Evidence map›Paper›PMID 27430029›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2016

Brain structural connectivity in late-life major depressive disorder.

Stephen F Smagula, Howard J Aizenstein

Abstract read
In one paragraph

Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
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

15 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
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  7. The Age-Dependent Association Between Vascular Risk Factors and Depressed Mood.The journals of gerontology. Series B, Psychological sciences and social sciences · 2022
    Article
  8. Review
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  15. Brain Structural Markers and Caregiving Characteristics as Interacting Correlates of Caregiving Strain.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2017
    Article
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

2 authors at 1 institution in 1 country.

Stephen F SmagulaDepartment of Psychiatry, Western Psychiatric Institute and Clinic of University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Howard J AizensteinDepartment of Psychiatry, Western Psychiatric Institute and Clinic of University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
University of Pittsburgh Medical Center · US

Funding

TREATMENT OF DEPRESSION IN ALZHEIMER'S DISEASEP50AG005133 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BECKER, JAMES T. · 1985 to 2019
$43.0M
VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
Pharmacologic MRI Predictors of Treatment Response in Late-Life DepressionR01MH076079 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AIZENSTEIN, HOWARD J, ANDREESCU, CARMEN · 2006 to 2022
$7.1M
CLINICAL RESEARCH TRAINING IN LATE-LIFE MOOD DISORDERST32MH019986 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HOWARD J AIZENSTEIN, Carmen Andreescu · 1997 to 2026
$6.9M
NIA NIH HHS P30 AG024827NIA NIH HHS P50 AG005133NIMH NIH HHS R01 MH076079NIMH NIH HHS T32 MH019986
6 · The paper itself

Abstract

Disrupted brain connectivity might explain both the pathogenesis and consequences of late-life major depressive disorder (LLD). However, it remains difficult to ascertain whether and how specific circuits are affected. We reviewed literature regarding brain connectivity in LLD, and we specifically focused on the role of structural pathology. LLD is associated with greater levels of cerebrovascular disease, and greater levels of cerebrovascular disease are associated with both depression development and treatment responsiveness. Cerebrovascular disease is most often measured as white matter hyperintensity (WMH) burden, and histopathology studies suggest WMH reflect myelin damage and fluid accumulation (among other underlying pathology). WMHs appear as confluent caps around the ventricles (periventricular), as well as isolated lesions in the deep white matter. The underlying tissue damage and implications for brain connectivity may differ by WMH location or severity. WMHs are associated with lower white matter microstructural integrity (measured with diffusion tensor imaging) and altered brain function (measured with functional MRI). LLD is also associated with lower white matter microstructural integrity and grey matter loss which may also alter the network properties and function of the brain. Damage to brain structure reflected by WMH, reduced white matter microstructural integrity, and atrophy may affect brain function, and are therefore likely pathophysiological mechanisms of LLD. Additional research is needed to fully characterize the developmental course and pathology underlying these imaging markers, and to understand how structural damage explains LLD's various clinical manifestations.

Indexed as

agingconnectivitydepressionDiffusion tensor imagingfunctional MRIstructural MRI

Identifiers

PMID27430029
PMCPMC4942202
OpenAlexW2233164687

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.