Evidence map›Paper›PMID 23831171›Full record

ArticleThe American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry2014

Graph theory analysis of cortical-subcortical networks in late-life depression.

Olusola Ajilore, Melissa Lamar, Alex Leow, Aifeng Zhang, Shaolin Yang, Anand Kumar

Abstract read
In one paragraph

Article in The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 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

6 authors.

Olusola AjiloreDepartment of Psychiatry, University of Illinois at Chicago, Chicago, IL. Electronic address: oajilore@psych.uic.edu.
Melissa LamarDepartment of Psychiatry, University of Illinois at Chicago, Chicago, IL.
Alex LeowDepartment of Psychiatry, University of Illinois at Chicago, Chicago, IL.
Aifeng ZhangDepartment of Psychiatry, University of Illinois at Chicago, Chicago, IL.
Shaolin YangDepartment of Psychiatry, University of Illinois at Chicago, Chicago, IL; Department of Radiology, University of Illinois at Chicago, Chicago, IL.
Anand KumarDepartment of Psychiatry, University of Illinois at Chicago, Chicago, IL.

Funding

Cortical/Subcortical Circuits in Late-Life DepressionR01MH073989 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI KUMAR, ANAND · 2006 to 2010
$2.6M
Brain Metabolites in Type 2 Diabetes and Major Depression Using MRSK23MH081175 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI AJILORE, OLUSOLA A. · 2009 to 2013
$825k
NIMH NIH HHS K23 MH-081175NIMH NIH HHS K23 MH081175NIMH NIH HHS R01 MH-073989
6 · The paper itself

Abstract

objectivesLate-life major depression (LLD) is characterized by distinct epidemiologic and psychosocial factors, as well as medical comorbidities that are associated with specific neuroanatomical differences. The purpose of this study was to use interregional correlations of cortical and subcortical volumes to examine cortical-subcortical structural network properties in subjects with LLD compared with healthy comparison subjects.

methodsThis was a cross-sectional neuroimaging study conducted in the general community. We recruited 73 healthy elderly comparison subjects and 53 subjects with LLD who volunteered in response to advertisements. Brain network connectivity measures were generated by correlating regional volumes after controlling for age, gender, and intracranial volume by using the Brain Connectivity Toolbox.

resultsResults for overall network strength revealed that LLD networks showed a greater magnitude of associations for both positive and negative correlation weights compared with healthy elderly networks. LLD networks also demonstrated alterations in brain network structure compared with healthy comparison subjects. LLD networks were also more vulnerable to targeted attacks compared with healthy elderly comparison subjects, and this vulnerability was attenuated when controlling for white matter alterations.

conclusionsOverall, this study demonstrates that cortical-subcortical network properties are altered in LLD and may reflect the underlying neuroanatomical vulnerabilities of the disorder.

Indexed as

NeuroimagingAgedAged, 80 and overAge of OnsetBrainCase-Control StudiesCerebral CortexCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMajor Depressive DisorderMaleMiddle AgedModels, NeurologicalNeural PathwaysConnectivitydepressiongeriatricnetwork analysisneuroimaging

Identifiers

PMID23831171
PMCPMC3858393

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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.