Kuenzel WJ. Tissue-Specific Expression of DNA Methyltransferases Involved in Early-Life Nutritional Stress of Chicken, Gallus gallus. Front Genet. 2017;8:204.\\u003c/li\\u003e\\n\\u003cli\\u003eBittencourt D, Wu DY, Jeong KW, Gerke DS, Herviou L, Ianculescu I, et al. G9a functions as a molecular scaffold for assembly of transcriptional coactivators on a subset of glucocorticoid receptor target genes. Proc Natl Acad Sci U S A. 2012;109(48):19673-8.\\u003c/li\\u003e\\n\\u003cli\\u003eKawakami-Mori F, Nishimoto M, Reheman L, Kawarazaki W, Ayuzawa N, Ueda K, et al. Aberrant DNA methylation of hypothalamic angiotensin receptor in prenatal programmed hypertension. JCI Insight. 2018;3(21).\\u003c/li\\u003e\\n\\u003cli\\u003eBartlett AA, Hunter RG. Transposons, stress and the functions of the deep genome. Front Neuroendocrinol. 2018;49:170-4.\\u003c/li\\u003e\\n\\u003cli\\u003eZhuang Y, Chen J, Xu W, Shu Q, Li X. The Detection of 5-Hydroxymethylcytosine in Neural Stem Cells and Brains of Mice. J Vis Exp. 2019(151).\\u003c/li\\u003e\\n\\u003cli\\u003eGuo JU, Su Y, Zhong C, Ming GL, Song H. Hydroxylation of 5-methylcytosine by TET1 promotes active DNA demethylation in the adult brain. Cell. 2011;145(3):423-34.\\u003c/li\\u003e\\n\\u003cli\\u003eSzulwach KE, Li X, Li Y, Song CX, Wu H, Dai Q, et al. 5-hmC-mediated epigenetic dynamics during postnatal neurodevelopment and aging. Nat Neurosci. 2011;14(12):1607-16.\\u003c/li\\u003e\\n\\u003cli\\u003eBuch ER, Claudino L, Quentin R, Bonstrup M, Cohen LG. Consolidation of human skill linked to waking hippocampo-neocortical replay. Cell Rep. 2021;35(10):109193.\\u003c/li\\u003e\\n\\u003cli\\u003eEllison EM, Bradley-Whitman MA, Lovell MA. Single-Base Resolution Mapping of 5-Hydroxymethylcytosine Modifications in Hippocampus of Alzheimer\\u0026apos;s Disease Subjects. J Mol Neurosci. 2017;63(2):185-97.\\u003c/li\\u003e\\n\\u003cli\\u003eHuang W, Campbell T, Carbone MA, Jones WE, Unselt D, Anholt RRH, et al. Context-dependent genetic architecture of Drosophila life span. PLoS Biol. 2020;18(3):e3000645.\\u003c/li\\u003e\\n\\u003cli\\u003eGreco CM, Kunderfranco P, Rubino M, Larcher V, Carullo P, Anselmo A, et al. DNA hydroxymethylation controls cardiomyocyte gene expression in development and hypertrophy. Nat Commun. 2016;7:12418.\\u003c/li\\u003e\\n\\u003cli\\u003eLiu C, Jiao C, Wang K, Yuan N. DNA Methylation and Psychiatric Disorders. Prog Mol Biol Transl Sci. 2018;157:175-232.\\u003c/li\\u003e\\n\\u003cli\\u003eBooij L, Szyf M, Carballedo A, Frey EM, Morris D, Dymov S, et al. DNA methylation of the serotonin transporter gene in peripheral cells and stress-related changes in hippocampal volume: a study in depressed patients and healthy controls. PLoS One. 2015;10(3):e0119061.\\u003c/li\\u003e\\n\\u003cli\\u003eSchmidt R, Herrojo Ruiz M, Kilavik BE, Lundqvist M, Starr PA, Aron AR. Beta Oscillations in Working Memory, Executive Control of Movement and Thought, and Sensorimotor Function. J Neurosci. 2019;39(42):8231-8.\\u003c/li\\u003e\\n\\u003cli\\u003eBaillet S. Magnetoencephalography for brain electrophysiology and imaging. Nat Neurosci. 2017;20(3):327-39.\\u003c/li\\u003e\\n\\u003cli\\u003eBrimberg L, Sadiq A, Gregersen PK, Diamond B. Brain-reactive IgG correlates with autoimmunity in mothers of a child with an autism spectrum disorder. Mol Psychiatry. 2013;18(11):1171-7.\\u003c/li\\u003e\\n\\u003cli\\u003eHjort L, Rushiti F, Wang SJ, Fransquet P, S PK, S IC, et al. Intergenerational effects of maternal post-traumatic stress disorder on offspring epigenetic patterns and cortisol levels. Epigenomics. 2021;13(12):967-80.\\u003c/li\\u003e\\n\\u003cli\\u003eKertes DA, Bhatt SS, Kamin HS, Hughes DA, Rodney NC, Mulligan CJ. BNDF methylation in mothers and newborns is associated with maternal exposure to war trauma. Clin Epigenetics. 2017;9:68.\\u003c/li\\u003e\\n\\u003cli\\u003eCieslak M, Wojtczak A. Role of purinergic receptors in the Alzheimer\\u0026apos;s disease. Purinergic Signal. 2018;14(4):331-44.