Evidence map›Paper›PMID 40909663›Full record

ArticlebioRxiv : the preprint server for biology2025

Slower transitions between control states lead to reductions in cognitive flexibility over the lifespan.

Ivan Grahek, Xiamin Leng, Alexander Fengler, Amitai Shenhav

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ivan GrahekDepartment of Psychology; Helen Wills Neuroscience Institute; University of California, Berkeley; Berkeley, CA, USA.ORCID 0000-0002-9247-5956
Xiamin LengDepartment of Psychology; Helen Wills Neuroscience Institute; University of California, Berkeley; Berkeley, CA, USA.ORCID 0000-0002-5517-7570
Alexander FenglerDepartment of Cognitive, Linguistic, and Psychological Sciences; Carney Institute for Brain Science; Brown University; Providence, RI, USA.
Amitai ShenhavDepartment of Psychology; Helen Wills Neuroscience Institute; University of California, Berkeley; Berkeley, CA, USA.ORCID 0000-0002-0222-0774

Funding

Neural and computational mechanisms of motivation and cognitive controlR01MH124849 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI SHENHAV, AMITAI · 2021 to 2025
$2.0M
NIMH NIH HHS R01 MH124849
6 · The paper itself

Abstract

Declines in cognitive flexibility are a hallmark of cognitive aging, but their causes remain elusive. Here, we examine a previously untested source of aging-related cognitive inflexibility, building on a dynamical systems framework for flexible cognition. We propose that cognitive inflexibility can arise in part from slower transitions through the space of distinct configurations of cognitive control needed to pursue different goals. To test this model, we had participants across the lifespan (aged 19-88) perform a cognitive task under different performance goals, each of which induced a different configuration of cognitive control. Using computational modeling, we measured dynamic changes in two control signals (attentional focus and response caution) as participants pursued distinct goals. This allowed us to test three potential sources of age-related decreases in cognitive flexibility: 1) diminished control capacity in environments that require more goal switching; 2) diminished range of control adjustments; and 3) slower transitions between control configurations. Of these, we found that age was only associated with transition speed. When given sufficient time to maintain a given goal, older adults were able to adjust control to a similar extent as younger adults. However, older adults were more likely to undershoot their target control configuration when frequently switching between goals, consistent with longer transition times between configurations. Our findings demonstrate the critical role that cognitive dynamics play in explaining the mechanisms through which cognitive inflexibility arises in older adulthood.

Indexed as

agingcognitive controlcognitive flexibilitydrift diffusion modeldynamical systems

Identifiers

PMID40909663
PMCPMC12407910

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.