Bi-directional causal association between 17 neurosurgical diseases and three emotional disorders: perspective from Mendelian randomization analysis

Bi-directional causal association between 17 neurosurgical diseases and three emotional disorders: perspective from Mendelian randomization 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 Bi-directional causal association between 17 neurosurgical diseases and three emotional disorders: perspective from Mendelian randomization analysis Haonan Chen, Renhao Zhang, Xinjie Wen, Dongqi Shao, Qiang Fu, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4869584/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background Although numerous studies have reported correlations between emotional disorders and neurosurgical conditions, their causal relationships is not convincing. Therefore, we seek to comprehensively investigate the connection between the two using bidirectional Mendelian randomization studies. Methods The GWAS aggregated data encompassed 17 types of neurosurgical diseases (including cerebrovascular diseases, functional disorders, central nervous system neoplasms, spinal and spinal cord diseases, and other brain conditions) and 3 emotional disorders (anxiety, mania, and depression), sourced from IEU and FINNGEN. The primary analysis method applied was inverse variance-weighted (IVW) analysis, supplemented by MR-Egger and weighted median methods to ensure robust estimates. A series of sensitivity analyses, including Cochran’s Q test, MR-Egger regression, and leave-one-out analysis, were conducted to detect pleiotropy or heterogeneity. Results IVW estimates indicated that trigeminal neuralgia significantly associated with the risk of mania (p=0.002, odds ratio [OR]=1.008, 95 % confidence interval [CI] = 1.003 to 1.014), a higher genetic predisposition to congenital malformations of nervous system may reduce the development of depression (p=0.002, OR= 0.996; 95 %CI = 0.992 to 0.998) and the causal effect of depression on transient ischemic attack (IVW, P=0.004, odds ratio (p=0.004, OR = 4.141; 95 %CI = 1.560 to 10.988). The results of comprehensive sensitivity analyses were consistent with the main causality estimate. No pleiotropy and heterogeneity were detected in our MR study. Conclusions Our large-scaled MR analysis indicated that trigeminal neuralgia and congenital malformations of the nervous system predispose patients to emotional disorders, while depression, in particular, increases vulnerability to transient ischemic stroke. neurosurgical diseases emotional disorders Mendelian randomization causality. Figures Figure 1 Figure 2 Highlights A causal relationship was established between trigeminal neuralgia and manifestations of mania or irritability. This suggests that the neural pathways involved in trigeminal neuralgia may also play a role in triggering manic episodes. MR analysis indicated that congenital malformations of the nervous system predispose patients to emotional disorders. MR analysis indicated that depression, in particular, increases vulnerability to transient ischemic stroke. 1 Introduction Neurosurgical disorders are notorious of their complexity and variant nature, encompassing a vast array of conditions such as cerebrovascular diseases, functional neurological disorders, and central nervous system tumors. The incidence of neurosurgical diseases climbs up as the inclined aging of the global population. Cerebrovascular diseases, including ischemic stroke, hemorrhagic stroke, and vascular malformations, are leading causes of morbidity and mortality worldwide(Liu et al., 2024 ). Cerebral infarction, one manifestation of ischemic stroke, particularly affects the elders and signifies the occlusion of major cerebral arteries like the middle cerebral artery (MCA), leading to significant brain damage. Its mortality rate can reach as high as 80% if untreated(Huttner and Schwab, 2009 ). Functional neurological disorders, such as Parkinson's disease, are more frequent in the male and the elders(Ben-Shlomo et al., 2024 ), characterized by the degeneration of dopamine-producing neurons in the substantia nigra (De Virgilio et al., 2016 ; Tolosa et al., 2006 ).These disorders, while not so tremendously fatal as cerebrovascular diseases, still severely impact the quality of life and result in physical, psychological, and social agony (Coukos and Krainc, 2024 ). Central nervous system tumors, including meningiomas, gliomas, and acoustic neuromas, also pose significant health risks, in which gliomas have extreme mortality rate in particular. Malignant primary brain tumors cause over 15,000 deaths annually in the United States alone. The incidence of primary malignant brain tumors is approximately 7 cases per 100,000 people per year and increases with age, with a five-year survival rate of about 36%(Schaff and Mellinghoff, 2023 ). The aggravating global burden of neurosurgical diseases brings significant challenges to public health and medical systems. It is not rare to observe the concurrence of emotional disorders in patients with neurosurgical diseases. More epidemiological evidence suggests a close link between neurosurgical conditions and emotional abnormalities. Neurosurgical diseases display a tendency of mutual reinforcement with emotional disturbances. Studies had shown that patients with arachnoid cysts exhibited higher levels of anxiety and depression compared to the general population, while these symptoms usually normalized after cyst decompression surgery. A hemispheric asymmetry in anxiety-like behavior induced by arachnoid cysts was also reported, with right temporal lobe cysts yielding higher anxiety and depression scores than left-sided cysts(Gjerde et al., 2019 ). Epileptic patients, particularly those with temporal lobe epilepsy (TLE), frequently experience psychiatric disorders(de Oliveira et al., 2010 ; Schmitz, 2005 ). Between 11–44% of epilepsy patients suffer from depression, whereas about half of TLE patients experience emotional disorders. Additionally, more than one-third of patients with cervical spondylotic myelopathy (CSM) report depressive or anxious feelings; these negative emotions closely linked to decreased activity levels(de Oliveira et al., 2010 ). Brain lesions can also result in secondary mania, with acute brain injuries, chronic neurological diseases, and neurosurgical interventions all associated with manic symptoms. Conversely, there is evidence suggesting that emotional disorders might predispose individuals to neurological diseases. A study on cerebrospinal fluid biomarkers in patients with major depression identified 11 characteristic proteins and 144 peptides consisting a signature atlas expressed alternatively from those in healthy controls. These biomarkers linked substantially to brain metabolism or central nervous system diseases. A meta-analysis also found increased total protein levels in patients with affective disorders, indicating blood-brain barrier dysfunction and central nervous system inflammation, suggesting rising prevalence of neurological diseases caused by depression(de Oliveira et al., 2010 ). Nevertheless, research evidence regarding the causal relationship between various neurological disorders and common emotional disorders are scattered and inconclusive. Using Mendelian randomization, we therefore performed this bidirectional two-sample MR analysis to reveal their causal relationships respectively. 2 Methods 2.1 | Data sources The GWAS data involved 17 types of neurosurgical diseases, including cerebrovascular diseases, functional diseases, central nervous system neoplasms, spinal and spinal cord disease and other brain diseases alike. Three principal emotional disorders (anxiety, mania and depression) with their subtypes were from two modern independent cohorts, IEU open GWAS and FinnGen. The detailed information was presented in Table 1 . Their data could be obtained from the websites (IEU open GWAS https://gwas.mrcieu.ac.uk ; FinnGen https://www.finngen.fi/en/access_results ). In each MR analysis, no overlap was identified in the exposure and the outcome. We report the analysis following strobe-mr guideline. Table 1 Summary of genetic data information utilized in the study. Category Disease Number of case Number of controls Population Year Consortium p Functional diseases severe traumatic brain injury, does not include concussion 7430 404751 European 2023 finngen 5e-8 Parkinson's disease 4681 407500 European 2023 finngen 5e-8 Epilepsy 12891 312803 European 2023 finngen 5e-8 Trigeminal neuralgia 1777 360538 European 2023 finngen 5e-8 Cerebrovascular diseases Transient ischemic attack 19930 374310 European 2023 finngen 5e-8 Cerebral infarction 1420 461590 European 2018 ukb-b-19350 5e-6 Aneurysms, operations, SAH 5754 374631 European 2023 finngen 5e-8 Cerebral aneurysm, nonruptured 2784 374631 European 2023 finngen 5e-8 Intracerebral hemorrhage 1935 471578 European 2021 ebi-a-GCST90018870 5e-6 Central nervous system neoplasms Malignant neoplasm of brain and other parts of CNS 816 314193 European 2023 finngen 5e-8 Benign neoplasm of brain and other parts of central nervous system 1917 410264 European 2023 finngen 5e-8 Benign neoplasm: Pituitary gland, craniopharyngeal duct 1508 410673 European 2023 finngen 5e-8 Brain meningioma (controls excluding all cancers) 1316 313392 European 2023 finngen 5e-8 Brain glioblastoma (controls excluding all cancers) 253 314393 European 2023 finngen 5e-8 Other brain diseases Hydrocephalus 2455 382198 European 2023 finngen 5e-8 Congenital malforma tions of the nervous system 637 411544 European 2023 finngen 5e-6 Spinal and spinal cord disease Cervical spondylosis 3352 481256 European 2021 ebi-a-GCST90038693 5e-8 Emotional disorders anxious 255812 194953 European 2018 ukb-b-6519 5e-8 Depression (broad) 113769 208811 European 2018 ebi-a-GCS005902 5e-8 Manifestations of mania or irritability: I was more restless than usual 12876 101546 European 2018 ukb-d-205482 5e-8 Non-cancer illness code self-reported: mania/bipolar disorder/manic depression 902 336,257 European 2017 ukb-a-83 5e-8 depression 2149 246352 European 2023 finngen 5e-8 anxious 27664 368054 European 2023 finngen 5e-8 mania 992 359290 European 2023 finngen 5e-8 2.2 | Instrumental variable 2.2 IVS selection We utilized the “extract_instruments” function from the R package “TwoSampleMR” to interpret the exposure factors and IVs were determined by the relevance of SNPs to those factors (p < 5×10 − 8 ). If no corresponding SNP be present in either disease category, we adjusted the P-value threshold to p < 5× 10 − 5. The exclusion of SNPs relied on the exhibition of linkage disequilibrium regardless of the p value threshold (clump = TRUE, r2 = 0.001, kb = 10,000). We also eliminated those with strong associations with the outcomes from the identification of genome-wide association study (GWAS) data. In the forward MR analysis, the exposure factor was Neurosurgical diseases, and the outcome was Emotional disorders; whereas they were reciprocated in the reverse analysis. To endorse the robustness of our method, we computed the F-statistics for each genetic instrument. An F-value exceeding 10 was regarded as indicative of a minimal likelihood of bias resulting from weak instruments. The F-statistics were calculated as F= \(\:\frac{R2}{1-R2}\) \(\:\times\:\) (N-2) and R2= \(\:\frac{\beta\:2}{\beta\:2+se2\times\:\text{N}}\) , R2 means variance of exposure explained by instrument variable; N indicates sample size;βindicated effect size for the genetic variant of interest; se indicated a standard error for b; N indicated sample size(Luo et al., 2023 ). 