Evidence map›Paper›PMID 34292026›Full record

ArticleNeuropsychology2021

The latent factor structure underlying regional brain volume change and its relation to cognitive change in older adults.

Brandon E Gavett, Evan Fletcher, Keith F Widaman, Sarah Tomaszewski Farias, Charles DeCarli, Dan Mungas

Open access · hybridAbstract read
In one paragraph

Article in Neuropsychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

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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 at 3 institutions in 2 countries.

Brandon E GavettSchool of Psychological Science, University of Western Australia.ORCID 0000-0003-1938-1854
Evan FletcherDepartment of Neurology, University of California at Davis.
Keith F WidamanGraduate School of Education, University of California at Riverside.
Sarah Tomaszewski FariasDepartment of Neurology, University of California at Davis.
Charles DeCarliDepartment of Neurology, University of California at Davis.
Dan MungasDepartment of Neurology, University of California at Davis.
University of California, Davis · USThe University of Western Australia · AUUniversity of California, Riverside · US

Funding

UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI DECARLI, CHARLES · 1991 to 2020
$28.3M
Brain pathologies, reserve and cognition in aging and dementiaR01AG031563 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Evan Fletcher, SARAH E TOMASZEWSKI-FARIAS · 2009 to 2026
$8.9M
Heterogeneity of Mild Cognitive Impairment(MCI)R01AG021028 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI DECARLI, CHARLES · 2003 to 2014
$4.6M
ENGLISH AND SPANISH ASSESSMENT OF COGNITION IN ELDERLYR01AG010220 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI MUNGAS, DAN M. · 1992 to 2012
$4.5M
INVESTIGATOR DEVELOPMENT COREP30AG043097 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HINTON, WALTER LADSON · 2012 to 2017
$2.9M
The impact of non-amyloid processes on cognitive agingR01AG047827 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DECARLI, CHARLES · 2014 to 2018
$2.9M
Understanding the Pathway to Functional Disability in Alzheimer's diseaseR01AG031252 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI TOMASZEWSKI-FARIAS, SARAH E · 2008 to 2012
$1.8M
National Institute on Aging; Resource Centers for Minority Aging ResearchNIA NIH HHS P30 AG010129NIA NIH HHS P30 AG043097NIA NIH HHS R01 AG010220NIA NIH HHS R01 AG021028NIA NIH HHS R01 AG031252NIA NIH HHS R01 AG031563NIA NIH HHS R01 AG047827
6 · The paper itself

Abstract

objectiveLate-life changes in cognition and brain integrity are both highly multivariate, time-dependent processes that are essential for understanding cognitive aging and neurodegenerative disease outcomes. The present study seeks to identify a latent variable model capable of efficiently reducing a multitude of structural brain change magnetic resonance imaging (MRI) measurements into a smaller number of dimensions. We further seek to demonstrate the validity of this model by evaluating its ability to reproduce patterns of coordinated brain volume change and to explain the rate of cognitive decline over time.

methodWe used longitudinal cognitive data and structural MRI scans, obtained from a diverse sample of 358 participants (

resultsResults supported a bifactor model for brain change with four group factors (prefrontal, temporolimbic, medial temporal, and posterior association) and one general change factor (global atrophy). Atrophy in the global (β = 0.434,

conclusionsThe current results suggest that brain change across 27 bilateral regions of interest can be grouped into five change factors, three of which (global gray matter, temporolimbic, and medial temporal lobe atrophy) are strongly associated with cognitive decline. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Indexed as

Cognitive DysfunctionNeurodegenerative DiseasesAgedAtrophyBrainCognitionGray MatterHumansMagnetic Resonance Imaging

Identifiers

PMID34292026
PMCPMC8501944
OpenAlexW3184817466

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.