Addressing altered anticipation as a transdiagnostic target through computational psychiatry
Open accessAbstract
Anticipation of future experiences is a crucial cognitive function impacted in various psychiatric conditions. Despite significant research advancements, the mechanisms that underlie altered anticipation remain poorly understood, and effective targeted treatments are largely lacking. In this review, we propose an integrated computational psychiatry approach to addressing these challenges. We begin by outlining how altered anticipation presents across different psychiatric conditions, including schizophrenia, major depressive disorder, anxiety disorders, substance use disorders, and eating disorders, and summarizing the insights that have been gained from extensive research using self-report scales and task-based neuroimaging despite notable limitations. Then, we explore how emerging computational modeling approaches, such as reinforcement learning and anticipatory utility theory, could overcome these limitations and offer deeper insights into underlying mechanisms and individual variations. We propose that integrating these interdisciplinary methodologies can offer comprehensive transdiagnostic insights, aiding the discovery of new therapeutic targets and advancing precision psychiatry.
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Altered-anticipation and anticipatory-utility frameworks propose that attenuated precision on reward-error signals may reduce anticipatory pleasure and motivational drive.
“Recent altered-anticipation and anticipatory-utility frameworks propose that such attenuated precision on reward-error signals may reduce anticipatory pleasure and motivational drive (35).”
From Predictive coding and neurocomputational psychiatry: a mechanistic framework for understanding mental disorders (2026) · cites this paper as [35]
The Computational modeling approaches section (page not available) says prediction errors from advance reward information boost anticipatory utility, supporting the proposed link to anticipatory pleasure. It does not describe attenuated precision on reward-error signals or say that such attenuation reduces motivational drive. (LLM, conf=0.83)
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Flagged first, then by citations
Research works printed but not linked: 1
- [126]Sutton RS, Barto AG. Reinforcement Learning, second edition: An Introduction. MIT Press; 2018. 549 p.
Cited by
Sorted by citations
Shaw, A. D., Sumner, R. L., & Berndt, L. C. S. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1713833 · Cited by 9 · see citing works
Computational Psychiatry and Eating Disorders
Sepúlveda, P., Aitsahalia, I. F., Dong, S., & Iigaya, K. (2025) · doi:10.1093/9780197675212.003.0006
McKeegan, G. F. (2026) · Evidence-based practices in behavioral health · doi:10.1007/978-3-032-18372-9_15
- Authors
- Sepúlveda, P., Aitsahalia, I., Kumar, K., Atkin, T., & Iigaya, K.
- Affiliations
- Columbia University Irving Medical Center (US)
- Corresponding author
- Sepúlveda, Pradyumna
- Iigaya, Kiyohito
- Venue
- Biological Psychiatry Cognitive Neuroscience and Neuroimaging
- Publisher
- Elsevier BV
- Published
- 2025-09
- Volume
- 10
- Issue
- 9
- Pages
- 903-917
- ISSN
- 2451-9022 (ISSN-L)
- PMC
- PMC12353521
- OpenAlex
- W4408223864
- Cited by
- 3
- References
- 186
- Citations by year
- 2026: 2 · 2025: 1
- FWCI
- 0.19
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Biological Psychiatry Cognitive Neuroscience and Neuroimaging (acceptedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- OSF Preprints (OSF Preprints) (submittedVersion, cc-by)
- Funders
- NIH (R01MH136214)
- NSF (2022342390)
- Leon Levy Foundation
- National Alliance for Research on Schizophrenia and Depression
- Brain and Behavior Research Foundation
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Arts and Humanities › Philosophy › Mental Health and Psychiatry
- Keywords
- anticipation, computational psychiatry, transdiagnostic mechanisms, reinforcement learning, schizophrenia, major depressive disorder, anxiety disorders, substance use disorders, eating disorders, precision psychiatry, therapeutic target
- MeSH terms
- Mental Disorders, Brain, Humans, Psychiatry, Anticipation, Psychological
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