Evidence map›Paper›PMID 34412936›Full record

ArticleThe American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry2022

Estimated Regional White Matter Hyperintensity Burden, Resting State Functional Connectivity, and Cognitive Functions in Older Adults.

Abhishek Jaywant, Katharine Dunlop, Lindsay W Victoria, Lauren Oberlin, Charles J Lynch, Matteo Respino, Amy Kuceyeski, Matthew Scult, Matthew J Hoptman, Conor Liston and 4 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 1 country.

Abhishek JaywantDepartment of Psychiatry, Weill Cornell Medicine (AJ, KD, LWV, LO, CJL, MR, MS, CL, GSA, FMG), New York, New York; Department of Rehabilitation Medicine, Weill Cornell Medicine (AJ, MWO), New York, New York.
Katharine DunlopDepartment of Psychiatry, Weill Cornell Medicine (AJ, KD, LWV, LO, CJL, MR, MS, CL, GSA, FMG), New York, New York; Department of Radiology, Weill Cornell Medicine (AK), New York, New York.
Lindsay W VictoriaDepartment of Psychiatry, Weill Cornell Medicine (AJ, KD, LWV, LO, CJL, MR, MS, CL, GSA, FMG), New York, New York; Weill Cornell Institute of Geriatric Psychiatry (LWV, LO, MR, GSA, FMG), New York, New York.
Lauren OberlinDepartment of Psychiatry, Weill Cornell Medicine (AJ, KD, LWV, LO, CJL, MR, MS, CL, GSA, FMG), New York, New York; Weill Cornell Institute of Geriatric Psychiatry (LWV, LO, MR, GSA, FMG), New York, New York.
Charles J LynchDepartment of Psychiatry, Weill Cornell Medicine (AJ, KD, LWV, LO, CJL, MR, MS, CL, GSA, FMG), New York, New York; Feil Family Brain and Mind Research Institute, Weill Cornell Medicine (KD, CJL, AK, CL), New York, New York.
Matteo RespinoDepartment of Psychiatry, Weill Cornell Medicine (AJ, KD, LWV, LO, CJL, MR, MS, CL, GSA, FMG), New York, New York; Weill Cornell Institute of Geriatric Psychiatry (LWV, LO, MR, GSA, FMG), New York, New York.
Amy KuceyeskiFeil Family Brain and Mind Research Institute, Weill Cornell Medicine (KD, CJL, AK, CL), New York, New York.
Matthew ScultDepartment of Psychiatry, Weill Cornell Medicine (AJ, KD, LWV, LO, CJL, MR, MS, CL, GSA, FMG), New York, New York.
Matthew J HoptmanNathan Kline Institute for Psychiatric Research (MJH), New York, New York; Department of Psychiatry, New York University School of Medicine (MJH), New York, New York.
Conor ListonDepartment of Psychiatry, Weill Cornell Medicine (AJ, KD, LWV, LO, CJL, MR, MS, CL, GSA, FMG), New York, New York; Feil Family Brain and Mind Research Institute, Weill Cornell Medicine (KD, CJL, AK, CL), New York, New York.
Michael W O'DellDepartment of Rehabilitation Medicine, Weill Cornell Medicine (AJ, MWO), New York, New York.
George S AlexopoulosDepartment of Psychiatry, Weill Cornell Medicine (AJ, KD, LWV, LO, CJL, MR, MS, CL, GSA, FMG), New York, New York; Weill Cornell Institute of Geriatric Psychiatry (LWV, LO, MR, GSA, FMG), New York, New York.
Roy H PerlisHarvard Medical School/Massachusetts General Hospital (RHP), Boston, Massachusetts.
Faith M GunningDepartment of Psychiatry, Weill Cornell Medicine (AJ, KD, LWV, LO, CJL, MR, MS, CL, GSA, FMG), New York, New York; Weill Cornell Institute of Geriatric Psychiatry (LWV, LO, MR, GSA, FMG), New York, New York. Electronic address: fgd2002@med.cornell.edu.
Cornell University · USMassachusetts General Hospital · USNathan Kline Institute for Psychiatric Research · US

Funding

Efficacy of biomarker-guided rTMS for treatment resistant depressionR01MH118388 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI BHATI, MAHENDRA T, GUNNING, FAITH M · 2019 to 2025
$6.2M
RESEARCH TRAINING IN GERIATRIC MOOD DISORDERST32MH019132 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI GUNNING, FAITH M · 1990 to 2025
$3.4M
White matter and emotional and cognitive control in late-onset depressionR01MH097735 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI GUNNING, FAITH M · 2012 to 2016
$1.9M
NIMH NIH HHS R01 MH097735NIMH NIH HHS R01 MH118388NIMH NIH HHS T32 MH019132
6 · The paper itself

Abstract

objectiveWhite matter hyperintensities (WMH) are linked to deficits in cognitive functioning, including cognitive control and memory; however, the structural, and functional mechanisms are largely unknown. We investigated the relationship between estimated regional disruptions to white matter fiber tracts from WMH, resting state functional connectivity (RSFC), and cognitive functions in older adults.

designCross-sectional study.

settingCommunity.

participantsFifty-eight cognitively-healthy older adults. MEASUREMENTS: Tasks of cognitive control and memory, structural MRI, and resting state fMRI. We estimated the disruption to white matter fiber tracts from WMH and its impact on gray matter regions in the cortical and subcortical frontoparietal network, default mode network, and ventral attention network by overlaying each subject's WMH mask on a normative tractogram dataset. We calculated RSFC between nodes in those same networks. We evaluated the interaction of regional WMH burden and RSFC in predicting cognitive control and memory.

resultsThe interaction of estimated regional WMH burden and RSFC in cortico-striatal regions of the default mode network and frontoparietal network was associated with delayed recall. Models predicting working memory, cognitive inhibition, and set-shifting were not significant.

conclusionFindings highlight the role of network-level structural and functional alterations in resting state networks that are related to WMH and impact memory in older adults.

Indexed as

White MatterAgedBrainCognitionCross-Sectional StudiesGray MatterHumansMagnetic Resonance Imagingcerebrovascular diseaseCognitive agingmagnetic resonance imagingneuroimagingneuropsychology

Identifiers

PMID34412936
PMCPMC8799753
OpenAlexW3188581886

What Socratic 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 Socratic graph.