Evidence map›Paper›PMID 38522385›Full record

ArticleNeurobiology of aging2024

Childhood engagement in cognitively stimulating activities moderates relationships between brain structure and cognitive function in adulthood.

Alexandra M Gaynor, Yunglin Gazes, Caleb R Haynes, Reshma S Babukutty, Christian Habeck, Yaakov Stern, Yian Gu

Abstract read
In one paragraph

Article in Neurobiology of aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Alexandra M GaynorTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, United States; Cognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY, United States; Montclair State University, Department of Psychology, Montclair, NJ, United States.
Yunglin GazesTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, United States; Cognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY, United States; Gertrude H. Sergievsky Center, Columbia University, New York, NY, United States.
Caleb R HaynesTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, United States; Cognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY, United States.
Reshma S BabukuttyTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, United States; Cognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY, United States.
Christian HabeckTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, United States; Cognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY, United States; Gertrude H. Sergievsky Center, Columbia University, New York, NY, United States.
Yaakov SternTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, United States; Cognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY, United States; Gertrude H. Sergievsky Center, Columbia University, New York, NY, United States; Department of Psychiatry, Columbia University, New York, NY, United States.
Yian GuTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, United States; Cognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY, United States; Gertrude H. Sergievsky Center, Columbia University, New York, NY, United States; Department of Epidemiology, Joseph P. Mailman School of Public Health, Columbia University, New York, NY, United States. Electronic address: yg2121@cumc.columbia.edu.

Funding

Exploring Cognitive Aging Using Reference Ability Neural NetworksR01AG038465 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HABECK, CHRISTIAN GEORG, STERN, YAAKOV · 2011 to 2025
$17.0M
Imaging of Cognition, Learning and Memory in AgingR01AG026158 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI STERN, YAAKOV · 2004 to 2021
$10.9M
Exploring Cognitive Aging Using Refernce Ability Neural NetworksRF1AG038465 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HABECK, CHRISTIAN GEORG, STERN, YAAKOV · 2016 to 2018
$7.6M
The role of inflammation in the association between diet and Alzheimer's diseaseR01AG059013 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GU, YIAN · 2019 to 2023
$3.7M
Diet and Cognition within a Reserve frameworkR01AG061008 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GU, YIAN · 2020 to 2024
$3.3M
Imaging of Cognition, Learning and Memory in AgingR56AG026158 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI STERN, YAAKOV · 2010 to 2010
$379k
NIA NIH HHS R01 AG026158NIA NIH HHS R01 AG038465NIA NIH HHS R01 AG059013NIA NIH HHS R01 AG061008NIA NIH HHS R56 AG026158NIA NIH HHS RF1 AG038465
6 · The paper itself

Abstract

Greater engagement in cognitively stimulating activities (CSA) during adulthood has been shown to protect against neurocognitive decline, but no studies have investigated whether CSA during childhood protects against effects of brain changes on cognition later in life. The current study tested the moderating role of childhood CSA in the relationships between brain structure and cognitive performance during adulthood. At baseline (N=250) and 5-year follow-up (N=204) healthy adults aged 20-80 underwent MRI to assess four structural brain measures and completed neuropsychological tests to measure three cognitive domains. Participants were categorized into low and high childhood CSA based on self-report questionnaires. Results of multivariable linear regressions analyzing interactions between CSA, brain structure, and cognition showed that higher childhood CSA was associated with a weaker relationship between cortical thickness and memory at baseline, and attenuated the effects of change in cortical thickness and brain volume on decline in processing speed over time. These findings suggest higher CSA during childhood may mitigate the effects of brain structure changes on cognitive function later in life.

Indexed as

CognitionCognitive DysfunctionBrainHumansAgingCognitive activitiesCognitive performanceCognitive reserveStructural MRI

Identifiers

PMID38522385
PMCPMC11363693

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.