ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2019
Impaired Expected Value Computations in Schizophrenia Are Associated With a Reduced Ability to Integrate Reward Probability and Magnitude of Recent Outcomes.
Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Effort-Cost Decision-making Among Individuals With Schizophrenia: A Systematic Review and Meta-analysis.JAMA psychiatry · 2023Pooled it
- Trial
- Value representation in youth psychopathology: evidence of a transdiagnostic risk mechanism for psychosis.Translational psychiatry · 2026Article
- Orbitofrontal Thickness and Network Associations as Transdiagnostic Signature of Amotivation Along the Bipolar-Schizophrenia Spectrum.Schizophrenia bulletin · 2026Article
- How working memory and reinforcement learning interact when avoiding punishment and pursuing reward concurrently.Journal of experimental psychology. General · 2025Article
- A generalized reward processing deficit pathway to negative symptoms across diagnostic boundaries.Psychological medicine · 2025Article
- Differing Pattern of Mismatch Negativity Responses in Clinical and Nonclinical Voice Hearers Challenge Predictive Coding Accounts of Psychosis.Biological psychiatry global open science · 2025Article
- Reward and fictive prediction error signals in ventral striatum: asymmetry between factual and counterfactual processing.Brain structure & function · 2021Article
- Retention of Value Representations Across Time in People With Schizophrenia and Healthy Control Subjects.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2021Article
- Disruption of Nrxn1α within excitatory forebrain circuits drives value-based dysfunction.eLife · 2020Article
- Enhancing Psychosis Risk Prediction Through Computational Cognitive Neuroscience.Schizophrenia bulletin · 2020Article
- Grant Report on Social Reward Learning in SchizophreniaJournal of psychiatry and brain science · 2020Article
- Impact of Positive Emotion Regulation Training on Negative Symptoms and Social Functioning in Schizophrenia: A Field Test.Frontiers in psychiatry · 2019Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
Abstract
backgroundMotivational deficits in people with schizophrenia (PSZ) are associated with an inability to integrate the magnitude and probability of previous outcomes. The mechanisms that underlie probability-magnitude integration deficits, however, are poorly understood. We hypothesized that increased reliance on "valueless" stimulus-response associations, in lieu of expected value (EV)-based learning, could drive probability-magnitude integration deficits in PSZ with motivational deficits.
methodsHealthy volunteers (n = 38) and PSZ (n = 49) completed a learning paradigm consisting of four stimulus pairs. Reward magnitude (3, 2, 1, 0 points) and probability (90%, 80%, 20%, 10%) determined each stimulus's EV. Following a learning phase, new and familiar stimulus pairings were presented. Participants were asked to select stimuli with the highest reward value.
resultsPSZ with high motivational deficits made increasingly less optimal choices as the difference in reward value (probability × magnitude) between two competing stimuli increased. Using a previously validated computational hybrid model, PSZ relied less on EV ("Q-learning") and more on stimulus-response learning ("actor-critic"), which correlated with Scale for the Assessment of Negative Symptoms motivational deficit severity. PSZ specifically failed to represent reward magnitude, consistent with model demonstrations showing that response tendencies in the actor-critic were preferentially driven by reward probability.
conclusionsProbability-magnitude deficits in PSZ with motivational deficits arise from underutilization of EV in favor of reliance on valueless stimulus-response associations. Confirmed by our computational hybrid framework, probability-magnitude integration deficits were driven specifically by a failure to represent reward magnitude. This work provides a first mechanistic explanation of complex EV-based learning deficits in PSZ with motivational deficits that arise from an inability to combine information from different reward modalities.
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Registered trials
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.