2.3 | MR analysis Three MR methods were used to provide robust MR estimates: Inverse-Variance Weighted (IVW) (Burgess et al., 2013 ), MR‐Egger(Fujii et al., 2024 ), Weighted Median(Bowden et al., 2015 ). The IVW method was chosen as the primary analytical approach due to its distinguished recommendation and the remaining three were to enhance the robustness of the estimates. In the IVW analysis, the MR estimates was derived from the weighted regression slope reflecting the effect of neurosurgical disease-related SNP on those corresponded to emotional disorder, with the intercept fixed at zero to ensure accuracy. Even in senarios of up to 50% of invalidity presented in the instrumental variables, weighted median still sustained consistency on the estimate of causality. The MR-Egger method was predicated on the assumption of no directed pleiotropy in the SNP-exposure effects (Bowden et al., 2015 ). The MR‐PRESSO method detected potential horizontal pleiotropic effects of SNPs for the correction of possible outliers (Verbanck et al., 2018 ). All results were presented as odds ratio (OR) and 95% confidence interval (95% CI), representing the risks of emotional disorders for patients with neurological disorders compared to those without them. Since our data included 17 neurosurgical diseases, we used Bonferroni correction to adjust the significance threshold and set it to 0.05/17 for multiple analyses. 2.4 | Sensitivity analysis In an MR study, three main assumptions must be met to generate robust causal estimates: (1) the selected genetic variant is strongly associated with exposure, (2) the genetic variant is not associated with any confounding factors for exposure and outcome, and (3) the genetic variant should independently affect the outcome through exposure only but not by any other causal pathway (Boef et al., 2015 ). The robustness of instrumental variables satisfied the fist assumption, while the second one was fulfied by the random and environment-independent assignment of SNPs during pregnancy. The performance of a sensitivity analysis using MR-Steiger acted as the assessment of the third assumption and the possible effect of horizontal pleiotropy. Scatter plots were utilized to offer a intuitive interpretation of the data from a two-sample MR study. We also conducted several rigorous tests, including the MR-Egger regression intercept test, MR-PRESSO, leave-one-out analysis, and funnel plots, each contributing to a thorough examination of the data's integrity. The implementation of Cochran's Q test next aimed to filter heterogeneity (Burgess and Thompson, 2017 ). Following the exclusion of SNPs associated with potential confounders of genome-wide significance, the ascertainment of solid causal effects were verified by reperforming the MR analyses. 2.5 | Statistics analysis All analyses were conducted using the TwoSampleMR (version 0.4.25) and MR-PRESSO (version 1.0) packages in R (version 3.6.1). Two‐sided p < 0.05 was considered significant. In this study it was not the goal to set a particular threshold of p-value but rather find the causal relationship between different neurosurgical and emotional disorders. 3 RESULTS We conducted bidirectional Mendelian randomization between 17 common Neurosurgical diseases and 3 Emotional disorders. Following filtration, 3 to 25 independent SNPs of neurosurgical diseases and 1 to 12 independent SNPs of emotional disorders were identified as IVs (Supplementary Table S1 &S5). Our research results showed a significant correlation between trigeminal neuralgia and mania, congenital malformations of nervous system and depression(broad), depression and transient ischemic stroke in the circumstance of no correction. No causal relationship was found in other studies (Supplementary Table S2 -S4, S6-S8). 3.1 |Association between Trigeminal neuralgia and mania The IVW method established causality of trigeminal neuralgia with manifestations of mania or irritability (p = 0.002) (odds ratio [OR] = 1.008, 95% confidence interval [CI] = 1.003 to 1.014). The results weighted median and MR-egger purported insignificant tendency of the same causal effect, suggesting trigeminal neuralgia as a risk factor for mania with a positive slope based on the IVW method. Cochrane’s Q test identified no heterogeneity in the data (P = 0.711), the MR-Egger intercept revealed no evidence of directional pleiotropy regarding trigeminal neuralgia and mania (P = 0.371) (Table 2 , Table 3 , Fig. 2A, Supplementary Fig. 1A). TABLE 2. MR analyses of the effect of Neurosurgical diseases on Emotional disorders and Emotional disorders on Neurosurgical diseases. TABLE 3. Tests of heterogeneity, pleiotropy The P value of reverse Wald Ratio estimates was greater than 0.05, indicating no statistical significance in the reverse MR of mania and trigeminal neuralgia (p = 0.613) (Table 2 ). Given that only one SNP was associated with exposure, there was no heterogeneity, directional pleiotropy or point of severe bias detected. In summary, our results unraveled that trigeminal neuralgia was a risk factor for mania whereas no causal effect of mania on trigeminal neuralgia was found. 3.2 | Association between congenital malformations of nervous system and depression(broad) The results of IVW method indicated that a higher genetic predisposition to congenital malformations of nervous system might reduce the development of depression (odds ratio (OR) = 0.996; 95% confidence interval [CI] = 0.992 to 0.998; P = 0.002). Cochrane’s Q test showed no heterogeneity in the data (P = 0.574). Moreover, the MR-Egger intercept revealed no evidence of directional pleiotropy between congenital malformations of nervous system and depression (broad) (P = 0.120). Since "congenital malformations of nervous system" represented a neurological manifestation and should not be considered as an outcome, we did not perform a Mendelian analysis for depression and congenital malformations of nervous system (Table 2 , Table 3 , Fig. 2B, Supplementary Fig. 1B). 3.3 | Association between depression and transient ischemic attack The primary MR using IVW estimated no statistically significant effect of transient ischemic attack on depression (P = 0.398, odds ratio [OR] = 0.995, 95% confidence interval [CI] 0.984 to 1.006) (Table 2 ). No horizontal pleiotropy (P = 0.237) or point of severe bias was detected (Table 3 ), neither did any evidence of directional pleiotropy revealed in the MR-Egger intercept regarding transient ischemic stroke and depression(P = 0.990) (Table 2 , Table 3 , Fig. 2C, Supplementary Fig. 1C) However, the reverse MR analysis denoted the causal effect of depression on transient ischemic attack (IVW, P = 0.004, odds ratio (OR) = 4.141; 95% confidence interval [CI] = 1.560 to 10.988; P = 0.004), although the P value did not meet the Bonferroni correction for multiple tests. No horizontal pleiotropy (P = 0.724) or point of severe bias was detected. The MR-Egger intercept revealed no evidence of directional pleiotropy concerning depression and ischemic stroke (P = 0.973). In summary, our results inclined to increased risk of transient ischemic attack by depression.(Table 2 , Table 3 , Fig. 2D, Supplementary Fig. 1D) 4 Discussion In this study, the MR analysis was used to assess whether there is a bidirectional causal association between 17 neurosurgical diseases and 3 emotional disorders. The results showed that there were causal associations between trigeminal neuralgia and mania, depression and transient ischemic attack, and congenital malformations of nervous system and depression(broad). Trigeminal neuralgia particularly increased the risk of mania; and likewise, similar circumstance applied to depression on transient ischemic attack. In clinical practice, it is a common observation that patients suffering from trigeminal neuralgia (TN) frequently exhibit symptoms of depression and anxiety (Stubbs et al., 2017 ). However, the exploration into whether trigeminal neuralgia can precipitate manic episodes has been notably sparse. Additionally, in cases where patients do experience manic episodes, trigeminal neuralgia is rarely considered as the principal trigger. As a chronic neurological disorder, trigeminal neuralgia is intricately linked to neurovascular compression (NVC) of the trigeminal nerve near its entry site into the spine(Cheshire, 2007 ; Truini et al., 2005 ). Carbamazepine, a traditional medication widely used in the treatment of trigeminal neuralgia(Peterson-Houle et al., 2021 ), has also demonstrated efficacy in the treatment of various psychiatric disorders, such as both acute and chronic management of bipolar disorder. This dual utility hints at a potential connection between trigeminal neuralgia and the occurrence of manic episodes (Denicoff et al., 1994 ). The amygdala, being a crucial hub within the emotion-related network, plays a crucial role in stress regulation. Research has shown that in patients suffering from depression, there is a marked reduction in the functional connectivity (FC) of the right lateral amygdala with the right anterior and right posterior hippocampus. Conversely, in patients experiencing manic episodes, there is an increase in connectivity within the left medial amygdala and the left nucleus accumbens shell. Another groundbreaking study employing ultra-high-field MRI techniques revealed significant structural changes in the trigeminal nerve, hippocampus, amygdala, and thalamic subregions in TN patients(Zhang et al., 2018 ); specifically, the basal nuclei of the amygdala on the symptomatic side were smaller in patients with classic paroxysmal trigeminal neuralgia compared to the