Evidence map›Paper›PMID 29494196›Full record

ArticleNeuropsychology2018

Brain volume change and cognitive trajectories in aging.

Evan Fletcher, Brandon Gavett, Danielle Harvey, Sarah Tomaszewski Farias, John Olichney, Laurel Beckett, Charles DeCarli, Dan Mungas

Abstract read
In one paragraph

Article in Neuropsychology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing 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

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

  1. Pooled it
  2. Pooled it
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  6. Elevated HbA1c is associated with advanced brain age in severe obesity.medRxiv : the preprint server for health sciences · 2026
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31 more citing papers are in PubMed but not listed here.

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

8 authors.

Evan FletcherUniversity of California.
Brandon GavettUniversity of Colorado.
Danielle HarveyUniversity of California.
Sarah Tomaszewski FariasUniversity of California.
John OlichneyUniversity of California.
Laurel BeckettUniversity of California.
Charles DeCarliUniversity of California.
Dan MungasUniversity of California.

Funding

UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI DECARLI, CHARLES · 1991 to 2020
$28.3M
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
Brain pathologies, reserve and cognition in aging and dementiaRF1AG031563 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI MUNGAS, DAN M. · 2015 to 2015
$3.8M
NIA NIH HHS P30 AG010129NIA NIH HHS R01 AG010220NIA NIH HHS R01 AG021028NIA NIH HHS RF1 AG031563
6 · The paper itself

Abstract

objectiveExamine how longitudinal cognitive trajectories relate to brain baseline measures and change in lobar volumes in a racially/ethnically and cognitively diverse sample of older adults.

methodParticipants were 460 older adults enrolled in a longitudinal aging study. Cognitive outcomes were measures of episodic memory, semantic memory, executive function, and spatial ability derived from the Spanish and English Neuropsychological Assessment Scales (SENAS). Latent variable multilevel modeling of the four cognitive outcomes as parallel longitudinal processes identified intercepts for each outcome and a second order global change factor explaining covariance among the highly correlated slopes. We examined how baseline brain volumes (lobar gray matter, hippocampus, and white matter hyperintensity) and change in brain volumes (lobar gray matter) were associated with cognitive intercepts and global cognitive change. Lobar volumes were dissociated into global and specific components using latent variable methods.

resultsCognitive change was most strongly associated with brain gray matter volume change, with strong independent effects of global gray matter change and specific temporal lobe gray matter change. Baseline white matter hyperintensity and hippocampal volumes had significant incremental effects on cognitive decline beyond gray matter change. Baseline lobar gray matter was related to cognitive decline, but did not contribute beyond gray matter change.

conclusionCognitive decline was strongly influenced by gray matter volume change and, especially, temporal lobe change. The strong influence of temporal lobe gray matter change on cognitive decline may reflect involvement of temporal lobe structures that are critical for late life cognitive health but also are vulnerable to diseases of aging. (PsycINFO Database Record

Indexed as

AgedAged, 80 and overAgingBrainCognitionCognitive DysfunctionExecutive FunctionFemaleGray MatterHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMemory, EpisodicMiddle AgedNeuropsychological Tests

Identifiers

PMID29494196
PMCPMC6525569

What OpenQuestion holds

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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.