ReviewAnnual review of psychology2022
Computational Psychiatry Needs Time and Context.
Review in Annual review of psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.
What it found
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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.
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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.
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Who cites it
64 citing papers in PubMed.
- Cognitive markers for efficacy of neurofeedback for attention-deficit hyperactivity disorder - personalized medicine using computational psychiatry in a randomized clinical trial.Journal of clinical and experimental neuropsychology · 2023Trial
- Responsible and innovative AI for mental health care: five priority themes.NPP - digital psychiatry and neuroscience · 2026Review
- Widely used bandit tasks elicit diverging belief updating phenotypes in healthy adults.Research square · 2026Article
- Cognitive modeling of real-world behavior for understanding mental health.Trends in cognitive sciences · 2026Review
- Setting digital psychiatry in motion: towards dynamic digital markers for digital phenotyping.NPP - digital psychiatry and neuroscience · 2026Review
- The effect of sleep-wake behaviors on the onset of mania in youth: A computational model.European psychiatry : the journal of the Association of European Psychiatrists · 2026Article
- Perceive-Assess-Dose-Safeguard: a safety-gated state-action grammar for psychotherapy micro-decisions in computational psychiatry.Frontiers in psychiatry · 2026Article
- From symptom-based heterogeneity to mechanism-based profiling in youth ADHD: the promise of computational psychiatry.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Review
- (Re)building Cooperation: Effects of a Cognitive Intervention on Cooperative Behaviour in Games.Computational psychiatry (Cambridge, Mass.) · 2026Article
- Attenuated learning rates for negative outcomes in substance use disorders: A replication and extension of prior longitudinal computational modeling results.Drug and alcohol dependence · 2026Article
- Decision-Making in Repeated Games: Insights from Active Inference.Behavioral sciences (Basel, Switzerland) · 2025Review
- Shedding light on the dynamic interplay of positive and negative symptoms of psychosis with Behavioral Tractography.NPJ digital medicine · 2025Article
- How working memory and reinforcement learning interact when avoiding punishment and pursuing reward concurrently.Journal of experimental psychology. General · 2025Article
- Article
- Self-other generalisation shapes social interaction and is disrupted in borderline personality disorder.eLife · 2025Article
- Developing algorithmic psychiatry via multi-level spanning computational models.Cell reports. Medicine · 2025Review
- Using computational models of learning to advance cognitive behavioral therapy.Communications psychology · 2025Review
- Day-to-day fluctuations in motivation drive effort-based decision-making.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Text mining of outpatient narrative notes to predict the risk of psychiatric hospitalization.Translational psychiatry · 2025Article
- Embracing variability in the search for biological mechanisms of psychiatric illness.Trends in cognitive sciences · 2025Review
4 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Why has computational psychiatry yet to influence routine clinical practice? One reason may be that it has neglected context and temporal dynamics in the models of certain mental health problems. We develop three heuristics for estimating whether time and context are important to a mental health problem: Is it characterized by a core neurobiological mechanism? Does it follow a straightforward natural trajectory? And is intentional mental content peripheral to the problem? For many problems the answers are no, suggesting that modeling time and context is critical. We review computational psychiatry advances toward this end, including modeling state variation, using domain-specific stimuli, and interpreting differences in context. We discuss complementary network and complex systems approaches. Novel methods and unification with adjacent fields may inspire a new generation of computational psychiatry.
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What Socratic holds
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 Socratic graph.