control group (Alper et al., 2021 ). Further research into the dysregulation of pain and emotion-related networks in trigeminal neuralgia has uncovered a reduction in gray matter volume within the bilateral amygdala, periaqueductal gray (PAG), and right insula of TN patients. These discoveries underscore the presence of profound structural and functional deficiencies within the emotion-related networks of those afflicted with TN. Such evidence implies the notion that the neurobiological underpinnings of TN encompass a complex interplay between local structural alterations within the trigeminal nerve and subnuclear changes in limbic structures, collectively suggesting that the amygdala may serve as a critical bridge linking trigeminal neuralgia with emotional disorders. Furthermore, extensive cerebral changes of structure in patients with classic trigeminal neuralgia (CTN) had also been reported (Liu et al., 2022 ). One study that evaluated MRI changes in trigeminal neuralgia (TN) patients found cortex thinning in the bilateral temporal lobes, frontal lobes, cingulate gyrus, somatosensory and occipital regions (Liu et al., 2022 ). Patients with bipolar disorder often experience alternatively manic and depressive episodes. Research indicates that bipolar disorder is primarily associated with structural abnormalities in the brain, particularly in the prefrontal and temporal cortices, cingulate gyrus, and subcortical regions. Manic episodes are linked to increased cortical volume and reduced thickness in certain brain regions, especially in the prefrontal cortex(Abé et al., 2023 ). This was further supported by the largest longitudinal MRI study on bipolar disorder to date, which analyzed extensive imaging data and found that abnormal thinning of the frontal cortex associated with frequent manic episodes. These findings suggest that long-term trigeminal neuralgia patients may experience changes in the prefrontal cortex, leading to the influence of the emotion regulation network and uncontrollable manic reactions. In addition, a recent study in mice identified a dedicated neural circuit from the ventral hippocampus (vHPC) to the medial prefrontal cortex (mPFC) that mediates TN-related emotional changes. Although blocking this pathway primarily inhibited depressive and anxiety-like behaviors in mice (Lv et al., 2024 ), the involvement of the prefrontal cortex suggested that this neural circuit might also play a role in manic episodes. Central nervous system (CNS) malformations can be broadly classified into cranial nervous system malformations and brain developmental abnormalities. Cranial nervous system malformations encompass conditions such as spina bifida, hydrocephalus, anencephaly, and encephalocele. Brain developmental abnormalities include holoprosencephaly, brain dysplasia, Dandy-Walker syndrome, and agenesis of the corpus callosum(Verity et al., 2003 ). These malformations often result from a variety of factors, including genetic, environmental, and pharmaceutical influences(Poe et al., 1989 ), they impact the embryo during its developmental stages, leading to CNS abnormalities. Such impact on intellectual abilities is profound, often complicating the administration of emotional assessment questionnaires. As a result, there is a paucity of research exploring the link between nervous system malformations and emotional disorders. Our study has denoted an insight that nervous system malformations may reduce the incidence of depression. However, the underlying mechanisms remain elusive and warrant further investigation. The classic definition of TIA is a sudden, focal neu-rologic deficit that lasts for less than 24 hours, is pre-sumed to be of vascular origin, and is confined to an area of the brain or eye perfused by a specific artery(Albers et al., 2002 ), affecting 46 000 people forhe first time in the UK every year(The, 2014 ). A comprehensive population-based cohort study investigated the effect of emotional stress on the incidence of cardiovascular events using standard psychological questionnaires, with follow-up periods up to 8.5 years. It revealed that higher levels of stress, hostility, and depressive symptoms were significantly associated with an increased risk of stroke or TIA in middle-aged and older adults (Everson-Rose et al., 2014 ; Hering et al., 2015 ). Another prospective population study on stroke incidence indicated that depression could increase the likelihood of stroke by up to 35% (Wadley et al., 2007 ). Many patients with TIA generally exhibit a spectrum of anxiety or depression-like behaviors(El Husseini et al., 2012 ; Luijendijk et al., 2011 ), as TIA can lead to long-term neurological issues due to increased nitrosative stress (Tomas-Sanchez et al., 2024 ). However, there is a lack of sufficient prospective research to support whether depression can directly cause TIA. Our research indicated that while depression indeed heightened the risk of TIA, the occurrence of TIA did not reciprocally increase the risk of depression. This discrepancy might be attributed to the brief duration of TIA episodes and the insufficient intensity and duration of nitrosative stress to provoke depression. To thoroughly understand the intricate relationship between depression and TIA, larger and more comprehensive prospective studies are essential. Such studies would be instrumental in verifying their causal associations. Mendelian randomization offers an alternative to traditional randomized controlled trials to evaluate causal relationships by bypassing ethical constraints. This approach bolsters the hypothesis of a causal link between neurological disorders and emotional diseases, potentially paving the way for innovative preventive strategies for both conditions. However, our study is not without its limitations. Primarily, our research was restricted to individuals of European ancestry. While this minimized bias from population stratification, it also limited the applicability of our findings to other racial and ethnic groups. Furthermore, like all Mendelian randomization studies, we could not entirely address unobserved pleiotropy, which might likely introduce bias into our results. Therefore, extensive randomized controlled trials remain essential to further investigate the intricate relationship between neurological disorders and psychiatric conditions. 5 Conclusion In summary, our study identified causal relationships between neurological diseases (trigeminal neuralgia, CNS malformation and transient ischemic stroke) and emotional disorders (mania and depression); trigeminal neuralgia and congenital malformation of the nervous system predispose patients to emotional disorders, whereas depression in particular causes vulnerability to transient ischemic stroke. Proactive intervention in managing physical and emotional conditions potentially reduces their likelihoods of occurrence. This highlights the necessity for an integrated and holistic approach to patient care so to achieve ideal outcomes in healthcare. Declarations Ethics approval and consent to participate No applicable. Consent for publication No applicable. Funding This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. CRediT authorship contribution statement Haonan Chen : Resources, Project administration, Methodology, Investigation, Formal analysis, Data curation. Renhao Zhang : Resources, Data curation. Xinjie Wen : Methodology, Investigation, Data curation. Dongqi Shao :Methodology, Investigation. Qiang Fu : Resources, Project administration, Shichao Yin : Data curation, Software. Yifan Lv : Formal analysis, Supervision. Tao Sun : Writing – review & editing, Writing – original draft, Conceptualization. Declaration of competing interest The authors declare no conflicts of interest related to this study. Acknowledgement I would first like to thank my supervisors, Tao Sun, whose expertise was invaluable in formulating the research questions and methodology. I would particularly like to appreciate my groupmates for their wonderful collaboration and patient support. 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Peterson-Houle, G.M., AbdelFattah, M.R., Padilla, M., Enciso, R., 2021. Efficacy of medications in adult patients with trigeminal neuralgia compared to placebo intervention: a systematic review with meta-analyses. J Dent Anesth Pain Med 21, 379-396. Poe, L.B., Coleman, L.L., Mahmud, F., 1989. Congenital central nervous system anomalies. Radiographics 9, 801-826. Schaff, L.R., Mellinghoff, I.K., 2023. Glioblastoma and Other Primary Brain Malignancies in Adults: A Review. Jama 329, 574-587. Schmitz, B., 2005. Depression and mania in patients with epilepsy. Epilepsia 46 Suppl 4, 45-49. Stubbs, B., Vancampfort, D., Veronese, N., Thompson, T., Fornaro, M., Schofield, P., Solmi, M., Mugisha, J., Carvalho, A.F., Koyanagi, A., 2017. Depression and pain: primary data and meta-analysis among 237 952 people across 47 low- and middle-income countries. Psychol Med 47, 2906-2917. The, L., 2014. Transient ischaemic attack: more than a stroke of bad luck. Lancet 383, 1610. Tolosa, E., Wenning, G., Poewe, W., 2006. The diagnosis of Parkinson's disease. Lancet Neurol 5, 75-86. Tomas-Sanchez, C., Blanco-Alvarez, V.M., Gonzalez-Barrios, J.A., Martinez-Fong, D., Soto-Rodriguez, G., Brambila, E., Gonzalez-Vazquez, A., Aguilar-Peralta, A.K., Limón, D.I., Vargas-Castro, V., Cebada, J., Alatriste-Bueno, V., Leon-Chavez, B.A., 2024. Prophylactic zinc and therapeutic selenium administration in adult rats prevents long-term cognitive and behavioral sequelae by a transient ischemic attack. Heliyon 10, e30017. Truini, A., Galeotti, F., Cruccu, G., 2005. New insight into trigeminal neuralgia. J Headache Pain 6, 237-239. Verbanck, M., Chen, C.Y., Neale, B., Do, R., 2018. Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases. Nat Genet 50, 693-698. Verity, C., Firth, H., ffrench-Constant, C., 2003. Congenital abnormalities of the central nervous system. J Neurol Neurosurg Psychiatry 74 Suppl 1, i3-8. Wadley, V.G., McClure, L.A., Howard, V.J., Unverzagt, F.W., Go, R.C., Moy, C.S., Crowther, M.R., Gomez, C.R., Howard, G., 2007. Cognitive status, stroke symptom reports, and modifiable risk factors among individuals with no diagnosis of stroke or transient ischemic attack in the REasons for Geographic and Racial Differences in Stroke (REGARDS) Study. Stroke 38, 1143-1147. Zhang, Y., Mao, Z., Pan, L., Ling, Z., Liu, X., Zhang, J., Yu, X., 2018. Dysregulation of Pain- and Emotion-Related Networks in Trigeminal Neuralgia. Front Hum Neurosci 12, 107. Additional Declarations No competing interests reported. 