\\u003c/li\\u003e\\n\\u003cli\\u003eBredy TW, Wu H, Crego C, Zellhoefer J, Sun YE, Barad M. Histone modifications around individual BDNF gene promoters in prefrontal cortex are associated with extinction of conditioned fear. Learn Mem. 2007;14(4):268-76.\\u003c/li\\u003e\\n\\u003cli\\u003eOlfson M, Mojtabai R, Merikangas KR, Compton WM, Wang S, Grant BF, et al. Reexamining associations between mania, depression, anxiety and substance use disorders: results from a prospective national cohort. Mol Psychiatry. 2017;22(2):235-41.\\u003c/li\\u003e\\n\\u003cli\\u003eCapera J, Serrano-Novillo C, Navarro-Perez M, Cassinelli S, Felipe A. The Potassium Channel Odyssey: Mechanisms of Traffic and Membrane Arrangement. Int J Mol Sci. 2019;20(3).\\u003c/li\\u003e\\n\\u003c/ol\\u003e\"}],\"fulltextSource\":\"\",\"fullText\":\"\",\"funders\":[],\"hasAdminPriorityOnWorkflow\":false,\"hasManuscriptDocX\":true,\"hasOptedInToPreprint\":true,\"hasPassedJournalQc\":\"\",\"hasAnyPriority\":false,\"hideJournal\":false,\"highlight\":\"\",\"institution\":\"\",\"isAcceptedByJournal\":true,\"isAuthorSuppliedPdf\":false,\"isDeskRejected\":\"\",\"isHiddenFromSearch\":false,\"isInQc\":false,\"isInWorkflow\":false,\"isPdf\":false,\"isPdfUpToDate\":true,\"isWithdrawnOrRetracted\":false,\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"identity\":\"molecular-neurobiology\",\"isNatureJournal\":false,\"hasQc\":true,\"allowDirectSubmit\":false,\"externalIdentity\":\"moln\",\"sideBox\":\"Learn more about [Molecular Neurobiology](https://www.springer.com/journal/12035)\",\"snPcode\":\"12035\",\"submissionUrl\":\"https://submission.nature.com/new-submission/12035/3\",\"title\":\"Molecular Neurobiology\",\"twitterHandle\":\"\",\"acdcEnabled\":true,\"dfaEnabled\":true,\"editorialSystem\":\"stoa\",\"reportingPortfolio\":\"Springer Hybrid\",\"inReviewEnabled\":true,\"inReviewRevisionsEnabled\":false},\"keywords\":\"epigenetic modifications, neurology, bibliometrics, hotspots, emerging trends\",\"lastPublishedDoi\":\"10.21203/rs.3.rs-5377025/v1\",\"lastPublishedDoiUrl\":\"https://doi.org/10.21203/rs.3.rs-5377025/v1\",\"license\":{\"name\":\"CC BY 4.0\",\"url\":\"https://creativecommons.org/licenses/by/4.0/\"},\"manuscriptAbstract\":\"\\u003cp\\u003eThis study employs a bibliometric analysis to examine the evolution and future trajectories in epigenetic modifications in neurology from 2004 to 2024. A total of 12,964 publications were scrutinized via the R bibliometrix package and VOSviewer for network visualization, complemented by Scimagp Graphica to elucidate global collaborative networks. Our extensive review reveals a significant growth in the field of epigenetic neurology studies, driven by an increased output of publications and evidenced by an enhanced focus on epigenetic modifications. The United States and McGill University are recognized as central contributors, with Nature leading as the most prolific journal and J. Mill and E.J. Nestler distinguishing themselves as key authors by publication volume and citation impact, respectively. A detailed keyword analysis highlighted \\\"expression,\\\" \\\"DNA methylation,\\\" \\\"brain,\\\" \\\"gene-expression,\\\" and \\\"gene\\\" as the most recurrent terms, indicating core areas of research concentration. Subsequent manual analysis due to software-detected inaccuracies reaffirmed Alzheimer's disease, cancer, and schizophrenia as predominant neurological diseases associated with epigenetic studies. Pathophysiological processes such as DNA methylation, oxidative stress, and synaptic plasticity have been extensively examined in relation to epigenetic modifications in neurology. Synthesis of the reference literature analysis identifies critical themes such as the role of glucocorticoid receptors, the significance of hydroxymethylcytosine in neural DNA, the implications of epigenetic patterns in mental health, and the impact of BDNF gene on memory consolidation. These insights into epigenetic research in neurology indicate a sustained and intensifying trajectory, hinting at expanding horizons for future therapeutic approaches and interventions. Our findings underscore an active and progressing interest in neurological epigenetics, suggesting a continued expansion and specialization in the exploration of epigenetic mechanisms and their clinical relevance.