Evidence map›Paper›PMID 41963627›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2026

Sex-biased computations underlying differential set shift performance in mice.

Nic Glewwe, Evan M Dastin-van Rijn, Cathy S Chen, Erin Giglio, Evan Knep, R Becket Ebitz, Alik S Widge, Nicola M Grissom

Abstract read
In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Nic GlewweDepartment of Neuroscience, University of Minnesota, Minneapolis, MN, USA.ORCID http://orcid.org/0000-0002-2725-4137
Evan M Dastin-van RijnDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA.
Cathy S ChenDepartment of Psychiatry, University of Minnesota, Minneapolis, MN, USA.
Erin GiglioDepartment of Psychology, University of Minnesota, Minneapolis, MN, USA.
Evan KnepDepartment of Psychology, University of Minnesota, Minneapolis, MN, USA.
R Becket EbitzDépartement de Neurosciences, Université de Montréal, Montreal, Canada.ORCID http://orcid.org/0000-0001-5412-9502
Alik S Widge *Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA.ORCID http://orcid.org/0000-0001-8510-341X
Nicola M Grissom *Department of Psychology, University of Minnesota, Minneapolis, MN, USA. ngrissom@umn.edu.ORCID http://orcid.org/0000-0003-3630-8130

Funding

Using a computational and network neuroscience framework to study pharmacological manipulations of state representation processes in early psychosisP50MH119569 · NIMH · UNIVERSITY OF MINNESOTA · PI A DAVID REDISH, Sophia Vinogradov · 2020 to 2026
$24.5M
Modeling circuit-specific psychiatric deep brain stimulation and its cognitive effects in macaquesR01MH124687 · NIMH · UNIVERSITY OF MINNESOTA · PI HAYDEN, BENJAMIN Y, WIDGE, ALIK S. · 2020 to 2024
$3.5M
Circuit and Cognitive Mechanisms of Striatal Deep Brain StimulationR01NS120851 · NINDS · UNIVERSITY OF MINNESOTA · PI WIDGE, ALIK S. · 2021 to 2025
$3.0M
Sex-biased impacts of 16p11.2 variants on reward-guided choiceR01MH123661 · NIMH · UNIVERSITY OF MINNESOTA · PI GRISSOM, NICOLA · 2020 to 2024
$2.5M
Canada Research Chairs (Chaires de recherche du Canada) CRC-2022-00192NIMH NIH HHS P50 MH119569NIMH NIH HHS R01 MH123661NIMH NIH HHS R01 MH124687NINDS NIH HHS R01 NS120851U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) P50MH119569U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH123661U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH124687U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) R01NS120851
6 · The paper itself

Abstract

Cognitive flexibility can be defined as the ability to adaptively shift between choices or strategies based on environmental feedback. Flexibility is disrupted in numerous neuropsychiatric conditions. Individual differences in the computations supporting cognitive flexibility may reveal mechanisms of neuropsychiatric risk and resilience. One critical variable well known to influence individual differences in neuropsychiatric risk is sex. While previous research has identified sex differences in value based decision making in mice, whether sex reflects a major source of variation in cognitive flexibility remains unknown. To directly assess sex-biased individual differences in cognitive flexibility, we developed a novel touchscreen Set Shift task that permits robust and continuous testing in mice. Using this task, we discovered that female mice completed significantly more rule shifts with fewer errors than males. We next employed a suite of computational models that revealed sex-biased individual differences in the computations underlying cognitive flexibility. Our results suggest that following rule shifts, female mice learn the new rule faster and commit to exploiting rule choices sooner compared to males-sometimes because they follow multiple rules simultaneously. This suggests that increased choice stability in female rodents enhances commitment to a choice during periods of uncertainty and directly contributes to increased rule shifting. This supports the counterintuitive conclusion that a high degree of stable choice is a strong requirement for enhanced cognitive flexibility in the Set Shift task, one of the well-established cognitive flexibility tasks.

Indexed as

Choice BehaviorCognitive FlexibilitySex CharacteristicsAnimalsComputer SimulationFemaleMaleMiceMice, Inbred C57BL

Identifiers

PMID41963627
PMCPMC13389363

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.