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. 2012 Jun;139(1):56-65.
doi: 10.1016/j.jad.2011.12.002. Epub 2012 Mar 15.

Functional connectivity in the cognitive control network and the default mode network in late-life depression

George S Alexopoulos  1 , Matthew J Hoptman, Dora Kanellopoulos, Christopher F Murphy, Kelvin O Lim, Faith M Gunning
Affiliations

Functional connectivity in the cognitive control network and the default mode network in late-life depression

George S Alexopoulos et al. J Affect Disord. 2012 Jun.

Abstract

Background: Abnormalities have been identified in the Cognitive Control Network (CCN) and the Default Mode Network (DMN) during episodes of late-life depression. This study examined whether functional connectivity at rest (FC) within these networks characterizes late-life depression and predicts antidepressant response.

Methods: 26 non-demented, non-MCI older adults were studied. Of these, 16 had major depression and 10 had no psychopathology. Depressed patients were treated with escitalopram (target dose 20 mg) for 12 weeks after a 2-week placebo phase. Resting state time series was determined prior to treatment. FC within the CCN was determined by placing seeds in the dACC and the DLPFC bilaterally. FC within the DMN was assessed from a seed placed in the posterior cingulate.

Results: Low resting FC within the CCN and high resting FC within the DMN distinguished depressed from normal elderly subjects. Beyond this "double dissociation", low resting FC within the CCN predicted low remission rate and persistence of depressive symptoms and signs, apathy, and dysexecutive behavior after treatment with escitalopram. In contrast, resting FC within the DMN was correlated with pessimism but did not predict treatment response.

Conclusions: If confirmed, these findings may serve as a signature of the brain's functional topography characterizing late-life depression and sustaining its symptoms. By identifying the network abnormalities underlying biologically meaningful characteristics (apathy, dysexecutive behavior, pessimism) and sustaining late-life depression, these findings can provide a novel target on which new somatic and psychosocial treatments can be tested.

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Conflict of interest statement

CONFLICTS OF INTEREST

Dr. Alexopoulos received grant support from Forest Pharmaceuticals and has been a member of speakers’ bureaus of Astra Zeneca, Avanir, Forest, Merck, and Lundbeck. He holds equity of Johnson and Johnson. Dr. Lim serves on the Scientific Advisory Board for Shire Corp, a biopharmaceutical company. No other authors report conflicts of interest.

Figures

Figure 1
Figure 1
t-maps of the resting state connectivity of the cognitive control network for a) the non-depressed elderly; b) elderly depressed patients; c) non-depressed elderly > elderly depressed patients. Images were thresholded using clusters determined by z > 2.3 and a corrected cluster significance threshold of p < 0.05.
Figure 2
Figure 2
t-maps of the resting state connectivity of the default mode network for a) the non-depressed elderly subjects; b) elderly depressed patients; c) elderly depressed patients > non-depressed elderly subjects. Images were thresholded using clusters determined by z > 2.3 and a corrected cluster significance threshold of p < 0.05.
Figure 3
Figure 3
t-maps of the resting state connectivity of the cognitive control network for Remitters > NonRemitters. Images were thresholded using clusters determined by z > 2.3 and a corrected cluster significance threshold of p < 0.05.
Figure 4
Figure 4
a) Relationship between Apathy (AES) at 12 Weeks and Baseline Cognitive Control Network FC in Depressed Older Adults. b) Relationship between Dysexecutive Behavior (FrsBe) at week 12 and baseline Cognitive Control Network FC in Depressed Older Adults.
See this image and copyright information in PMC

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