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01:09:29","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":2021341,"visible":true,"origin":"","legend":"\u003cp\u003eSee image above for figure legend\u003c/p\u003e","description":"","filename":"figure1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4869584/v1/7084360357b8e255e55065fd.jpg"},{"id":64570375,"identity":"1c10b940-a459-4238-9c8b-21ff0be8b626","added_by":"auto","created_at":"2024-09-16 01:01:29","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":342424,"visible":true,"origin":"","legend":"\u003cp\u003eSee image above for figure legend\u003c/p\u003e","description":"","filename":"figure2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4869584/v1/cdcc0673d7112a16f7e10c45.jpg"},{"id":87888859,"identity":"4dc71c70-6c00-4034-84b4-d93f1e66cec3","added_by":"auto","created_at":"2025-07-30 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01:01:30","extension":"tif","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":14236186,"visible":true,"origin":"","legend":"","description":"","filename":"supplementaryfigure02.tif","url":"https://assets-eu.researchsquare.com/files/rs-4869584/v1/a7ac78ce9016bdab88b1caab.tif"},{"id":64570373,"identity":"c6c05b23-1a87-4ce7-aafe-402bbfa40902","added_by":"auto","created_at":"2024-09-16 01:01:29","extension":"docx","order_by":3,"title":"","display":"","copyAsset":false,"role":"supplement","size":27943,"visible":true,"origin":"","legend":"","description":"","filename":"STROBEMRchecklistnew.docx","url":"https://assets-eu.researchsquare.com/files/rs-4869584/v1/671fd76ce1bcae6cd150e2c6.docx"},{"id":64570376,"identity":"4622dd3b-09a4-430c-b0d2-59ec3bbed30a","added_by":"auto","created_at":"2024-09-16 01:01:30","extension":"xlsx","order_by":4,"title":"","display":"","copyAsset":false,"role":"supplement","size":240064,"visible":true,"origin":"","legend":"","description":"","filename":"supplementarytable.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-4869584/v1/9eccb917b35daab0c2e91b1a.xlsx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Bi-directional causal association between 17 neurosurgical diseases and three emotional disorders: perspective from Mendelian randomization analysis","fulltext":[{"header":"Highlights ","content":"\u003cul\u003e\n \u003cli\u003eA causal relationship was established between trigeminal neuralgia and manifestations of mania or irritability. This suggests that the neural pathways involved in trigeminal neuralgia may also play a role in triggering manic episodes.\u003c/li\u003e\n \u003cli\u003eMR analysis indicated that congenital malformations of the nervous system predispose patients to emotional disorders.\u003c/li\u003e\n \u003cli\u003eMR analysis indicated that depression, in particular, increases vulnerability to transient ischemic stroke.\u003c/li\u003e\n\u003c/ul\u003e"},{"header":"1 Introduction","content":"\u003cp\u003eNeurosurgical disorders are notorious of their complexity and variant nature, encompassing a vast array of conditions such as cerebrovascular diseases, functional neurological disorders, and central nervous system tumors. The incidence of neurosurgical diseases climbs up as the inclined aging of the global population. Cerebrovascular diseases, including ischemic stroke, hemorrhagic stroke, and vascular malformations, are leading causes of morbidity and mortality worldwide(Liu et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2024\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eCerebral infarction, one manifestation of ischemic stroke, particularly affects the elders and signifies the occlusion of major cerebral arteries like the middle cerebral artery (MCA), leading to significant brain damage. Its mortality rate can reach as high as 80% if untreated(Huttner and Schwab, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2009\u003c/span\u003e). Functional neurological disorders, such as Parkinson's disease, are more frequent in the male and the elders(Ben-Shlomo et al., \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2024\u003c/span\u003e), characterized by the degeneration of dopamine-producing neurons in the substantia nigra (De Virgilio et al., \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2016\u003c/span\u003e; Tolosa et al., \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e2006\u003c/span\u003e).These disorders, while not so tremendously fatal as cerebrovascular diseases, still severely impact the quality of life and result in physical, psychological, and social agony (Coukos and Krainc, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Central nervous system tumors, including meningiomas, gliomas, and acoustic neuromas, also pose significant health risks, in which gliomas have extreme mortality rate in particular. Malignant primary brain tumors cause over 15,000 deaths annually in the United States alone. The incidence of primary malignant brain tumors is approximately 7 cases per 100,000 people per year and increases with age, with a five-year survival rate of about 36%(Schaff and Mellinghoff, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). The aggravating global burden of neurosurgical diseases brings significant challenges to public health and medical systems.\u003c/p\u003e \u003cp\u003eIt is not rare to observe the concurrence of emotional disorders in patients with neurosurgical diseases. More epidemiological evidence suggests a close link between neurosurgical conditions and emotional abnormalities. Neurosurgical diseases display a tendency of mutual reinforcement with emotional disturbances. Studies had shown that patients with arachnoid cysts exhibited higher levels of anxiety and depression compared to the general population, while these symptoms usually normalized after cyst decompression surgery. A hemispheric asymmetry in anxiety-like behavior induced by arachnoid cysts was also reported, with right temporal lobe cysts yielding higher anxiety and depression scores than left-sided cysts(Gjerde et al., \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). Epileptic patients, particularly those with temporal lobe epilepsy (TLE), frequently experience psychiatric disorders(de Oliveira et al., \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2010\u003c/span\u003e; Schmitz, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2005\u003c/span\u003e). Between 11\u0026ndash;44% of epilepsy patients suffer from depression, whereas about half of TLE patients experience emotional disorders. Additionally, more than one-third of patients with cervical spondylotic myelopathy (CSM) report depressive or anxious feelings; these negative emotions closely linked to decreased activity levels(de Oliveira et al., \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2010\u003c/span\u003e). Brain lesions can also result in secondary mania, with acute brain injuries, chronic neurological diseases, and neurosurgical interventions all associated with manic symptoms.\u003c/p\u003e \u003cp\u003eConversely, there is evidence suggesting that emotional disorders might predispose individuals to neurological diseases. A study on cerebrospinal fluid biomarkers in patients with major depression identified 11 characteristic proteins and 144 peptides consisting a signature atlas expressed alternatively from those in healthy controls. These biomarkers linked substantially to brain metabolism or central nervous system diseases. A meta-analysis also found increased total protein levels in patients with affective disorders, indicating blood-brain barrier dysfunction and central nervous system inflammation, suggesting rising prevalence of neurological diseases caused by depression(de Oliveira et al., \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2010\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eNevertheless, research evidence regarding the causal relationship between various neurological disorders and common emotional disorders are scattered and inconclusive. Using Mendelian randomization, we therefore performed this bidirectional two-sample MR analysis to reveal their causal relationships respectively.\u003c/p\u003e"},{"header":"2 Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1 | Data sources\u003c/h2\u003e \u003cp\u003eThe GWAS data involved 17 types of neurosurgical diseases, including cerebrovascular diseases, functional diseases, central nervous system neoplasms, spinal and spinal cord disease and other brain diseases alike. Three principal emotional disorders (anxiety, mania and depression) with their subtypes were from two modern independent cohorts, IEU open GWAS and FinnGen. The detailed information was presented in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e. Their data could be obtained from the websites (IEU open GWAS \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://gwas.mrcieu.ac.uk\u003c/span\u003e\u003cspan address=\"https://gwas.mrcieu.ac.uk\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e; FinnGen \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.finngen.fi/en/access_results\u003c/span\u003e\u003cspan address=\"https://www.finngen.fi/en/access_results\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e ). In each MR analysis, no overlap was identified in the exposure and the outcome. We report the analysis following strobe-mr guideline.\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\u003eSummary of genetic data information utilized in the study.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"8\"\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=\"char\" char=\".