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Resting-state functional connectivity in major depressive disorder: A review

Neuroscience & Biobehavioral ReviewsPublished 30 July 2015
Peter Mulders, Philip van Eijndhoven, Aart H. Schene, Christian F. Beckmann, Indira Tendolkar
Citations859
SJR quartileQ1
SJR score3.08
SNIP2.62

TL;DR

A model that incorporates changes in functional connectivity within current hypotheses of network-dysfunction in MDD is proposed and consistent findings correspond to the current understanding of depression as a network-based disorder.

Abstract

Major depressive disorder (MDD) affects multiple large-scale functional networks in the brain, which has initiated a large number of studies on resting-state functional connectivity in depression. We review these recent studies using either seed-based correlation or independent component analysis and propose a model that incorporates changes in functional connectivity within current hypotheses of network-dysfunction in MDD. Although findings differ between studies, consistent findings include: (1) increased connectivity within the anterior default mode network, (2) increased connectivity between the salience network and the anterior default mode network, (3) changed connectivity between the anterior and posterior default mode network and (4) decreased connectivity between the posterior default mode network and the central executive network. These findings correspond to the current understanding of depression as a network-based disorder.

Keywords

PsychologyNeuroscience