Open AccessTransdiagnostic time‐varying dysconnectivity across major psychiatric disorders
Author(s) -
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
Publication year - 2021
Publication title -
human brain mapping
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/hbm.25285
Subject(s) - dynamic functional connectivity , major depressive disorder , functional magnetic resonance imaging , schizophrenia (object oriented programming) , psychology , neuroscience , bipolar disorder , functional connectivity , salience (neuroscience) , resting state fmri , post hoc , audiology , psychiatry , medicine , cognition
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, we used resting‐state functional magnetic resonance imaging and a sliding‐window method to study DFC in a total of 610 individuals (150 with SZ, 100 with BD, 150 with MDD, and 210 healthy controls [HC]) at a single site. Using k‐means clustering, DFCs were clustered into three functional connectivity states: one was a more frequent state with moderate positive and negative connectivity (State 1), and the other two were less frequent states with stronger positive and negative connectivity (State 2 and State 3). Significant 4‐group differences (SZ, BD, MDD, and HC groups; q < .05, false‐discovery rate [FDR]‐corrected) in DFC were nearly only in State 1. Post hoc analyses ( q < .05, FDR‐corrected) in State 1 showed that transdiagnostic dysconnectivity patterns among SZ, BD and MDD featured consistently decreased connectivity within most networks (the visual, somatomotor, salience and frontoparietal networks), which was most obvious in both range and extent for SZ. Our findings suggest that there is more common dysconnectivity across SZ, BD and MDD than we previously expected and that such dysconnectivity is state‐dependent, which provides new insights into the pathophysiological mechanism of major psychiatric disorders.