Transdiagnostic time-varying dysconnectivity across major psychiatric disorders

Transdiagnostic time-varying dysconnectivity across major psychiatric disorders

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...

Full description

Bibliographic Details
Main Authors: Dong, M. (Author), Duan, J. (Author), Feng, R. (Author), Han, S. (Author), Jiang, X. (Author), Li, C. (Author), Tang, Y. (Author), Wang, F. (Author), Wei, Y. (Author), Womer, F.Y (Author), Xu, K. (Author), Yin, Y. (Author), Zhang, L. (Author), Zhang, X. (Author)
Format: Article
Language:English
Published: John Wiley and Sons Inc 2021
Subjects:
adult
Adult
Article
bipolar disorder
Bipolar Disorder
brain cortex
Cerebral Cortex
connectome
Connectome
controlled study
Depressive Disorder, Major
diagnostic imaging
dynamic functional connectivity
false discovery rate
female
Female
frontoparietal network
functional connectivity
functional magnetic resonance imaging
human
Humans
k means clustering
Magnetic Resonance Imaging
major clinical study
major depression
major depressive disorder
male
Male
nerve cell network
Nerve Net
nuclear magnetic resonance imaging
pathophysiology
post hoc analysis
priority journal
procedures
resting state network
salience network
schizophrenia
Schizophrenia
somatomotor network
statistical analysis
time series analysis
transdiagnostic study
visual network
young adult
Young Adult
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items