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...

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Bibliographic Details
Main Authors: Abbott, C.C (Author), Bruni, L.E (Author), Calhoun, V.D (Author), Dini, H. (Author), Espinoza, R. (Author), Fu, Z. (Author), Mayberg, H.S (Author), Narr, K.L (Author), Qi, S. (Author), Riva-Posse, P. (Author), Sendi, M.S.E (Author), Sui, J. (Author), van Rooij, S.J.H (Author)
Format: Article
Language:English
Published: Frontiers Media S.A. 2021
Subjects:
adult
anterior cingulate
Article
brain region
cognitive control network
controlled study
default mode network
dynamic functional network connectivity
electroconvulsive therapy
female
functional connectivity
functional magnetic resonance imaging
Hamilton Depression Rating Scale
hippocampus
human
independent component analysis
inferior frontal gyrus
inferior parietal lobule
insula
left hemisphere
major clinical study
major depression
major depressive disorder
male
middle cingulate cortex
middle frontal gyrus
posterior cingulate
precuneus
prediction
resting-state functional MRI
right hemisphere
superior frontal gyrus
superior medial frontal gyrus
supplementary motor area
treatment response
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