Heterogeneous Brain Abnormalities in Schizophrenia Converge on a Common Network Associated With Symptom Remission

Author:

Wang Yingru1ORCID,Yang Yinian2,Xu Wenqiang2,Yao Xiaoqing2,Xie Xiaohui1,Zhang Long3,Sun Jinmei3,Wang Lu3,Hua Qiang3,He Kongliang4,Tian Yanghua13,Wang Kai35678,Ji Gong-Jun125678

Affiliation:

1. Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Anhui Medical University , Hefei , China

2. Department of Clinical Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University , Hefei , China

3. Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University , Hefei , China

4. Department of Psychiatry, Fourth People’s Hospital of Hefei, Anhui Mental Health Center , Hefei , China

5. Institute of Artificial Intelligence, Hefei Comprehensive National Science Center , Hefei , China

6. Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders , Hefei , China

7. Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health , Hefei , China

8. Anhui Institute of Translational Medicine , Hefei , China

Abstract

Abstract Background and Hypothesis There is a huge heterogeneity of magnetic resonance imaging findings in schizophrenia studies. Here, we hypothesized that brain regions identified by structural and functional imaging studies of schizophrenia could be reconciled in a common network. Study Design We systematically reviewed the case-control studies that estimated the brain morphology or resting-state local function for schizophrenia patients in the literature. Using the healthy human connectome (n = 652) and a validated technique “coordinate network mapping” to identify a common brain network affected in schizophrenia. Then, the specificity of this schizophrenia network was examined by independent data collected from 13 meta-analyses. The clinical relevance of this schizophrenia network was tested on independent data of medication, neuromodulation, and brain lesions. Study Results We identified 83 morphological and 60 functional studies comprising 7389 patients with schizophrenia and 7408 control subjects. The “coordinate network mapping” showed that the atrophy and dysfunction coordinates were functionally connected to a common network although they were spatially distant from each other. Taking all 143 studies together, we identified the schizophrenia network with hub regions in the bilateral anterior cingulate cortex, insula, temporal lobe, and subcortical structures. Based on independent data from 13 meta-analyses, we showed that these hub regions were specifically connected with regions of cortical thickness changes in schizophrenia. More importantly, this schizophrenia network was remarkably aligned with regions involving psychotic symptom remission. Conclusions Neuroimaging abnormalities in cross-sectional schizophrenia studies converged into a common brain network that provided testable targets for developing precise therapies.

Funder

National Natural Science Foundation of China

Science Fund for Distinguished Young Scholars of Anhui Province

Scientific Research Fund of Anhui Medical University

Hefei Comprehensive National Science Center Hefei Brain Project

2021 Anhui Province Key R&D Project: Population Health Special Project

Youth Top-notch Talent Support Program of Anhui Medical University

Publisher

Oxford University Press (OUP)

Subject

Psychiatry and Mental health

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