Evidence map›Paper›PMID 37247578›Full record

ArticleNeurobiology of aging2023

Longitudinal changes in gray matter correspond to changes in cognition across the lifespan: implications for theories of cognition.

Evan T Smith, Joseph P Hennessee, Gagan S Wig, Sarah Frank, Hector Gonzalez, Julia Bacci, Micaela Chan, Claudia A Carreno, Kristen M Kennedy, Karen M Rodrigue and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurobiology of aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Neural and somatic mechanisms driving clinical improvements in post-acute schizophrenia spectrum disorders.European psychiatry : the journal of the Association of European Psychiatrists · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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

12 authors.

Evan T SmithSchool of Behavioral and Brain Sciences, Department of Psychology, Center for Vital Longevity, University of Texas at Dallas, Dallas, TX, USA. Electronic address: Evan.Smith1@utdallas.edu.
Joseph P HennesseeSchool of Behavioral and Brain Sciences, Department of Psychology, Center for Vital Longevity, University of Texas at Dallas, Dallas, TX, USA.
Gagan S WigSchool of Behavioral and Brain Sciences, Department of Psychology, Center for Vital Longevity, University of Texas at Dallas, Dallas, TX, USA; Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Sarah FrankSchool of Behavioral and Brain Sciences, Department of Psychology, Center for Vital Longevity, University of Texas at Dallas, Dallas, TX, USA.
Hector GonzalezSchool of Behavioral and Brain Sciences, Department of Psychology, Center for Vital Longevity, University of Texas at Dallas, Dallas, TX, USA.
Julia BacciSchool of Behavioral and Brain Sciences, Department of Psychology, Center for Vital Longevity, University of Texas at Dallas, Dallas, TX, USA.
Micaela ChanSchool of Behavioral and Brain Sciences, Department of Psychology, Center for Vital Longevity, University of Texas at Dallas, Dallas, TX, USA.
Claudia A CarrenoSchool of Behavioral and Brain Sciences, Department of Psychology, Center for Vital Longevity, University of Texas at Dallas, Dallas, TX, USA.
Kristen M KennedySchool of Behavioral and Brain Sciences, Department of Psychology, Center for Vital Longevity, University of Texas at Dallas, Dallas, TX, USA.
Karen M RodrigueSchool of Behavioral and Brain Sciences, Department of Psychology, Center for Vital Longevity, University of Texas at Dallas, Dallas, TX, USA.
Christopher HertzogSchool of Psychology, Georgia Institute of Technology, Atlanta, GA, USA.
Denise C ParkSchool of Behavioral and Brain Sciences, Department of Psychology, Center for Vital Longevity, University of Texas at Dallas, Dallas, TX, USA.

Funding

IMAGERY,VISUAL MEMORY &AGING:A NEUROIMAGING APPROACHR01AG006265 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PARK, DENISE CORTIS · 1985 to 2005
$2.6M
NIA NIH HHS R01 AG006265
6 · The paper itself

Abstract

The present study examines the association between gray matter volume and cognition. Studies that have examined this issue have focused primarily on older adults, whereas the present study examines the issue across the entire adult lifespan. A total of 463 adults, ages 20-88 at first assessment, were followed longitudinally across three assessments over 8-10years. Significant individual differences in a general cognition measure comprised of measures of speed of processing, working memory, and episodic memory were observed, as well as in measures of cortical and subcortical gray matter. Parallel process latent growth curve modeling showed a reliable relationship between decreases in cortical matter and cognitive decline across the entire adult lifespan, which persisted after controlling for age effects. Implications of these findings in relation to progression toward dementia, risk assessment, cognitive intervention, and environmental factors are discussed, as well as implications for theories of cognitive aging.

Indexed as

Gray MatterLongevityBrainCognitionMagnetic Resonance ImagingCognitive declineDallas Lifespan Brain Study (DLBS)Health agingLifespan cognitive changeLongitudinal changeMemoryMRIParallel process linear growth curve modeling (PLGC)Structural equation modeling (SEM)

Identifiers

PMID37247578
PMCPMC10524455

What OpenQuestion holds

Textmetadata
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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.