Transdiagnostic Dysfunctions in Brain Modules Across Patients with Schizophrenia, Bipolar Disorder, and Major Depressive Disorder: A Connectome-Based Study

Author:

Ma Qing123,Tang Yanqing45,Wang Fei45,Liao Xuhong123,Jiang Xiaowei6,Wei Shengnan6,Mechelli Andrea7ORCID,He Yong123,Xia Mingrui123ORCID

Affiliation:

1. National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China

2. Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China

3. IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China

4. Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China

5. Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, China

6. Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China

7. Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK

Abstract

Abstract Psychiatric disorders, including schizophrenia (SCZ), bipolar disorder (BD), and major depressive disorder (MDD), share clinical and neurobiological features. Because previous investigations of functional dysconnectivity have mainly focused on single disorders, the transdiagnostic alterations in the functional connectome architecture of the brain remain poorly understood. We collected resting-state functional magnetic resonance imaging data from 512 participants, including 121 with SCZ, 100 with BD, 108 with MDD, and 183 healthy controls. Individual functional brain connectomes were constructed in a voxelwise manner, and the modular architectures were examined at different scales, including (1) global modularity, (2) module-specific segregation and intra- and intermodular connections, and (3) nodal participation coefficients. The correlation of these modular measures with clinical scores was also examined. We reliably identify common alterations in modular organization in patients compared to controls, including (1) lower global modularity; (2) lower modular segregation in the frontoparietal, subcortical, visual, and sensorimotor modules driven by more intermodular connections; and (3) higher participation coefficients in several network connectors (the dorsolateral prefrontal cortex and angular gyrus) and the thalamus. Furthermore, the alterations in the SCZ group are more widespread than those of the BD and MDD groups and involve more intermodular connections, lower modular segregation and higher connector integrity. These alterations in modular organization significantly correlate with clinical scores in patients. This study demonstrates common hyper-integrated modular architectures of functional brain networks among patients with SCZ, BD, and MDD. These findings reveal a transdiagnostic mechanism of network dysfunction across psychiatric disorders from a connectomic perspective.

Funder

National Natural Science Foundation of China

Changjiang Scholar Professorship Award

Beijing Municipal Science and Technology Commission

Fundamental Research Funds for the Central Universities

National Key Research and Development Program

National High Tech Development Plan

Liaoning Science and Technology Project

Liaoning Education Foundation

Innovation Team Support Plan of Higher Education of Liaoning Province

Major Special Construction plan of China Medical University

Publisher

Oxford University Press (OUP)

Subject

Psychiatry and Mental health

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