Evidence map›Paper›PMID 41243112›Full record

SynthesisBehavioral and brain functions : BBF2025

Aging-related changes in cognitive flexibility: fMRI meta-analysis.

Zhanna Chuikova, Andrei Faber, Andrei Filatov, Andriy Myachykov, Yury Shtyrov, Marie Arsalidou

Abstract readMeta-Analysis
In one paragraph

Synthesis in Behavioral and brain functions : BBF, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Zhanna ChuikovaCognitive Health and Intelligence Centre, Institute for Cognitive Neuroscience, HSE University, Moscow, Russian Federation. zhanna7496@mail.ru.
Andrei FaberLaboratory for Cognitive Research, School of Psychology, Faculty of Social Sciences, HSE University, Moscow, Russian Federation.
Andrei FilatovInstitute for Oriental and Classical Studies, HSE University, Moscow, Russian Federation.
Andriy MyachykovCognitive Health and Intelligence Centre, Institute for Cognitive Neuroscience, HSE University, Moscow, Russian Federation.
Yury ShtyrovCenter of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark.
Marie ArsalidouYork University, Toronto, Canada. marie.arsalidou@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive flexibility-the ability to adaptively shift between different mental processes-is essential for human functioning. This meta-analysis examines age-related changes in neural correlates of cognitive flexibility using two common assessments: the Wisconsin Card Sorting Test (rule-discovery) and Task-Switching Paradigm (rule-retrieval). We synthesized findings from 85 articles comprising 118 experiments with 2246 participants across young, middle-age, and older adult groups. Activation Likelihood Estimation analyses revealed an age-related decrease in neural involvement, particularly in posterior regions, with an anterior shift in older adults. Younger adults exhibited bilateral activation patterns while older adults showed left-dominant activity, indicating neural circuit redistribution. Rule-retrieval tasks consistently engaged left-lateralized frontoparietal regions across all age groups, with middle-age adults additionally recruiting the right cerebellum and medial frontal gyrus. For rule-discovery tasks, age-related changes were observed in bilateral frontoparietal regions, with older adults showing unique activation in the left inferior frontal gyrus. These findings highlight differential aging trajectories for rule-retrieval versus rule-discovery processes, reflecting changes in neural mechanisms with aging. Furthermore, middle-age adults recruited additional regions related to conflict monitoring, whereas older adults relied more on planning-related areas, suggesting strategy differences. Our study provides critical insights into the neural underpinnings of cognitive flexibility and its age-related changes, emphasizing the need for research on mechanisms and task-specific age trajectories.

Indexed as

AgingBrainCognitionExecutive FunctionAdultAgedBrain MappingCognitive FlexibilityFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedWisconsin Card Sorting TestYoung AdultAgingCognitive flexibilityfMRIRule-discoveryRule-retrievalTask switching paradigmWisconsin card sorting test

Identifiers

PMID41243112
PMCPMC12621379

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.