Evidence map›Paper›PMID 30594024›Full record

ArticleJournal of psychiatric research2019

Brain network functional connectivity and cognitive performance in major depressive disorder.

Kimberly M Albert, Guy G Potter, Brian D Boyd, Hakmook Kang, Warren D Taylor

Abstract read
In one paragraph

Article in Journal of psychiatric research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kimberly M AlbertThe Center for Cognitive Medicine, Department of Psychiatry, Vanderbilt University Medical Center, United States. Electronic address: kimberly.albert@vumc.org.
Guy G PotterDuke University Department of Psychiatry, United States.
Brian D BoydThe Center for Cognitive Medicine, Department of Psychiatry, Vanderbilt University Medical Center, United States.
Hakmook KangDepartment of Biostatistics, Vanderbilt University Medical Center, United States.
Warren D TaylorThe Center for Cognitive Medicine, Department of Psychiatry, Vanderbilt University Medical Center, United States; GRECC, VA, Tennessee Valley Healthcare System, United States.

Funding

Research Project: Sensory and Multisensory Contributions to AutismU54HD083211 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DYKENS, ELISABETH MAY · 2015 to 2019
$7.1M
Genes and Alterations in Brain Structure and Function in DepressionR01MH077745 · NIMH · VANDERBILT UNIVERSITY · PI TAYLOR, WARREN D · 2008 to 2012
$2.6M
Mentoring and Research on Neurobiological Markers of Clinical Outcomes in DepressionK24MH110598 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI TAYLOR, WARREN D · 2016 to 2019
$637k
NICHD NIH HHS U54 HD083211NIMH NIH HHS K24 MH110598NIMH NIH HHS R01 MH077745
6 · The paper itself

Abstract

backgroundMajor depressive disorder (MDD) is one of the most prevalent and debilitating psychiatric disorders. Cognitive complaints are commonly reported in MDD and cognitive impairment is a criterion item for MDD diagnosis. As cognitive processes are increasingly understood as the consequences of distributed interactions between brain regions, a network-based approach may provide novel information about the neurobiological basis of cognitive deficits in MDD.

methods51 Depressed (MDD, n = 23) and non-depressed (control, n = 28) adult participants completed neuropsychological testing and resting-state fMRI (rsfMRI). Cognitive domain scores (processing speed, working memory, episodic memory, and executive function) were calculated. Anatomical regions of interests were entered as seeds for functional connectivity analyses in: default mode (DMN), salience, and executive control (ECN) networks. Partial correlations controlling for age and sex were conducted for cognitive domain scores and functional connectivity in clusters with significant differences between groups.

resultsSignificant rsfMRI differences between groups were identified in multiple clusters in the DMN and ECN. Greater positive connectivity within the ECN and between ECN and DMN regions was associated with poorer episodic memory performance in the Non-Depressed group but better performance in the MDD group. Greater connectivity within the DMN was associated with better episodic and working memory performance in the Non-Depressed group but worse performance in the MDD group.

conclusionsThese results provide evidence that cognitive performance in MDD may be associated with aberrant functional connectivity in cognitive networks and suggest patterns of alternate brain function that may support cognitive processes in MDD.

Indexed as

ConnectomeAdultCerebral CortexCognitive DysfunctionFemaleHumansMagnetic Resonance ImagingMajor Depressive DisorderMaleMiddle AgedNerve NetYoung AdultCognitionFunctional connectivityFunctional MRIMajor depression

Identifiers

PMID30594024
PMCPMC6360105

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.