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Decreased Resting-State Connectivity between Neurocognitive Networks in Treatment Resistant Depression.


ABSTRACT: Approximately one-third of patients with major depressive disorder (MDD) do not achieve remission after various treatment options and develop treatment resistant depression (TRD). So far, little is known about the pathophysiology of TRD. Studies in MDD patients showed aberrant functional connectivity (FC) of three "core" neurocognitive networks: the salience network (SN), cognitive control network (CCN), and default mode network (DMN). We used a cross-sectional design and performed resting-state FC MRI to assess connectivity of the SN, CCN, and both anterior and posterior DMN in 17 severe TRD, 18 non-TRD, and 18 healthy control (HC) subjects. Relative to both non-TRD and HC subjects, TRD patients showed decreased FC between the dorsolateral prefrontal cortex and angular gyrus, which suggests reduced FC between the CCN and DMN, and reduced FC between the medial prefrontal cortex and precuneus/cuneus, which suggests reduced FC between the anterior and posterior DMN. No significant differences in SN FC were observed. Our results suggest that TRD is characterized by a disturbance in neurocognitive networks relative to non-TRD and HC.

SUBMITTER: de Kwaasteniet BP 

PROVIDER: S-EPMC4345766 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Decreased Resting-State Connectivity between Neurocognitive Networks in Treatment Resistant Depression.

de Kwaasteniet Bart P BP   Rive Maria M MM   Ruhé Henricus G HG   Schene Aart H AH   Veltman Dick J DJ   Fellinger Lisanne L   van Wingen Guido A GA   Denys Damiaan D  

Frontiers in psychiatry 20150302


Approximately one-third of patients with major depressive disorder (MDD) do not achieve remission after various treatment options and develop treatment resistant depression (TRD). So far, little is known about the pathophysiology of TRD. Studies in MDD patients showed aberrant functional connectivity (FC) of three "core" neurocognitive networks: the salience network (SN), cognitive control network (CCN), and default mode network (DMN). We used a cross-sectional design and performed resting-state  ...[more]

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