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      Meta-analysis of cortical thickness reduction in adult schizophrenia

      research-article
      , MD, , PhD, , PhD, , PhD, , PhD, , PhD, , PhD
      Journal of Psychiatry & Neuroscience : JPN
      CMA Impact Inc.

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          Abstract

          Background:

          Numerous neuroimaging studies using surface-based morphometry analyses have reported altered cortical thickness among patients with schizophrenia, but the results have been inconsistent. We sought to provide a whole-brain meta-analysis, which may help enhance the spatial accuracy of identification.

          Methods:

          We conducted a meta-analysis of whole-brain studies that explored cortical thickness alteration among adult patients with schizophrenia, including first-episode patients with schizophrenia, and patients with chronic schizophrenia, compared with healthy controls by using the seed-based d mapping with permutation of subject images (SDM-PSI) software.

          Results:

          A systematic literature search identified 25 studies (33 data sets) of cortical thickness, including 2008 patients with schizophrenia and 2004 healthy controls. Overall, patients with schizophrenia showed decreased cortical thickness in the right inferior frontal gyrus (IFG) and bilateral insula extending to the superior temporal gyrus (STG). Subgroup meta-analysis reported that patients with chronic schizophrenia showed decreased cortical thickness in the right insula extending to the right IFG. There was no significant cortical thickness difference between first-episode patients with schizophrenia and healthy controls.

          Limitations:

          The results of meta-regression analyses should be viewed cautiously since they were driven by a small number of studies or did not overlap with the between-group differences found in the primary analyses.

          Conclusion:

          The meta-analysis suggested robust cortical thickness reduction in the IFG, insula and STG among adult patients with schizophrenia, particularly in those with chronic schizophrenia. The results provide useful insights to understanding the underlying pathophysiology of schizophrenia.

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          Most cited references87

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          The PRISMA 2020 statement: an updated guideline for reporting systematic reviews

          The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, published in 2009, was designed to help systematic reviewers transparently report why the review was done, what the authors did, and what they found. Over the past decade, advances in systematic review methodology and terminology have necessitated an update to the guideline. The PRISMA 2020 statement replaces the 2009 statement and includes new reporting guidance that reflects advances in methods to identify, select, appraise, and synthesise studies. The structure and presentation of the items have been modified to facilitate implementation. In this article, we present the PRISMA 2020 27-item checklist, an expanded checklist that details reporting recommendations for each item, the PRISMA 2020 abstract checklist, and the revised flow diagrams for original and updated reviews.
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            Bias in meta-analysis detected by a simple, graphical test

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              Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials

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                Author and article information

                Journal
                J Psychiatry Neurosci
                J Psychiatry Neurosci
                jpn
                Journal of Psychiatry & Neuroscience : JPN
                CMA Impact Inc.
                1180-4882
                1488-2434
                Nov-Dec 2023
                20 December 2023
                : 48
                : 6
                : E461-E470
                Affiliations
                From the Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China (Sun, Xiao, Guo, Tang, Huang, Wang); the Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China (Sun, Xiao, Guo, Gong, Tang, Huang, Wang); the Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (Gong)
                Author notes
                Correspondence to: Y. Wang, Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; johneil@ 123456vip.sina.com

                Shilin Sun, Shu Xiao and Zixuan Guo contributed equally to this work.

                Article
                48-6-E461
                10.1503/jpn.230081
                10743639
                38123240
                2140e438-78b9-4e18-9632-bf5f50ccd90f
                © 2023 CMA Impact Inc. or its licensors

                This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY-NC-ND 4.0) licence, which permits use, distribution and reproduction in any medium, provided that the original publication is properly cited, the use is noncommercial (i.e., research or educational use), and no modifications or adaptations are made. See: https://creativecommons.org/licenses/by-nc-nd/4.0/

                History
                : 23 May 2023
                : 17 August 2023
                : 10 September 2023
                : 11 September 2023
                Funding
                Funded by: National Natural Science Foundation of China
                Award ID: 81671670
                Award ID: 81971597
                Award ID: 82102003
                Funded by: National Key Research and Development Program of China
                Award ID: 2020YFC2005700
                Funded by: Key-Area Research and Development Program of Guangdong Province
                Award ID: 2020B1111100001
                Categories
                Research Paper

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