\" 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=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" 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 \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCategory\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\u003eNumber of case\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eNumber of controls\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003ePopulation\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eYear\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eConsortium\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003ep\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"3\" rowspan=\"4\"\u003e \u003cp\u003eFunctional diseases\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003esevere traumatic brain injury, does not include concussion\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e7430\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e404751\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eEuropean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2023\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003efinngen\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5e-8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eParkinson's disease\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4681\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e407500\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eEuropean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2023\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003efinngen\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5e-8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eEpilepsy\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e12891\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e312803\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eEuropean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2023\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003efinngen\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5e-8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTrigeminal neuralgia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1777\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e360538\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eEuropean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2023\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003efinngen\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5e-8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"4\" rowspan=\"5\"\u003e \u003cp\u003eCerebrovascular diseases\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTransient ischemic attack\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e19930\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e374310\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eEuropean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2023\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003efinngen\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5e-8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCerebral infarction\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1420\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e461590\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eEuropean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2018\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eukb-b-19350\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5e-6\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAneurysms, operations, SAH\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5754\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e374631\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eEuropean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2023\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003efinngen\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5e-8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCerebral aneurysm, nonruptured\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2784\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e374631\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eEuropean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2023\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003efinngen\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5e-8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eIntracerebral hemorrhage\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1935\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e471578\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eEuropean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2021\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eebi-a-GCST90018870\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5e-6\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"4\" rowspan=\"5\"\u003e \u003cp\u003eCentral nervous system\u003c/p\u003e \u003cp\u003eneoplasms\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMalignant neoplasm of brain and other parts\u003c/p\u003e \u003cp\u003eof CNS\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e816\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e314193\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eEuropean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2023\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003efinngen\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5e-8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBenign neoplasm of brain and other parts of central nervous system\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1917\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e410264\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eEuropean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2023\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003efinngen\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5e-8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBenign neoplasm: Pituitary gland, craniopharyngeal duct\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1508\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e410673\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eEuropean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2023\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003efinngen\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5e-8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBrain meningioma (controls excluding all cancers)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1316\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e313392\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eEuropean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2023\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003efinngen\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5e-8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBrain glioblastoma (controls excluding all cancers)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e253\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e314393\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eEuropean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2023\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003efinngen\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5e-8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eOther brain diseases\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eHydrocephalus\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2455\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e382198\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eEuropean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2023\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003efinngen\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5e-8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCongenital malforma\u003c/p\u003e \u003cp\u003etions of the nervous\u003c/p\u003e \u003cp\u003esystem\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e637\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e411544\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eEuropean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2023\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003efinngen\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5e-6\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSpinal and spinal cord disease\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCervical spondylosis\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e3352\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e481256\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eEuropean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2021\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eebi-a-GCST90038693\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5e-8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"6\" rowspan=\"7\"\u003e \u003cp\u003eEmotional disorders\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eanxious\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e255812\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e194953\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eEuropean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2018\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eukb-b-6519\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5e-8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eDepression (broad)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e113769\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e208811\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eEuropean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2018\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eebi-a-GCS005902\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5e-8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eManifestations of mania or irritability: I was more restless than usual\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e12876\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e101546\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eEuropean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2018\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eukb-d-205482\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5e-8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNon-cancer illness code self-reported: mania/bipolar disorder/manic depression\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e902\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e336,257\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eEuropean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2017\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eukb-a-83\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5e-8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003edepression\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2149\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e246352\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eEuropean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2023\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003efinngen\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5e-8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eanxious\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e27664\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e368054\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eEuropean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2023\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003efinngen\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5e-8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003emania\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e992\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e359290\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eEuropean\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e2023\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003efinngen\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5e-8\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 \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e2.2 | Instrumental variable 2.2 IVS selection\u003c/h2\u003e \u003cp\u003eWe utilized the \u0026ldquo;extract_instruments\u0026rdquo; function from the R package \u0026ldquo;TwoSampleMR\u0026rdquo; to interpret the exposure factors and IVs were determined by the relevance of SNPs to those factors (p\u0026thinsp;\u0026lt;\u0026thinsp;5\u0026times;10\u0026thinsp;\u0026minus;\u0026thinsp;8 ). If no corresponding SNP be present in either disease category, we adjusted the P-value threshold to p\u0026thinsp;\u0026lt;\u0026thinsp;5\u0026times; 10\u0026thinsp;\u0026minus;\u0026thinsp;5. The exclusion of SNPs relied on the exhibition of linkage disequilibrium regardless of the p value threshold (clump\u0026thinsp;=\u0026thinsp;TRUE, r2\u0026thinsp;=\u0026thinsp;0.001, kb\u0026thinsp;=\u0026thinsp;10,000). We also eliminated those with strong associations with the outcomes from the identification of genome-wide association study (GWAS) data. In the forward MR analysis, the exposure factor was Neurosurgical diseases, and the outcome was Emotional disorders; whereas they were reciprocated in the reverse analysis. To endorse the robustness of our method, we computed the F-statistics for each genetic instrument. An F-value exceeding 10 was regarded as indicative of a minimal likelihood of bias resulting from weak instruments. The F-statistics were calculated as F=\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:\\frac{R2}{1-R2}\\)\u003c/span\u003e\u003c/span\u003e \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:\\times\\:\\)\u003c/span\u003e\u003c/span\u003e(N-2) and R2=\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:\\frac{\\beta\\:2}{\\beta\\:2+se2\\times\\:\\text{N}}\\)\u003c/span\u003e\u003c/span\u003e, R2 means variance of exposure explained by instrument variable; N indicates sample size;βindicated effect size for the genetic variant of interest; se indicated a standard error for b; N indicated sample size(Luo et al., \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2023\u003c/span\u003e).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e2.3 | MR analysis\u003c/h2\u003e \u003cp\u003eThree MR methods were used to provide robust MR estimates: Inverse-Variance Weighted (IVW) (Burgess et al., \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2013\u003c/span\u003e), MR‐Egger(Fujii et al., \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2024\u003c/span\u003e), Weighted Median(Bowden et al., \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2015\u003c/span\u003e). The IVW method was chosen as the primary analytical approach due to its distinguished recommendation and the remaining three were to enhance the robustness of the estimates. In the IVW analysis, the MR estimates was derived from the weighted regression slope reflecting the effect of neurosurgical disease-related SNP on those corresponded to emotional disorder, with the intercept fixed at zero to ensure accuracy. Even in senarios of up to 50% of invalidity presented in the instrumental variables, weighted median still sustained consistency on the estimate of causality. The MR-Egger method was predicated on the assumption of no directed pleiotropy in the SNP-exposure effects (Bowden et al., \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2015\u003c/span\u003e). The MR‐PRESSO method detected potential horizontal pleiotropic effects of SNPs for the correction of possible outliers (Verbanck et al., \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). All results were presented as odds ratio (OR) and 95% confidence interval (95% CI), representing the risks of emotional disorders for patients with neurological disorders compared to those without them. Since our data included 17 neurosurgical diseases, we used Bonferroni correction to adjust the significance threshold and set it to 0.05/17 for multiple analyses.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003e2.4 | Sensitivity analysis\u003c/h2\u003e \u003cp\u003eIn an MR study, three main assumptions must be met to generate robust causal estimates: (1) the selected genetic variant is strongly associated with exposure, (2) the genetic variant is not associated with any confounding factors for exposure and outcome, and (3) the genetic variant should independently affect the outcome through exposure only but not by any other causal pathway (Boef et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2015\u003c/span\u003e). The robustness of instrumental variables satisfied the fist assumption, while the second one was fulfied by the random and environment-independent assignment of SNPs during pregnancy. The performance of a sensitivity analysis using MR-Steiger acted as the assessment of the third assumption and the possible effect of horizontal pleiotropy. Scatter plots were utilized to offer a intuitive interpretation of the data from a two-sample MR study. We also conducted several rigorous tests, including the MR-Egger regression intercept test, MR-PRESSO, leave-one-out analysis, and funnel plots, each contributing to a thorough examination of the data's integrity. The implementation of Cochran's Q test next aimed to filter heterogeneity (Burgess and Thompson, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2017\u003c/span\u003e). Following the exclusion of SNPs associated with potential confounders of genome-wide significance, the ascertainment of solid causal effects were verified by reperforming the MR analyses.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003e2.5 | Statistics analysis\u003c/h2\u003e \u003cp\u003eAll analyses were conducted using the TwoSampleMR (version 0.4.25) and MR-PRESSO (version 1.0) packages in R (version 3.6.1). Two‐sided p\u0026thinsp;\u0026lt;\u0026thinsp;0.05 was considered significant. In this study it was not the goal to set a particular threshold of p-value but rather find the causal relationship between different neurosurgical and emotional disorders.\u003c/p\u003e \u003c/div\u003e"},{"header":"3 RESULTS","content":"\u003cp\u003eWe conducted bidirectional Mendelian randomization between 17 common Neurosurgical diseases and 3 Emotional disorders. Following filtration, 3 to 25 independent SNPs of neurosurgical diseases and 1 to 12 independent SNPs of emotional disorders were identified as IVs (Supplementary Table \u003cspan refid=\"MOESM1\" class=\"InternalRef\"\u003eS1\u003c/span\u003e\u0026amp;S5). Our research results showed a significant correlation between trigeminal neuralgia and mania, congenital malformations of nervous system and depression(broad), depression and transient ischemic stroke in the circumstance of no correction. No causal relationship was found in other studies (Supplementary Table \u003cspan refid=\"MOESM2\" class=\"InternalRef\"\u003eS2\u003c/span\u003e-S4, S6-S8).\u003c/p\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003e3.1 |Association between Trigeminal neuralgia and mania\u003c/h2\u003e \u003cp\u003eThe IVW method established causality of trigeminal neuralgia with manifestations of mania or irritability (p\u0026thinsp;=\u0026thinsp;0.002) (odds ratio [OR]\u0026thinsp;=\u0026thinsp;1.008, 95% confidence interval [CI]\u0026thinsp;=\u0026thinsp;1.003 to 1.014). The results weighted median and MR-egger purported insignificant tendency of the same causal effect, suggesting trigeminal neuralgia as a risk factor for mania with a positive slope based on the IVW method. Cochrane\u0026rsquo;s Q test identified no heterogeneity in the data (P\u0026thinsp;=\u0026thinsp;0.711), the MR-Egger intercept revealed no evidence of directional pleiotropy regarding trigeminal neuralgia and mania (P\u0026thinsp;=\u0026thinsp;0.371) (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e, Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e, Fig.\u0026nbsp;2A, Supplementary Fig.\u0026nbsp;1A).\u003c/p\u003e \n\u003cp\u003eTABLE 2.\u0026nbsp;MR analyses of the effect of Neurosurgical diseases on Emotional disorders and Emotional disorders on Neurosurgical diseases.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" style=\"width: 517px; height: 173.28px;\" width=\"517\" height=\"173.28\"\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003eTABLE 3. Tests of heterogeneity, pleiotropy\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" style=\"width: 495px; height: 175.043px;\" width=\"495\" height=\"175.043\"\u003e\u003c/p\u003e\n\u003cp\u003eThe P value of reverse Wald Ratio estimates was greater than 0.05, indicating no statistical significance in the reverse MR of mania and trigeminal neuralgia (p\u0026thinsp;=\u0026thinsp;0.613) (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). Given that only one SNP was associated with exposure, there was no heterogeneity, directional pleiotropy or point of severe bias detected. In summary, our results unraveled that trigeminal neuralgia was a risk factor for mania whereas no causal effect of mania on trigeminal neuralgia was found.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003e3.2 | Association between congenital malformations of nervous system and\u003c/h2\u003e \u003cp\u003edepression(broad)\u003c/p\u003e \u003cp\u003eThe results of IVW method indicated that a higher genetic predisposition to congenital malformations of nervous system might reduce the development of depression (odds ratio (OR)\u0026thinsp;=\u0026thinsp;0.996; 95% confidence interval [CI]\u0026thinsp;=\u0026thinsp;0.992 to 0.998; P\u0026thinsp;=\u0026thinsp;0.002). Cochrane\u0026rsquo;s Q test showed no heterogeneity in the data (P\u0026thinsp;=\u0026thinsp;0.574). Moreover, the MR-Egger intercept revealed no evidence of directional pleiotropy between congenital malformations of nervous system and depression (broad) (P\u0026thinsp;=\u0026thinsp;0.120). Since \"congenital malformations of nervous system\" represented a neurological manifestation and should not be considered as an outcome, we did not perform a Mendelian analysis for depression and congenital malformations of nervous system (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e, Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e, Fig.\u0026nbsp;2B, Supplementary Fig.\u0026nbsp;1B).