Gray matter abnormalities in patients with major depressive disorder and social anxiety disorder: a voxel-based meta-analysis

Author:

Liang Junquan,Yu Qiaoyun,Liu Yuchen,Qiu Yidan,Tang Rundong,Yan Luda,Zhou Peng

Abstract

Abstract Background Major depressive and social anxiety disorders have a high comorbidity rate and similar cognitive patterns. However, their unique and shared neuroanatomical characteristics have not been fully identified. Methods Voxel-based morphometric studies comparing gray matter volume between patients with major depressive disorder/social anxiety disorder and healthy controls were searched using 4 electronic databases from the inception to March 2022. Stereotactic data were extracted and subsequently tested for convergence and differences using activation likelihood estimation. In addition, based on the result of the meta-analysis, behavioral analysis was performed to assess the functional roles of the regions affected by major depressive disorder and/or social anxiety disorder. Results In total, 34 studies on major depressive disorder with 2873 participants, and 10 studies on social anxiety disorder with 1004 subjects were included. Gray matter volume conjunction analysis showed that the right parahippocampal gyrus region, especially the amygdala, was smaller in patients compared to healthy controls. The contrast analysis of major depressive disorder and social anxiety disorder revealed lower gray matter volume in the right lentiform nucleus and medial frontal gyrus in social anxiety disorder and lower gray matter volume in the left parahippocampal gyrus in major depressive disorder. Behavioral analysis showed that regions with lower gray matter volume in social anxiety disorder are strongly associated with negative emotional processes. Conclusions The shared and unique patterns of gray matter volume abnormalities in patients with major depressive and social anxiety disorder may be linked to the underlying neuropathogenesis of these mental illnesses and provide potential biomarkers. PROSPERO registration number: CRD42021277546.

Funder

Shenzhen Bao'an Research Center for Acupuncture and Moxibustion

Sanming Project of Medicine in Shenzhen

Publisher

Springer Science and Business Media LLC

Subject

Behavioral Neuroscience,Psychiatry and Mental health,Cellular and Molecular Neuroscience,Neurology (clinical),Cognitive Neuroscience,Neurology,Radiology, Nuclear Medicine and imaging

Reference74 articles.

1. Adams, G. C., Balbuena, L., Meng, X., & Asmundson, G. J. (2016). When social anxiety and depression go together: A population study of comorbidity and associated consequences. Journal of Affective Disorders, 206, 48–54. https://doi.org/10.1016/j.jad.2016.07.031

2. Alemany, S., Mas, A., Goldberg, X., Falcón, C., Fatjó-Vilas, M., Arias, B., Bargalló, N., Nenadic, I., Gastó, C., & Fañanás, L. (2013). Regional gray matter reductions are associated with genetic liability for anxiety and depression: An MRI twin study. Journal of Affective Disorders, 149(1–3), 175–181. https://doi.org/10.1016/j.jad.2013.01.019

3. Arditte Hall, K. A., Quinn, M. E., Vanderlind, W. M., & Joormann, J. (2019). Comparing cognitive styles in social anxiety and major depressive disorders: An examination of rumination, worry, and reappraisal. British Journal of Clinical Psychology, 58(2), 231–244. https://doi.org/10.1111/bjc.12210

4. Arnone, D., McKie, S., Elliott, R., Juhasz, G., Thomas, E. J., Downey, D., Williams, S., Deakin, J. F., & Anderson, I. M. (2013). State-dependent changes in hippocampal grey matter in depression. Molecular Psychiatry, 18(12), 1265–1272. https://doi.org/10.1038/mp.2012.150

5. Bas-Hoogendam, J. M., van Steenbergen, H., Nienke Pannekoek, J., Fouche, J. P., Lochner, C., Hattingh, C. J., Cremers, H. R., Furmark, T., Månsson, K. N. T., Frick, A., Engman, J., Boraxbekk, C. J., Carlbring, P., Andersson, G., Fredrikson, M., Straube, T., Peterburs, J., Klumpp, H., Phan, K. L., … van der Wee, N. J. A. (2017). Voxel-based morphometry multi-center mega-analysis of brain structure in social anxiety disorder. Neuroimage Clin, 16, 678–688. https://doi.org/10.1016/j.nicl.2017.08.001

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3