Evidence map›Paper›PMID 39509918›Full record

ArticleNeurobiology of aging2025

A neural implementation of cognitive reserve: Insights from a longitudinal fMRI study of set-switching in aging.

Fatemeh Hasanzadeh, Christian Habeck, Yunglin Gazes, Yaakov Stern

Abstract read
In one paragraph

Article in Neurobiology of aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. 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

4 authors.

Fatemeh HasanzadehCognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY, United States; Gertrude H. Sergievsky Center, Columbia University, New York, NY, United States.
Christian HabeckCognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY, United States; Gertrude H. Sergievsky Center, Columbia University, New York, NY, United States; Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, United States.
Yunglin GazesCognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY, United States; Gertrude H. Sergievsky Center, Columbia University, New York, NY, United States; Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, United States; Montclair State University, Department of Psychology, Montclair, NJ, United States.
Yaakov SternCognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY, United States; Gertrude H. Sergievsky Center, Columbia University, New York, NY, United States; Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, United States. Electronic address: ys11@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
NIA NIH HHS R01 AG026158NIA NIH HHS R01 AG038465
6 · The paper itself

Abstract

Aging is often accompanied by changes in brain structure and executive functions, particularly in tasks involving cognitive flexibility, such as task-switching. However, substantial individual differences in the degree of cognitive impairment indicate that some individuals can cope with brain changes more effectively than others, suggesting higher cognitive reserve (CR). This study identified a neural basis for CR by examining the longitudinal relationship between task-related brain activation, structural brain changes, and changes in cognitive performance during an executive task-switching paradigm including single and dual conditions. Fifty-two older individuals were assessed at baseline and followed up after five years. Structural brain changes related to task-switching performance were analyzed using elastic net regression. Task-related functional brain activation was measured using ordinal trends canonical variate analysis (OrT CVA), capturing patterns of activation increasing from single to dual conditions. A differential task-related expression score (dOrT) was calculated as the difference in pattern expression scores between single and dual conditions at baseline. A linear regression model tested whether dOrT moderated the impact of brain changes on changes in switch cost over five years. Results showed a significant interaction between changes in brain structure and dOrT activation on switch cost change, indicating a moderation effect of task-related activation. Higher dOrT buffered the impact of brain structural decline on switch costs, enabling older adults to better cope with age-related brain structural changes and preserve cognitive flexibility. These findings suggest that these task-related activation patterns represent a neural basis for CR.

Indexed as

AgingBrainCognitionCognitive ReserveExecutive FunctionMagnetic Resonance ImagingAgedAged, 80 and overFemaleHumansLongitudinal StudiesMaleMiddle AgedAgingCognitive changeCognitive reservefMRILongitudinalTask-switching

Identifiers

PMID39509918
PMCPMC11578778

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Registered trials

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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.