Altered Brain Network Dynamics in Schizophrenia Patients With Predominant Negative Symptoms: A Resting‐State fMRI Study Using Co‐Activation Pattern Analysis

作者：Xingsong Wang, Yao Zhang, Pei‐juan Wang, Qi Yan, Xiaoxiao Wang, Haisu Wu, Shuai‐biao Li, Min‐yi Chu, Yi Wang, Simon S. Y. Lui, Qinyu Lv, Li Kong, Zhenghui Yi, Raymond C. K. Chan · 发表于：Human Brain Mapping · 年份：2025 · DOI：10.1002/hbm.70369 · 被引用次数：2 · 研究领域：Functional Brain Connectivity Studies、Advanced Neuroimaging Techniques and Applications、Mental Health Research Topics

Negative symptoms remain a major therapeutic challenge in schizophrenia, significantly impacting functional outcomes, yet their underlying neural mechanisms remain poorly understood. Traditional static functional connectivity analyses, which examine average correlations over time, may overlook critical temporal features of brain network organization and fail to capture dynamic shifts in connectivity patterns. Resting-state functional magnetic resonance imaging (rs-fMRI), particularly when analyzed using co-activation pattern analysis (CAP), provides a framework to study these dynamic network changes with greater temporal resolution. Using CAP analysis of rs-fMRI data, we investigated brain network dynamics in 31 schizophrenia patients with predominant negative symptoms, 31 patients without predominant negative symptoms, and 34 healthy controls. Eight distinct brain states were identified, characterized by antagonistic relationships between sensorimotor, default mode, and salience networks. Compared to healthy controls, the overall schizophrenia group showed altered temporal characteristics, including a reduced occurrence of a sensorimotor-dominant state and excessive transitions from this state to a control-salience network state. Notably, patients with predominant negative symptoms demonstrated distinct temporal characteristics, including reduced dwell time in sensorimotor-salience states and excessive transitions from sensorimotor to control-salience network states. In cont...