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003e3.3 | Association between depression and transient ischemic attack\u003c/h2\u003e \u003cp\u003eThe primary MR using IVW estimated no statistically significant effect of transient ischemic attack on depression (P\u0026thinsp;=\u0026thinsp;0.398, odds ratio [OR]\u0026thinsp;=\u0026thinsp;0.995, 95% confidence interval [CI] 0.984 to 1.006) (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). No horizontal pleiotropy (P\u0026thinsp;=\u0026thinsp;0.237) or point of severe bias was detected (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e), neither did any evidence of directional pleiotropy revealed in the MR-Egger intercept regarding transient ischemic stroke and depression(P\u0026thinsp;=\u0026thinsp;0.990) (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e, Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e, Fig.\u0026nbsp;2C, Supplementary Fig.\u0026nbsp;1C)\u003c/p\u003e \u003cp\u003eHowever, the reverse MR analysis denoted the causal effect of depression on transient ischemic attack (IVW, P\u0026thinsp;=\u0026thinsp;0.004, odds ratio (OR)\u0026thinsp;=\u0026thinsp;4.141; 95% confidence interval [CI]\u0026thinsp;=\u0026thinsp;1.560 to 10.988; P\u0026thinsp;=\u0026thinsp;0.004), although the P value did not meet the Bonferroni correction for multiple tests. No horizontal pleiotropy (P\u0026thinsp;=\u0026thinsp;0.724) or point of severe bias was detected. The MR-Egger intercept revealed no evidence of directional pleiotropy concerning depression and ischemic stroke (P\u0026thinsp;=\u0026thinsp;0.973). In summary, our results inclined to increased risk of transient ischemic attack by depression.(Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e, Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e, Fig.\u0026nbsp;2D, Supplementary Fig.\u0026nbsp;1D)\u003c/p\u003e \u003c/div\u003e"},{"header":"4 Discussion","content":"\u003cp\u003eIn this study, the MR analysis was used to assess whether there is a bidirectional causal association between 17 neurosurgical diseases and 3 emotional disorders. The results showed that there were causal associations between trigeminal neuralgia and mania, depression and transient ischemic attack, and congenital malformations of nervous system and depression(broad). Trigeminal neuralgia particularly increased the risk of mania; and likewise, similar circumstance applied to depression on transient ischemic attack.\u003c/p\u003e \u003cp\u003eIn clinical practice, it is a common observation that patients suffering from trigeminal neuralgia (TN) frequently exhibit symptoms of depression and anxiety (Stubbs et al., \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2017\u003c/span\u003e). However, the exploration into whether trigeminal neuralgia can precipitate manic episodes has been notably sparse. Additionally, in cases where patients do experience manic episodes, trigeminal neuralgia is rarely considered as the principal trigger. As a chronic neurological disorder, trigeminal neuralgia is intricately linked to neurovascular compression (NVC) of the trigeminal nerve near its entry site into the spine(Cheshire, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2007\u003c/span\u003e; Truini et al., \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2005\u003c/span\u003e). Carbamazepine, a traditional medication widely used in the treatment of trigeminal neuralgia(Peterson-Houle et al., \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2021\u003c/span\u003e), has also demonstrated efficacy in the treatment of various psychiatric disorders, such as both acute and chronic management of bipolar disorder. This dual utility hints at a potential connection between trigeminal neuralgia and the occurrence of manic episodes (Denicoff et al., \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e1994\u003c/span\u003e). The amygdala, being a crucial hub within the emotion-related network, plays a crucial role in stress regulation. Research has shown that in patients suffering from depression, there is a marked reduction in the functional connectivity (FC) of the right lateral amygdala with the right anterior and right posterior hippocampus. Conversely, in patients experiencing manic episodes, there is an increase in connectivity within the left medial amygdala and the left nucleus accumbens shell. Another groundbreaking study employing ultra-high-field MRI techniques revealed significant structural changes in the trigeminal nerve, hippocampus, amygdala, and thalamic subregions in TN patients(Zhang et al., \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2018\u003c/span\u003e); specifically, the basal nuclei of the amygdala on the symptomatic side were smaller in patients with classic paroxysmal trigeminal neuralgia compared to the control group (Alper et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Further research into the dysregulation of pain and emotion-related networks in trigeminal neuralgia has uncovered a reduction in gray matter volume within the bilateral amygdala, periaqueductal gray (PAG), and right insula of TN patients. These discoveries underscore the presence of profound structural and functional deficiencies within the emotion-related networks of those afflicted with TN. Such evidence implies the notion that the neurobiological underpinnings of TN encompass a complex interplay between local structural alterations within the trigeminal nerve and subnuclear changes in limbic structures, collectively suggesting that the amygdala may serve as a critical bridge linking trigeminal neuralgia with emotional disorders.\u003c/p\u003e \u003cp\u003eFurthermore, extensive cerebral changes of structure in patients with classic trigeminal neuralgia (CTN) had also been reported (Liu et al., \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). One study that evaluated MRI changes in trigeminal neuralgia (TN) patients found cortex thinning in the bilateral temporal lobes, frontal lobes, cingulate gyrus, somatosensory and occipital regions (Liu et al., \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Patients with bipolar disorder often experience alternatively manic and depressive episodes. Research indicates that bipolar disorder is primarily associated with structural abnormalities in the brain, particularly in the prefrontal and temporal cortices, cingulate gyrus, and subcortical regions. Manic episodes are linked to increased cortical volume and reduced thickness in certain brain regions, especially in the prefrontal cortex(Ab\u0026eacute; et al., \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). This was further supported by the largest longitudinal MRI study on bipolar disorder to date, which analyzed extensive imaging data and found that abnormal thinning of the frontal cortex associated with frequent manic episodes. These findings suggest that long-term trigeminal neuralgia patients may experience changes in the prefrontal cortex, leading to the influence of the emotion regulation network and uncontrollable manic reactions. In addition, a recent study in mice identified a dedicated neural circuit from the ventral hippocampus (vHPC) to the medial prefrontal cortex (mPFC) that mediates TN-related emotional changes. Although blocking this pathway primarily inhibited depressive and anxiety-like behaviors in mice (Lv et al., \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2024\u003c/span\u003e), the involvement of the prefrontal cortex suggested that this neural circuit might also play a role in manic episodes.\u003c/p\u003e \u003cp\u003eCentral nervous system (CNS) malformations can be broadly classified into cranial nervous system malformations and brain developmental abnormalities. Cranial nervous system malformations encompass conditions such as spina bifida, hydrocephalus, anencephaly, and encephalocele. Brain developmental abnormalities include holoprosencephaly, brain dysplasia, Dandy-Walker syndrome, and agenesis of the corpus callosum(Verity et al., \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2003\u003c/span\u003e). These malformations often result from a variety of factors, including genetic, environmental, and pharmaceutical influences(Poe et al., \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e1989\u003c/span\u003e), they impact the embryo during its developmental stages, leading to CNS abnormalities. Such impact on intellectual abilities is profound, often complicating the administration of emotional assessment questionnaires. As a result, there is a paucity of research exploring the link between nervous system malformations and emotional disorders. Our study has denoted an insight that nervous system malformations may reduce the incidence of depression. However, the underlying mechanisms remain elusive and warrant further investigation.\u003c/p\u003e \u003cp\u003eThe classic definition of TIA is a sudden, focal neu-rologic deficit that lasts for less than 24 hours, is pre-sumed to be of vascular origin, and is confined to an area of the brain or eye perfused by a specific artery(Albers et al., \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2002\u003c/span\u003e), affecting 46 000 people forhe first time in the UK every year(The, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). A comprehensive population-based cohort study investigated the effect of emotional stress on the incidence of cardiovascular events using standard psychological questionnaires, with follow-up periods up to 8.5 years. It revealed that higher levels of stress, hostility, and depressive symptoms were significantly associated with an increased risk of stroke or TIA in middle-aged and older adults (Everson-Rose et al., \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Hering et al., \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2015\u003c/span\u003e). Another prospective population study on stroke incidence indicated that depression could increase the likelihood of stroke by up to 35% (Wadley et al., \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2007\u003c/span\u003e). Many patients with TIA generally exhibit a spectrum of anxiety or depression-like behaviors(El Husseini et al., \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2012\u003c/span\u003e; Luijendijk et al., \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2011\u003c/span\u003e), as TIA can lead to long-term neurological issues due to increased nitrosative stress (Tomas-Sanchez et al., \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). However, there is a lack of sufficient prospective research to support whether depression can directly cause TIA. Our research indicated that while depression indeed heightened the risk of TIA, the occurrence of TIA did not reciprocally increase the risk of depression. This discrepancy might be attributed to the brief duration of TIA episodes and the insufficient intensity and duration of nitrosative stress to provoke depression. To thoroughly understand the intricate relationship between depression and TIA, larger and more comprehensive prospective studies are essential. Such studies would be instrumental in verifying their causal associations.