Evidence map›Paper›PMID 38358695›Full record

ArticlePsychology and aging2024

Differential impacts of healthy cognitive aging on directed and random exploration.

Jack-Morgan Mizell, Siyu Wang, Alec Frisvold, Lily Alvarado, Alex Farrell-Skupny, Waitsang Keung, Caroline E Phelps, Mark H Sundman, Mary-Kathryn Franchetti, Ying-Hui Chou and 2 more

Abstract read
In one paragraph

Article in Psychology and aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Individual differences in sequential decision-making.bioRxiv : the preprint server for biology · 2025
    Article
  3. Individual differences in information demand have a low dimensional structure predicted by some curiosity traits.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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.

Jack-Morgan MizellUniversity of Arizona, Department of Psychology.
Siyu WangUniversity of Arizona, Department of Psychology.
Alec FrisvoldUniversity of Arizona, Department of Psychology.
Lily AlvaradoUniversity of Arizona, Department of Psychology.
Alex Farrell-SkupnyUniversity of Arizona, Department of Psychology.
Waitsang KeungUniversity of Arizona, Department of Psychology.
Caroline E PhelpsUniversity of Arizona, Department of Psychology.
Mark H SundmanUniversity of Arizona, Department of Psychology.
Mary-Kathryn FranchettiUniversity of Arizona, Department of Psychology.
Ying-Hui ChouUniversity of Arizona, Department of Psychology.
Gene E AlexanderUniversity of Arizona, Department of Psychology.
Robert C WilsonUniversity of Arizona, Department of Psychology.ORCID 0000-0002-2963-2971

Funding

Research Education ComponentP30AG019610 · NIA · SUN HEALTH RESEARCH INSTITUTE · PI REIMAN, ERIC MICHAEL · 2001 to 2020
$32.5M
Research Education ComponentP30AG072980 · NIA · BANNER HEALTH · PI ALIREZA ATRI · 2021 to 2026
$24.9M
Enhancement of Hippocampal Plasticity Using Repetitive Transcranial Magnetic StimulationR01AG062543 · NIA · UNIVERSITY OF ARIZONA · PI CHOU, YING-HUI · 2020 to 2024
$3.5M
Evaluating the Neurocomputational Mechanisms of Explore-Exploit Decision Making in Older AdultsR01AG061888 · NIA · UNIVERSITY OF ARIZONA · PI WILSON, ROBERT C · 2020 to 2024
$1.8M
Physical activity predictors of cognitive and brain health in the risk for Alzheimer's diseaseR56AG067200 · NIA · UNIVERSITY OF ARIZONA · PI ALEXANDER, GENE E, RAICHLEN, DAVID · 2020 to 2020
$767k
Evaluating the Neurocomputational Mechanisms of Explore-Exploit Decision Making in Older AdultsR56AG061888 · NIA · UNIVERSITY OF ARIZONA · PI WILSON, ROBERT C · 2018 to 2018
$339k
NIA NIH HHS P30 AG019610NIA NIH HHS P30 AG072980NIA NIH HHS R01 AG061888NIA NIH HHS R01 AG062543NIA NIH HHS R56 AG061888NIA NIH HHS R56 AG067200NIH HHS
6 · The paper itself

Abstract

Deciding whether to explore unknown opportunities or exploit well-known options is a ubiquitous part of our everyday lives. Extensive work in college students suggests that young people make explore-exploit decisions using a mixture of information seeking and random behavioral variability. Whether, and to what extent, older adults use the same strategies is unknown. To address this question, 51 older adults (ages 65-74) and 32 younger adults (ages 18-25) completed the Horizon Task, a gambling task that quantifies information seeking and behavioral variability as well as how these strategies are controlled for the purposes of exploration. Qualitatively, we found that older adults performed similar to younger adults on this task, increasing both their information seeking and behavioral variability when it was adaptive to explore. Quantitively, however, there were substantial differences between the age groups, with older adults showing less information seeking overall and less reliance on variability as a means to explore. In addition, we found a subset of approximately 26% of older adults whose information seeking was close to zero, avoiding informative options even when they were clearly the better choice. Unsurprisingly, these "information avoiders" performed worse on the task. In contrast, task performance in the remaining "information seeking" older adults was comparable to that of younger adults suggesting that age-related differences in explore-exploit decision making may be adaptive except when they are taken to extremes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Indexed as

Cognitive AgingGamblingHealthy AgingAdolescentAdultAgedAgingHumansStudentsYoung Adult

Identifiers

PMID38358695
PMCPMC10871551

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.