Evidence map›Paper›PMID 41152694›Full record

ArticleObesity (Silver Spring, Md.)2026

Weight Loss After Obesity Disrupts Cognitive Flexibility Through Reinforcement Learning Strategies.

Yufan Li, Reema Sharma, Abigail Usiyevich, Xiwen Shen, Kelly W Zhang, Koulik Khamaru, Bridget A Matikainen-Ankney

Abstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Yufan LiBehavioral and Systems Neuroscience, Psychology Department, Rutgers University, Piscataway, New Jersey, USA.
Reema SharmaBehavioral and Systems Neuroscience, Psychology Department, Rutgers University, Piscataway, New Jersey, USA.
Abigail UsiyevichBehavioral and Systems Neuroscience, Psychology Department, Rutgers University, Piscataway, New Jersey, USA.
Xiwen ShenBank of Suzhou Co, Suzhou, Jiangsu, China.
Kelly W ZhangDepartment of Mathematics, Imperial College London, London, UK.ORCID https://orcid.org/0000-0003-0850-4978
Koulik KhamaruDepartment of Statistics, Rutgers University, Piscataway, New Jersey, USA.
Bridget A Matikainen-AnkneyBehavioral and Systems Neuroscience, Psychology Department, Rutgers University, Piscataway, New Jersey, USA.ORCID https://orcid.org/0000-0001-9217-2448

Funding

Defining the neural basis for persistent obesityK01DK134804 · NIDDK · RUTGERS, THE STATE UNIV OF N.J. · PI MATIKAINEN-ANKNEY, BRIDGET · 2023 to 2025
$456k
NIDDK NIH HHS K01 DK134804NIH HHS DK134804Rutgers University
6 · The paper itself

Abstract

objectiveDespite successful weight loss, many individuals with obesity regain weight, yet cognitive factors in the weight loss state remain unclear. Here, we tested whether obesity induces deficits in cognitive flexibility, a core component of reinforcement learning (RL), after body weight normalizes.

methodsMale and female C57BL/6J mice were exposed to high-fat diet-induced obesity followed by weight loss. Weight loss and control mice were tested on a modified probabilistic reversal learning (PRL) task to assess cognitive flexibility and a progressive-ratio (PR) task to evaluate motivation. RL modeling was applied to dissociate latent decision-making parameters.

resultsPost-weight-loss mice exhibited persistent impairments in PRL efficiency. Males showed reduced late-phase reversal efficiency (p < 0.001), while females showed early-phase inefficiency but later recovery (p < 0.05). RL modeling revealed reduced learning rates in both sexes, indicating impaired value updating despite intact motivation, as PR performance did not differ between groups. Across tasks, food intake remained unchanged, suggesting reduced efficiency reflected cognitive inflexibility rather than diminished appetite.

conclusionsWeight loss after obesity produced sex-specific RL deficits. These findings dissociated motivational drive from cognitive flexibility and highlighted maladaptive decision-making as a feature of the weight loss state. This demonstrates the need for targeted interventions addressing post-weight-loss cognitive barriers.

Indexed as

CognitionObesityReinforcement, PsychologyWeight LossAnimalsCognitive FlexibilityDiet, High-FatFemaleMaleMiceMice, Inbred C57BLMotivationReversal Learning

Identifiers

PMID41152694
PMCPMC12724028

What OpenQuestion holds

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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.