Evidence map›Paper›PMID 40424533›Full record

ArticleSchizophrenia bulletin2026

Advancing Understanding of Treatment Response in Schizophrenia With Psychosis Using a Novel Dynamic Reward Task.

Ju-Chun Pei, Chia-Yuan Chang, Ya-Wen Liu, Ching Chen, Ching-Yi Liu, Ming H Hsieh, Chih-Min Liu, Wen-Sung Lai

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In one paragraph

Article in Schizophrenia bulletin, 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

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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

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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

8 authors.

Ju-Chun PeiDepartment of Psychology, National Taiwan University, Taipei, Taiwan.
Chia-Yuan ChangDepartment of Psychology, National Taiwan University, Taipei, Taiwan.
Ya-Wen LiuDepartment of Psychology, National Taiwan University, Taipei, Taiwan.
Ching ChenDepartment of Psychology, National Taiwan University, Taipei, Taiwan.
Ching-Yi LiuDepartment of Psychology, National Taiwan University, Taipei, Taiwan.
Ming H HsiehDepartment of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan.
Chih-Min LiuDepartment of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan.
Wen-Sung LaiDepartment of Psychology, National Taiwan University, Taipei, Taiwan.

Funding

MOST/NSTC 113-2423-H-002-010, 113-2321-B-002-031, 112-2321-B-002-022, 111-2423-H-002-009, and 110-2410-H-002-235-MY3National Taiwan University
6 · The paper itself

Abstract

background and hypothesisSchizophrenia presents significant treatment challenges, particularly due to medication resistance observed in some patients receiving antipsychotics. Emerging research suggests a potential link between impaired reinforcement learning, the severity of psychotic symptoms, and dopamine system abnormalities. Exploring reinforcement learning in therapeutic settings could provide critical insights into the efficacy of antipsychotic treatments. This study aimed to investigate whether neurocognitive profiles, specifically choice strategies and model fitting parameters assessed using the Dynamic Reward Task (DRT), could provide insights into treatment response variability among patients with schizophrenia. STUDY

designWe conducted a comprehensive neurocognitive assessment on chronic schizophrenia patients experiencing psychotic relapse, categorized by treatment response (high-response vs low-response). Participants underwent DRT, Wisconsin Card Sorting Test (WCST), and Continuous Performance Test (CPT) to evaluate reward processing, executive function, and sustained attention, respectively. We employed statistical analyses to compare task performance between groups and assess changes before and after antipsychotic treatment. STUDY

resultsWe identified significant differences in treatment effects across different response groups in DRT scores, choice strategies, and model-fitting parameters. Conversely, all schizophrenia groups had consistent abnormalities on the WCST and CPT evaluations compared to controls.

conclusionsOur findings highlight the efficacy of DRT, WCST, and CPT in delineating neurocognitive profiles relevant to treatment response in schizophrenia. Specifically, the DRT effectively differentiated between high- and low-response patients. Distinct deficits in reward processing and executive function identified here may serve as potential indicators, informing personalized treatment strategies tailored to individual responses to antipsychotic medication.

Indexed as

Antipsychotic AgentsCognitive DysfunctionExecutive FunctionNeuropsychological TestsOutcome Assessment, Health CarePsychomotor PerformancePsychotic DisordersRewardSchizophreniaAdultFemaleHumansMaleMiddle AgedYoung AdultAntipsychotic Agentschoice consistencydynamic reward taskneurocognitive predictorsreinforcement learningschizophrenia treatment responsevalue update

Identifiers

PMID40424533
PMCPMC12996913

What OpenQuestion holds

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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.