Back to Search Start Over

Default mode network coherence in treatment-resistant major depressive disorder during electroconvulsive therapy.

Authors :
Mulders PC
van Eijndhoven PF
Pluijmen J
Schene AH
Tendolkar I
Beckmann CF
Source :
Journal of affective disorders [J Affect Disord] 2016 Nov 15; Vol. 205, pp. 130-137. Date of Electronic Publication: 2016 Jun 27.
Publication Year :
2016

Abstract

Background: Functional connectivity in the "default mode network" (DMN) is changed in depression, and evidence suggests depression also affects the DMN's spatial topography and might cause a dissociation between its anterior and posterior regions. As antidepressive treatment affects anterior and posterior regions of the network differently, how depression and treatment change DMN-organization is crucial for understanding their mechanisms. We present a novel way of assessing the coherence of a network's regions to the network as a whole, and apply this to investigate treatment-resistant depression and the effects of electroconvulsive therapy (ECT).<br />Methods: Resting-state functional MRI was collected from 16 patients with treatment-resistant depression before and after ECT and 16 healthy controls matched for age and sex. For each subject, the mean time series of the DMN was used as a regressor for each voxel within the DMN, creating a map of "network coherence" (NC). The obtained maps were compared across groups using permutation testing.<br />Results: NC was significantly decreased in depressed subjects in the precuneus and the angular gyrus. With ECT the NC normalized in responders (n=8), but not in non-responders (n=8).<br />Conclusions: We present a novel method of investigating within-network coherence and apply this to show that in depression, a large area of the DMN shows a decrease in coherence to the network as a whole. Although tentative due to the small sample size, we find that this effect is not present after ECT in those improving clinically, but persists in patients not responding to ECT.<br /> (Copyright © 2016 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1573-2517
Volume :
205
Database :
MEDLINE
Journal :
Journal of affective disorders
Publication Type :
Academic Journal
Accession number :
27434117
Full Text :
https://doi.org/10.1016/j.jad.2016.06.059