Evidence map›Paper›PMID 42475772›Full record

Trial reportSchizophrenia research2026

The effect of monetary versus point-based rewards on effort-cost decision making in individuals at clinical high risk for psychosis.

Zachary Anderson, Victor Pokorny, Joshua Kenney, James M Gold, James A Waltz, Jason Schiffman, Lauren M Ellman, Elaine F Walker, Philip R Corlett, Scott W Woods and 4 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Schizophrenia research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Zachary AndersonDepartment of Psychology, Northwestern University, Evanston, IL, 60208, USA. Electronic address: zacharyanderson2024@u.northwestern.edu.
Victor PokornyDepartment of Psychology, Northwestern University, Evanston, IL, 60208, USA.
Joshua KenneyDepartment of Psychiatry, Yale University, New Haven, CT, 06519, USA.
James M GoldMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, 21228, USA.
James A WaltzMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, 21228, USA.
Jason SchiffmanDepartment of Psychological Science, 4201 Social and Behavioral Sciences Gateway, University of California, Irvine, CA, 92697, USA.
Lauren M EllmanDepartment of Psychology & Neuroscience, Temple University, Philadelphia, PA, 19122, USA.
Elaine F WalkerDepartment of Psychology and Program in Neuroscience, Emory University, Atlanta, GA, 30322, USA.
Philip R CorlettDepartment of Psychiatry, Yale University, New Haven, CT, 06519, USA.
Scott W WoodsDepartment of Psychiatry, Yale University, New Haven, CT, 06519, USA.
Albert R PowersDepartment of Psychiatry, Yale University, New Haven, CT, 06519, USA.
Steven M SilversteinDepartments of Psychiatry, Neuroscience and Ophthalmology, University of Rochester Medical Center, Rochester, NY, 14642, USA.
Gregory P StraussDepartments of Psychology and Neuroscience, University of Georgia, Athens, GA, 30602, USA.
Vijay A MittalDepartment of Psychology, Northwestern University, Evanston, IL, 60208, USA; Institutes for Policy Research (IPR) and Innovations in Developmental Sciences (DevSci), Departments of Psychology, Psychiatry, Medical Social Sciences, Northwestern University, Evanston, IL, 60208, USA.

Funding

2/9 - Predictors and Mechanisms of Conversion to PsychosisU01MH081988 · NIMH · EMORY UNIVERSITY · PI WALKER, ELAINE FRAN · 2008 to 2018
$5.4M
5/5 CAPER: Computerized Assessment of Psychosis RiskR01MH120089 · NIMH · YALE UNIVERSITY · PI CORLETT, PHILIP, WOODS, SCOTT W · 2020 to 2024
$3.1M
Prodromal Inventory for Negative Symptoms (PINS): A Development and Validation StudyR01MH116039 · NIMH · UNIVERSITY OF GEORGIA · PI MITTAL, VIJAY A, STRAUSS, GREGORY P · 2019 to 2023
$3.1M
1/5 CAPER: Computerized Assessment of ProdromE RiskR01MH120090 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI GOLD, JAMES M. · 2020 to 2024
$2.9M
4/5 CAPER: Computerized assessment of psychosis riskR01MH120092 · NIMH · UNIVERSITY OF GEORGIA · PI STRAUSS, GREGORY P · 2020 to 2024
$2.0M
2/5 CAPER Computerized assessment of psychosis riskR01MH120088 · NIMH · NORTHWESTERN UNIVERSITY · PI MITTAL, VIJAY A · 2020 to 2024
$2.0M
1/3-Community Psychosis Risk Screening: An Instrument Development Study SupplementR01MH112613 · NIMH · TEMPLE UNIV OF THE COMMONWEALTH · PI ELLMAN, LAUREN M · 2017 to 2022
$1.8M
CAPER: Computerized Assessment of Psychosis Risk SupplementR01MH120091 · NIMH · TEMPLE UNIV OF THE COMMONWEALTH · PI ELLMAN, LAUREN M · 2020 to 2024
$1.6M
Administrative Supplement - 3/3: Community Psychology Risk Screening: An Instrument Development StudyR01MH112612 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE COUNTY · PI PITTS, STEVEN C, SCHIFFMAN, JASON E · 2017 to 2022
$1.3M
2/3 Community psychosis risk screening: An instrument development studyR01MH112545 · NIMH · NORTHWESTERN UNIVERSITY · PI MITTAL, VIJAY A · 2017 to 2021
$1.2M
Mechanisms Underlying Emotion Regulation Abnormalities in Youth at Clinical High-Risk for PsychosisR21MH119438 · NIMH · UNIVERSITY OF GEORGIA · PI STRAUSS, GREGORY P · 2019 to 2020
$415k
NIMH NIH HHS R01 MH112545NIMH NIH HHS R01 MH112612NIMH NIH HHS R01 MH112613NIMH NIH HHS R01 MH116039NIMH NIH HHS R01 MH120088NIMH NIH HHS R01 MH120089NIMH NIH HHS R01 MH120090NIMH NIH HHS R01 MH120091NIMH NIH HHS R01 MH120092NIMH NIH HHS R21 MH119438NIMH NIH HHS U01 MH081988
6 · The paper itself

Abstract

objectiveThe dissemination of inexpensive computerized behavioral tasks indexing amotivation may enhance the assessment of clinical high risk (CHR) across settings. However, the impact of varying reward value in such tasks is unclear. If point-based rewards engage participants, this could improve the scalability of computerized assessments. We tested how point-based rewards versus money impacted effort-cost decision-making in CHR individuals. We further assessed how negative symptom severity and household income interacted with reward-type to impact behavior.

methodsParticipants completed the Effort Expenditure for Reward Task (EEfRT). Participants were randomly assigned to receive either money or points for their performance during the EEfRT. Data from a large sample of CHR (N = 233) individuals and healthy controls (HC; N = 157) were collected.

resultsAcross diagnostic groups, we observed heightened effort expenditure when money was used as a reward (b = 0.13, p = 0.018). We did not find an interaction of CHR status (b = 0.07, p = 0.845) or negative symptoms (b = 0.01, p = 0.429) with reward-type. Within CHR individuals, heightened negative symptom severity was associated with reduced expended effort (b = -0.03, p = 0.016), regardless of reward type. In an exploratory analysis, we found that individuals in the money condition with relatively high household income expended less effort during high reward, high probability trials (b = -0.24, p = 0.046).

conclusionsAcross CHR and HC individuals, individuals pursuing money expended greater effort. While we did not find a group by reward type interaction, CHR individuals with heightened negative symptom severity expended less effort across trials, replicating prior work. Present findings support further study of point-based rewards in tasks indexing amotivation.

Indexed as

Decision MakingMotivationPsychotic DisordersRewardAdolescentAdultFemaleHumansMaleRiskYoung AdultClinical high riskComputerized assessment batteryEffort-cost decision makingPsychosisReward salience

Identifiers

PMID42475772
PMCPMC13478951

What OpenQuestion holds

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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.