\u003c/p\u003e \u003cp\u003eMendelian randomization offers an alternative to traditional randomized controlled trials to evaluate causal relationships by bypassing ethical constraints. This approach bolsters the hypothesis of a causal link between neurological disorders and emotional diseases, potentially paving the way for innovative preventive strategies for both conditions. However, our study is not without its limitations. Primarily, our research was restricted to individuals of European ancestry. While this minimized bias from population stratification, it also limited the applicability of our findings to other racial and ethnic groups. Furthermore, like all Mendelian randomization studies, we could not entirely address unobserved pleiotropy, which might likely introduce bias into our results. Therefore, extensive randomized controlled trials remain essential to further investigate the intricate relationship between neurological disorders and psychiatric conditions.\u003c/p\u003e"},{"header":"5 Conclusion","content":"\u003cp\u003eIn summary, our study identified causal relationships between neurological diseases (trigeminal neuralgia, CNS malformation and transient ischemic stroke) and emotional disorders (mania and depression); trigeminal neuralgia and congenital malformation of the nervous system predispose patients to emotional disorders, whereas depression in particular causes vulnerability to transient ischemic stroke. Proactive intervention in managing physical and emotional conditions potentially reduces their likelihoods of occurrence. This highlights the necessity for an integrated and holistic approach to patient care so to achieve ideal outcomes in healthcare.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNo applicable.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNo applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCRediT authorship contribution statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eHaonan Chen\u003c/strong\u003e: Resources, Project administration, Methodology, Investigation, Formal analysis, Data curation. \u003cstrong\u003eRenhao Zhang\u003c/strong\u003e : Resources, Data curation. \u003cstrong\u003eXinjie Wen\u003c/strong\u003e: Methodology, Investigation, Data curation.\u0026nbsp;\u003cstrong\u003eDongqi Shao\u003c/strong\u003e:Methodology, Investigation. \u003cstrong\u003eQiang Fu\u003c/strong\u003e: Resources, Project administration, \u003cstrong\u003eShichao Yin\u003c/strong\u003e: Data curation, Software. \u003cstrong\u003eYifan Lv\u003c/strong\u003e: Formal analysis, Supervision. \u003cstrong\u003eTao Sun\u003c/strong\u003e: Writing – review \u0026amp; editing, Writing – original draft, Conceptualization.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDeclaration of competing interest\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare no conflicts of interest related to this study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eI would first like to thank my supervisors, Tao Sun, whose expertise was invaluable in formulating the research questions and methodology. I would particularly like to appreciate my groupmates for their wonderful collaboration and patient support.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eAb\u0026eacute;, C., Liberg, B., Klahn, A.L., Petrovic, P., Land\u0026eacute;n, M., 2023. Mania-related effects on structural brain changes in bipolar disorder - a narrative review of the evidence. Mol Psychiatry 28, 2674-2682.\u003c/li\u003e\n\u003cli\u003eAlbers, G.W., Caplan, L.R., Easton, J.D., Fayad, P.B., Mohr, J.P., Saver, J.L., Sherman, D.G., 2002. Transient ischemic attack--proposal for a new definition. N Engl J Med 347, 1713-1716.\u003c/li\u003e\n\u003cli\u003eAlper, J., Seifert, A.C., Verma, G., Huang, K.H., Jacob, Y., Al Qadi, A., Rutland, J.W., Patel, S., Bederson, J., Shrivastava, R.K., Delman, B.N., Balchandani, P., 2021. Leveraging high-resolution 7-tesla MRI to derive quantitative metrics for the trigeminal nerve and subnuclei of limbic structures in trigeminal neuralgia. 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Kidney Int Rep 9, 1083-1092.\u003c/li\u003e\n\u003cli\u003eGjerde, P.B., Litleskare, S., Lura, N.G., Tangen, T., Helland, C.A., Wester, K., 2019. Anxiety and Depression in Patients with Intracranial Arachnoid Cysts-A Prospective Study. World Neurosurg 132, e645-e653.\u003c/li\u003e\n\u003cli\u003eHering, D., Lachowska, K., Schlaich, M., 2015. Role of the Sympathetic Nervous System in Stress-Mediated Cardiovascular Disease. Curr Hypertens Rep 17, 80.\u003c/li\u003e\n\u003cli\u003eHuttner, H.B., Schwab, S., 2009. Malignant middle cerebral artery infarction: clinical characteristics, treatment strategies, and future perspectives. Lancet Neurol 8, 949-958.\u003c/li\u003e\n\u003cli\u003eLiu, F., Yao, Y., Zhu, B., Yu, Y., Ren, R., Hu, Y., 2024. The novel imaging methods in diagnosis and assessment of cerebrovascular diseases: an overview. Front Med (Lausanne) 11, 1269742.\u003c/li\u003e\n\u003cli\u003eLiu, H., Zheng, R., Zhang, Y., Zhang, B., Hou, H., Cheng, J., Han, S., 2022. Alterations of degree centrality and functional connectivity in classic trigeminal neuralgia. Front Neurosci 16, 1090462.\u003c/li\u003e\n\u003cli\u003eLuijendijk, H.J., Stricker, B.H., Wieberdink, R.G., Koudstaal, P.J., Hofman, A., Breteler, M.M., Tiemeier, H., 2011. Transient ischemic attack and incident depression. Stroke 42, 1857-1861.\u003c/li\u003e\n\u003cli\u003eLuo, S., Li, W., Li, Q., Zhang, M., Wang, X., Wu, S., Li, Y., 2023. Causal effects of gut microbiota on the risk of periodontitis: a two-sample Mendelian randomization study. Front Cell Infect Microbiol 13, 1160993.\u003c/li\u003e\n\u003cli\u003eLv, S.S., Lv, X.J., Cai, Y.Q., Hou, X.Y., Zhang, Z.Z., Wang, G.H., Chen, L.Q., Lv, N., Zhang, Y.Q., 2024. Corticotropin-releasing hormone neurons control trigeminal neuralgia-induced anxiodepression via a hippocampus-to-prefrontal circuit. Sci Adv 10, eadj4196.\u003c/li\u003e\n\u003cli\u003ePeterson-Houle, G.M., AbdelFattah, M.R., Padilla, M., Enciso, R., 2021. 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Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases. Nat Genet 50, 693-698.\u003c/li\u003e\n\u003cli\u003eVerity, C., Firth, H., ffrench-Constant, C., 2003. Congenital abnormalities of the central nervous system. J Neurol Neurosurg Psychiatry 74 Suppl 1, i3-8.\u003c/li\u003e\n\u003cli\u003eWadley, V.G., McClure, L.A., Howard, V.J., Unverzagt, F.W., Go, R.C., Moy, C.S., Crowther, M.R., Gomez, C.R., Howard, G., 2007. Cognitive status, stroke symptom reports, and modifiable risk factors among individuals with no diagnosis of stroke or transient ischemic attack in the REasons for Geographic and Racial Differences in Stroke (REGARDS) Study. Stroke 38, 1143-1147.\u003c/li\u003e\n\u003cli\u003eZhang, Y., Mao, Z., Pan, L., Ling, Z., Liu, X., Zhang, J., Yu, X., 2018. Dysregulation of Pain- and Emotion-Related Networks in Trigeminal Neuralgia. Front Hum Neurosci 12, 107.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"neurosurgical diseases, emotional disorders, Mendelian randomization, causality.","lastPublishedDoi":"10.21203/rs.3.rs-4869584/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4869584/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAlthough numerous studies have reported correlations between emotional disorders and neurosurgical conditions, their causal relationships is not convincing. Therefore, we seek to comprehensively investigate the connection between the two using bidirectional Mendelian randomization studies.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethods \u003c/strong\u003eThe GWAS aggregated data encompassed 17 types of neurosurgical diseases (including cerebrovascular diseases, functional disorders, central nervous system neoplasms, spinal and spinal cord diseases, and other brain conditions) and 3 emotional disorders (anxiety, mania, and depression), sourced from IEU and FINNGEN. The primary analysis method applied was inverse variance-weighted (IVW) analysis, supplemented by MR-Egger and weighted median methods to ensure robust estimates. A series of sensitivity analyses, including Cochran’s Q test, MR-Egger regression, and leave-one-out analysis, were conducted to detect pleiotropy or heterogeneity.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults \u003c/strong\u003e\u0026nbsp;IVW estimates indicated that trigeminal neuralgia significantly associated with the risk of mania (p=0.002, odds ratio [OR]=1.008, 95 % confidence interval [CI] = 1.003 to 1.014), a higher genetic predisposition to congenital malformations of nervous system may reduce the development of depression (p=0.002, OR= 0.996; 95 %CI = 0.992 to 0.998) and the causal effect of depression on transient ischemic attack (IVW, P=0.004, odds ratio (p=0.004, OR = 4.141; 95 %CI = 1.560 to 10.988). The results of comprehensive sensitivity analyses were consistent with the main causality estimate. No pleiotropy and heterogeneity were detected in our MR study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusions\u003c/strong\u003e Our large-scaled MR analysis indicated that trigeminal neuralgia and congenital malformations of the nervous system predispose patients to emotional disorders, while depression, in particular, increases vulnerability to transient ischemic stroke.\u003c/p\u003e","manuscriptTitle":"Bi-directional causal association between 17 neurosurgical diseases and three emotional disorders: perspective from Mendelian randomization analysis","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-09-16 01:01:25","doi":"10.21203/rs.3.rs-4869584/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"ea90260a-8585-4f26-aa03-e62c14defe81","owner":[],"postedDate":"September 16th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-07-30T05:53:46+00:00","versionOfRecord":[],"versionCreatedAt":"2024-09-16 01:01:25","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4869584","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4869584","identity":"rs-4869584","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}