Evidence map›Paper›PMID 41275966›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2026

Understanding Effort-Cost Decision-Making Mechanisms in Mood and Psychotic Disorders: A Computational Modeling Approach Across Physical and Cognitive Effort Paradigms.

Xiaoyu Dong, Jessica A Cooper, Erin K Moran, Deanna M Barch

Abstract read
In one paragraph

Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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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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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xiaoyu DongDepartment of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri. Electronic address: d.jojo@wustl.edu.
Jessica A CooperDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia.
Erin K MoranDepartment of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri.
Deanna M BarchDepartment of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri; Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri; Department of Radiology, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri.

Funding

Effort-Based Decision Making and Motivated Behavior in Everyday LifeR37MH066031 · NIMH · WASHINGTON UNIVERSITY · PI Deanna Barch · 2018 to 2026
$6.5M
Schizophrenia, Prefrontal Cortex, and Emotion RegulationR01MH066031 · NIMH · WASHINGTON UNIVERSITY · PI BARCH, DEANNA · 2004 to 2014
$4.1M
From stress to anhedonia: examining inflammation and altered glutamate function as distinct or common etiological pathwaysK01MH126308 · NIMH · EMORY UNIVERSITY · PI Jessica Cooper Robinson · 2022 to 2026
$900k
NIMH NIH HHS K01 MH126308NIMH NIH HHS R01 MH066031NIMH NIH HHS R37 MH066031
6 · The paper itself

Abstract

backgroundEffort-cost decision making (ECDM) is a core component of motivational deficits across diagnostic boundaries, but the mechanisms underlying ECDM deficits are not yet fully understood. Importantly, similar behavioral phenotypes during ECDM paradigms may be associated with distinct underlying cognitive and affective processes across individuals.

methodsWe used a person-centered modeling approach to examine individual decision-making phenotypes (systematic or nonsystematic decision making) during both physical and cognitive ECDM in 5 diagnostic groups: healthy control (n = 90), schizophrenia spectrum disorder (SSD) (n = 67), current major depression (n = 70), remitted major depression (n = 52), and bipolar I disorder (n = 64). We examined the associations between ECDM phenotype, cognitive functioning, motivation, and diagnostic group.

resultsWe found significant diagnostic group differences in the ECDM phenotype, such that individuals with an SSD, but not current or remitted major depression or bipolar disorder, were less likely to incorporate changing trialwise reward value information in cognitive effort exertion, with the same trend for physical effort. In all diagnostic groups, nonsystematic decision making was associated with lower cognitive functioning but not lower motivation. In addition, individuals with an SSD showed steeper effort discounting during both physical and cognitive ECDM paradigms.

conclusionsThese findings point toward substantial individual differences in ECDM phenotypes both within and across diagnostic boundaries, suggesting that deficits in subjective value representation may be more prevalent in psychosis compared with in mood disorders.

Indexed as

Bipolar DisorderDecision MakingMajor Depressive DisorderMotivationPsychotic DisordersSchizophreniaAdultCognitionComputer SimulationFemaleHumansMaleMiddle AgedRewardComputational modelingDepressionEffort-cost decision makingSchizophreniaSubjective value

Identifiers

PMID41275966
PMCPMC12782055

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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 Socratic graph.