\\u003c/p\\u003e\",\"manuscriptTitle\":\"Emerging trends and hot spots in epigenetic modifications in neurology: A bibliometric analysis\",\"msid\":\"\",\"msnumber\":\"\",\"nonDraftVersions\":[{\"code\":1,\"date\":\"2025-01-16 09:04:23\",\"doi\":\"10.21203/rs.3.rs-5377025/v1\",\"editorialEvents\":[{\"type\":\"communityComments\",\"content\":0},{\"type\":\"decision\",\"content\":\"Revision requested\",\"date\":\"2025-02-17T09:01:47+00:00\",\"index\":\"\",\"fulltext\":\"\"},{\"type\":\"editorInvitedReview\",\"content\":\"\",\"date\":\"2025-02-16T15:43:55+00:00\",\"index\":\"hide\",\"fulltext\":\"\"},{\"type\":\"editorInvitedReview\",\"content\":\"\",\"date\":\"2025-02-13T13:53:41+00:00\",\"index\":\"hide\",\"fulltext\":\"\"},{\"type\":\"reviewerAgreed\",\"content\":\"330504680303227472233744801633054703287\",\"date\":\"2025-02-10T18:30:21+00:00\",\"index\":\"hide\",\"fulltext\":\"\"},{\"type\":\"reviewerAgreed\",\"content\":\"270529647556793678284399395569451202647\",\"date\":\"2025-02-08T13:38:07+00:00\",\"index\":\"hide\",\"fulltext\":\"\"},{\"type\":\"reviewerAgreed\",\"content\":\"63468735526255033300735974398033440965\",\"date\":\"2025-02-07T11:35:05+00:00\",\"index\":\"hide\",\"fulltext\":\"\"},{\"type\":\"reviewersInvited\",\"content\":\"\",\"date\":\"2025-02-07T10:07:27+00:00\",\"index\":\"\",\"fulltext\":\"\"},{\"type\":\"editorAssigned\",\"content\":\"\",\"date\":\"2025-01-14T12:35:24+00:00\",\"index\":\"\",\"fulltext\":\"\"},{\"type\":\"checksComplete\",\"content\":\"\",\"date\":\"2025-01-14T12:33:00+00:00\",\"index\":\"\",\"fulltext\":\"\"},{\"type\":\"submitted\",\"content\":\"Molecular Neurobiology\",\"date\":\"2024-11-02T07:46:07+00:00\",\"index\":\"\",\"fulltext\":\"\"}],\"status\":\"published\",\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"identity\":\"molecular-neurobiology\",\"isNatureJournal\":false,\"hasQc\":true,\"allowDirectSubmit\":false,\"externalIdentity\":\"moln\",\"sideBox\":\"Learn more about [Molecular Neurobiology](https://www.springer.com/journal/12035)\",\"snPcode\":\"12035\",\"submissionUrl\":\"https://submission.nature.com/new-submission/12035/3\",\"title\":\"Molecular Neurobiology\",\"twitterHandle\":\"\",\"acdcEnabled\":true,\"dfaEnabled\":true,\"editorialSystem\":\"stoa\",\"reportingPortfolio\":\"Springer Hybrid\",\"inReviewEnabled\":true,\"inReviewRevisionsEnabled\":false}}],\"origin\":\"\",\"ownerIdentity\":\"959b5f05-ffed-48e0-8e9e-0c3f3d117a04\",\"owner\":[],\"postedDate\":\"January 16th, 2025\",\"published\":true,\"recentEditorialEvents\":[],\"rejectedJournal\":[],\"revision\":\"\",\"amendment\":\"\",\"status\":\"published-in-journal\",\"subjectAreas\":[],\"tags\":[],\"updatedAt\":\"2025-04-14T16:10:43+00:00\",\"versionOfRecord\":{\"articleIdentity\":\"rs-5377025\",\"link\":\"https://doi.org/10.1007/s12035-025-04862-0\",\"journal\":{\"identity\":\"molecular-neurobiology\",\"isVorOnly\":false,\"title\":\"Molecular Neurobiology\"},\"publishedOn\":\"2025-04-11 16:05:41\",\"publishedOnDateReadable\":\"April 11th, 2025\"},\"versionCreatedAt\":\"2025-01-16 09:04:23\",\"video\":\"\",\"vorDoi\":\"10.1007/s12035-025-04862-0\",\"vorDoiUrl\":\"https://doi.org/10.1007/s12035-025-04862-0\",\"workflowStages\":[]},\"version\":\"v1\",\"identity\":\"rs-5377025\",\"journalConfig\":\"researchsquare\"},\"__N_SSP\":true},\"page\":\"/article/[identity]/[[...version]]\",\"query\":{\"redirect\":\"/article/rs-5377025\",\"identity\":\"rs-5377025\",\"version\":[\"v1\"]},\"buildId\":\"8U1c8b4HqxoKbykW_rLl7\",\"isFallback\":false,\"isExperimentalCompile\":false,\"dynamicIds\":[84888],\"gssp\":true,\"scriptLoader\":[]}","source_license":"CC-BY-4.0","license_restricted":false}