Cited by 437Functional Brain Connectivity StudiesTreatment of Major DepressionMental Health Research Topics

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

Open access
Alexopoulos, George S., Hoptman, Matthew J., Kanellopoulos, Dora, Murphy, Christopher F., Lim, Kelvin O., Gunning, Faith M.·2012·Journal of Affective Disorders

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jad.2011.12.002

Cites

96 of 96 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. MARDER E WEIMANN JM 1991 Neurobiology of Motor Program Selection: New Approaches to Mechanisms of Behavioral Choice Manchester, UK Manchester University Press

Cited by

Sorted by citations

Authors
Alexopoulos, G. S., Hoptman, M. J., Kanellopoulos, D., Murphy, C. F., Lim, K. O., & Gunning, F. M.
Affiliations
  • Cornell University (US)
  • Nathan Kline Institute for Psychiatric Research (US)
  • University of Minnesota (US)
Corresponding author
Alexopoulos, George S.
Venue
Journal of Affective Disorders
Publisher
Elsevier BV
Published
2012-06
Volume
139
Issue
1
Pages
56-65
ISSN
0165-0327 (ISSN-L)
OpenAlex
W2020259042
Cited by
437
References
96
Citations by year
2026: 13 · 2025: 28 · 2024: 33 · 2023: 30 · 2022: 41 · 2021: 67 · 2020: 29 · 2019: 34 · 2018: 32 · 2017: 32 · 2016: 25 · 2015: 31 · 2014: 25 · 2013: 14 · 2012: 1
FWCI
11.64
Type
journal article
Language
en
Open access
Locations
  • Journal of Affective Disorders (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institute of Mental Health (R01MH079414, P30MH085943, P030 MH085943, R01 MH65653, K23 MH74818, R01MH065653, T32MH019132, K23MH074818)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Keywords
geriatric depression, cognitive control network, default mode network, resting-state functional connectivity, escitalopram, antidepressant response prediction, apathy, pessimism, older adults, anterior cingulate cortex, dorsolateral prefrontal cortex, posterior cingulate cortex
MeSH terms
Age Factors, Aged, Brain, Cognition, Depressive Disorder, Major, Major Depressive Disorder, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Nerve Net, Rest, Citalopram, Single-Blind Method, Selective Serotonin Reuptake Inhibitors

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review