Mapping Brain Synergy Dysfunction in Schizophrenia: Understanding Individual Differences and Underlying Molecular Mechanisms
Source abstract
Abstract
Abstract To elucidate the brain‐wide information interactions that vary and contribute to individual differences in schizophrenia (SCZ), an information‐resolved method is employed to construct individual synergistic and redundant interaction matrices based on regional pairwise BOLD time‐series from 538 SCZ and 540 normal controls (NC). This analysis reveals a stable pattern of regionally‐specific synergy dysfunction in SCZ. Furthermore, a hierarchical Bayesian model is applied to deconstruct the patterns of whole‐brain synergy dysfunction into three latent factors that explain symptom heterogeneity in SCZ. Factor 1 exhibits a significant positive correlation with Positive and Negative Syndrome Scale (PANSS) positive scores, while factor 3 demonstrates significant negative correlations with PANSS negative and general scores. By integrating the neuroimaging data with normative gene expression information, this study identifies that each of these three factors corresponded to a subset of the SCZ risk gene set. Finally, by combining data from NeuroSynth and open molecular imaging sources, along with a spatially heterogeneous mean‐field model, this study delineates three SCZ synergy factors corresponding to distinct symptom profiles and implicating unique cognitive, neurodynamic, and neurobiological mechanisms.
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Research context
OpenAlex topics: Functional Brain Connectivity Studies · Mental Health Research Topics · Neural dynamics and brain function
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Artificial Intelligence University of Chinese Academy of Sciences Beijing 100049 China
Brainnetome Center Institute of Automation Chinese Academy of Sciences Beijing 100190 China
State Key Laboratory of Brain and Cognitive Science Institute of Biophysics Chinese Academy of Sciences Beijing 100101 China
School of Automation Hangzhou Dianzi University Hangzhou 310018 China
State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing 100875 China
Institute of Mental Health Peking University Sixth Hospital Beijing 100191 China
Department of Radiology Renmin Hospital of Wuhan University Wuhan 430060 China
Department of Psychiatry Xijing Hospital The Fourth Military Medical University Xi'an 710032 China
Zhumadian Psychiatric Hospital Zhumadian 463000 China
Department of Psychiatry Henan Mental Hospital The Second Affiliated Hospital of Xinxiang Medical University Xinxiang 453002 China
Department of Psychiatry Renmin Hospital of Wuhan University Wuhan 430060 China
Funding
National Natural Science Foundation of China · Beijing Nova Program
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