Transdiagnostic time‐varying dysconnectivity across major psychiatric disorders

• Published in: Human brain mapping Vol. 42; no. 4; pp. 1182 - 1196
• Main Authors: Li, Chao, Dong, Mengshi, Womer, Fay Y., Han, Shaoqiang, Yin, Yi, Jiang, Xiaowei, Wei, Yange, Duan, Jia, Feng, Ruiqi, Zhang, Luheng, Zhang, Xizhe, Wang, Fei, Tang, Yanqing, Xu, Ke
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.03.2021
• Subjects: Adult; Bipolar disorder; Bipolar Disorder - diagnostic imaging; Bipolar Disorder - physiopathology; Cerebral Cortex - diagnostic imaging; Cerebral Cortex - physiopathology; Clustering; Connectome - methods; Depressive Disorder, Major - diagnostic imaging; Depressive Disorder, Major - physiopathology; dynamic functional connectivity; Female; Functional magnetic resonance imaging; Humans; Magnetic Resonance Imaging; major depressive disorder; Male; Mental depression; Mental disorders; Nerve Net - diagnostic imaging; Nerve Net - physiopathology; Schizophrenia; Schizophrenia - diagnostic imaging; Schizophrenia - physiopathology; transdiagnostic study; Young Adult; dynamic functional connectivity; transdiagnostic study; bipolar disorder; schizophrenia; major depressive disorder

Dynamic functional connectivity (DFC) analysis can capture time‐varying properties of connectivity. However, studies on large samples using DFC to investigate transdiagnostic dysconnectivity across schizophrenia (SZ), bipolar disorder (BD), and major depressive disorder (MDD) are rare. In this study...