Evidence map›Paper›PMID 41422345›Full record

ArticleCommunications biology2025

Pupil size predicts exploration through critical slowing in prefrontal dynamics.

Akram Shourkeshti, Mojtaba Abbaszadeh, Gabriel Marrocco, Katarzyna Jurewicz, Tirin Moore, R Becket Ebitz

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Akram Shourkeshti *Department of Neurosciences, Université de Montréal, Montréal, QC, Canada.
Mojtaba Abbaszadeh *Department of Neurosciences, Université de Montréal, Montréal, QC, Canada.ORCID http://orcid.org/0000-0002-0170-8962
Gabriel MarroccoDepartment of Neurosciences, Université de Montréal, Montréal, QC, Canada.
Katarzyna JurewiczDepartment of Neurosciences, Université de Montréal, Montréal, QC, Canada.
Tirin MooreDepartment of Neurobiology, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-3345-2930
R Becket EbitzDepartment of Neurosciences, Université de Montréal, Montréal, QC, Canada. becket@ebitzlab.com.ORCID http://orcid.org/0000-0001-5412-9502

Funding

Interaction of Visual and Oculomotor Signals in CortexR01EY014924 · NEI · STANFORD UNIVERSITY · PI MOORE, TIRIN · 2004 to 2024
$7.3M
Fonds de Recherche du Québec - Santé (Fonds de la recherche en sante du Quebec) 284309Jacobs Foundation seed grantNEI NIH HHS R01 EY014924U.S. Department of Health & Human Services | NIH | National Eye Institute (NEI) R01-EY014924
6 · The paper itself

Abstract

In uncertain environments, intelligent decision-makers exploit actions that have been rewarding in the past, but also explore actions that could be better. Several studies link exploration to pupil size-a peripheral correlate of neuromodulatory tone and arousal. However, pupil size may only track variables that make exploration more likely, such as volatility or reward, without directly predicting exploration or its neural bases. Here, we simultaneously measured pupil size, exploration, and neural population activity in the prefrontal cortex while two male rhesus macaques explored and exploited in a dynamic environment. We find that pupil size under constant luminance specifically predicts the onset of exploration beyond effects of reward history. Pupil size also predicts disorganized patterns of prefrontal activity at the single neuron and population levels. Our results support a model in which pupil-linked mechanisms drive exploration by pushing prefrontal dynamics through a critical tipping point.

Indexed as

Exploratory BehaviorPrefrontal CortexPupilAnimalsMacaca mulattaMaleNeuronsReward

Identifiers

PMID41422345
PMCPMC12830900

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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.