Dynamic Functional Connectivity Predicts Treatment Response to Electroconvulsive Therapy in Major Depressive Disorder

Dynamic Functional Connectivity Predicts Treatment Response to Electroconvulsive Therapy in Major Depressive Disorder

Background: Electroconvulsive therapy (ECT) is one of the most effective treatments for major depressive disorder. Recently, there has been increasing attention to evaluate the effect of ECT on resting-state functional magnetic resonance imaging (rs-fMRI). This study aims to compare rs-fMRI of depre...

Full description

Bibliographic Details
Main Authors: Hossein Dini, Mohammad S. E. Sendi, Jing Sui, Zening Fu, Randall Espinoza, Katherine L. Narr, Shile Qi, Christopher C. Abbott, Sanne J. H. van Rooij, Patricio Riva-Posse, Luis Emilio Bruni, Helen S. Mayberg, Vince D. Calhoun
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Human Neuroscience
Subjects:
major depressive disorder
electroconvulsive therapy
dynamic functional network connectivity
resting-state functional MRI
prediction
default mode network
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2021.689488/full

Internet

https://www.frontiersin.org/articles/10.3389/fnhum.2021.689488/full

Similar Items