Abnormal Spontaneous Brain Activity in Alcohol Use Disorder Patients: An SDM Meta-Analysis Based on Resting-State fMRI

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Background: Previous neuroimaging studies have revealed abnormal functional activity in multiple brain regions among individuals with alcohol use disorder (AUD). However, due to the heterogeneity in study designs, these findings lack consistency, leaving the core neuropathological mechanisms of AUD unclear to date. To address this, we conducted a quantitative whole-brain meta-analysis of relevant resting-state functional imaging data to identify persistent brain region characteristics in individuals with AUD. Method: A systematic literature search was conducted across six databases from their inception to August 8, 2025. Subsequently, a meta-analysis employing the Anomaly Effect Size-Marked Difference Mapping (AES-SDM) method was performed to identify abnormal brain activity patterns in patients with alcohol use disorder. This was supplemented by Jackknife sensitivity analysis, heterogeneity testing, publication bias assessment, subgroup analysis, and meta-regression analysis. Results: A total of 16 articles (20 datasets) were included, involving 520 patients with AUD and 523 healthy controls (HCs). SDM meta-analysis revealed enhanced functional activity in the right pars opercularis of the inferior frontal gyrus of AUD patients compared to healthy controls, while reduced functional activity was observed in the bilateral postcentral gyrus and left precuneus. Sensitivity analyses and subgroup analyses demonstrated high robustness across all regions. Meta-regression analysis indicated that reduced activity in the left posterior central gyrus was significantly correlated with AUD severity and moderated by age. Conclusion: This study shows AUD patients have abnormal activity in brain regions linked to sensory processing, emotional regulation, and self-awareness, offering comprehensive insights into AUD’s neuropathology.
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Abnormal Spontaneous Brain Activity in Alcohol Use Disorder Patients: An SDM Meta-Analysis Based on Resting-State fMRI | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL European Journal of Neuroscience This is a preprint and has not been peer reviewed. Data may be preliminary. 28 November 2025 V1 Latest version Share on Abnormal Spontaneous Brain Activity in Alcohol Use Disorder Patients: An SDM Meta-Analysis Based on Resting-State fMRI Authors : Xintong Ran , Wei Zhang , Lv,Minghui , Huang Ranran , Wang,Liping , Guowei Zhang 0009-0005-1228-6522 , and Wang Aijie 0009-0004-1993-4695 [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.176433872.27497764/v1 Published European Journal of Neuroscience Version of record Peer review timeline 240 views 186 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Background: Previous neuroimaging studies have revealed abnormal functional activity in multiple brain regions among individuals with alcohol use disorder (AUD). However, due to the heterogeneity in study designs, these findings lack consistency, leaving the core neuropathological mechanisms of AUD unclear to date. To address this, we conducted a quantitative whole-brain meta-analysis of relevant resting-state functional imaging data to identify persistent brain region characteristics in individuals with AUD. Method: A systematic literature search was conducted across six databases from their inception to August 8, 2025. Subsequently, a meta-analysis employing the Anomaly Effect Size-Marked Difference Mapping (AES-SDM) method was performed to identify abnormal brain activity patterns in patients with alcohol use disorder. This was supplemented by Jackknife sensitivity analysis, heterogeneity testing, publication bias assessment, subgroup analysis, and meta-regression analysis. Results: A total of 16 articles (20 datasets) were included, involving 520 patients with AUD and 523 healthy controls (HCs). SDM meta-analysis revealed enhanced functional activity in the right pars opercularis of the inferior frontal gyrus of AUD patients compared to healthy controls, while reduced functional activity was observed in the bilateral postcentral gyrus and left precuneus. Sensitivity analyses and subgroup analyses demonstrated high robustness across all regions. Meta-regression analysis indicated that reduced activity in the left posterior central gyrus was significantly correlated with AUD severity and moderated by age. Conclusion: This study shows AUD patients have abnormal activity in brain regions linked to sensory processing, emotional regulation, and self-awareness, offering comprehensive insights into AUD’s neuropathology. [Article Title]: Abnormal Spontaneous Brain Activity in Alcohol Use Disorder Patients: An SDM Meta-Analysis Based on Resting-State fMRI [Author Names]: Xintong Ran 1,# , Wei Zhang 1,# , Minghui Lv 2 , Ranran Huang 2 , Liping Wang 2 , Guowei Zhang 2,* , Aijie Wang 2,* 1 School of Medical Imaging, Binzhou Medical University, Yantai,264000,China. 2 Yantaishan Hospital Affiliated to Binzhou Medical University, PR China. [ # Co-first author]: Xintong Ran,E-mail: [email protected] Wei Zhang,E-mail: [email protected] [*Corresponding author]: Aijie Wang, Department of Radiology, Yantaishan Hospital, No. 10087, Science and Technology Avenue, Laishan District,Yantai,264003,China. E-mail: [email protected] Guowei Zhang, Department of Radiology, Yantaishan Hospital, No. 10087, Science and Technology Avenue, Laishan District,Yantai,264003,China. E-mail: [email protected] [Other author]: Minghui Lv,E-mail: [email protected] Ranran Huang,E-mail: [email protected] Liping Wang,E-mail: [email protected] [Acknowledgments]: The authors would like to thank their colleagues for providing valuable help. [Grant Support]: This study was partially supported by the Shandong province medical and health science and technology project (202409040614). [Conflict of interest disclosure]: The authors declare no conflicts of interest for this work Supplementary Material File (manuscript.docx) Download 1.95 MB Information & Authors Information Version history V1 Version 1 28 November 2025 Peer review timeline Published European Journal of Neuroscience Version of Record 18 Feb 2026 Published Copyright This work is licensed under a Non Exclusive No Reuse License. Collection European Journal of Neuroscience Keywords alcohol use disorder functional neuroimaging meta-analysis resting-state spontaneous brain activity Authors Affiliations Xintong Ran Binzhou Medical University - Yantai Campus View all articles by this author Wei Zhang Binzhou Medical University - Yantai Campus View all articles by this author Lv,Minghui Yantaishan Hospital - East Campus View all articles by this author Huang Ranran Yantaishan Hospital - East Campus View all articles by this author Wang,Liping Yantaishan Hospital - East Campus View all articles by this author Guowei Zhang 0009-0005-1228-6522 Yantaishan Hospital View all articles by this author Wang Aijie 0009-0004-1993-4695 [email protected] Yantaishan Hospital - East Campus View all articles by this author Metrics & Citations Metrics Article Usage 240 views 186 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Xintong Ran, Wei Zhang, Lv,Minghui, et al. Abnormal Spontaneous Brain Activity in Alcohol Use Disorder Patients: An SDM Meta-Analysis Based on Resting-State fMRI. Authorea . 28 November 2025. DOI: https://doi.org/10.22541/au.176433872.27497764/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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