ReviewNeuron2014
Computational psychiatry.
Review in Neuron, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04189939 (Computational Psychiatric Approach for Prognosis of Medication-Resistant Depression), which is not on this map. Cited by 167 papers.
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.
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.
Computational Psychiatric Approach for Prognosis of Medication-Resistant Depression
Who cites it
167 citing papers in PubMed.
- Prior Expectations of Volatility Following Psychotherapy for Delusions: A Randomized Clinical Trial.JAMA network open · 2025Trial
- Computational Mechanisms of Effort and Reward Decisions in Patients With Depression and Their Association With Relapse After Antidepressant Discontinuation.JAMA psychiatry · 2020Trial
- Subgenual anterior cingulate cortex controls sadness-induced modulations of cognitive and emotional network hubs.Scientific reports · 2018Trial
- Apical integration theory provides a neural basis for understanding disorganization and consciousness in the schizophrenias.Current research in neurobiology · 2026Article
- Reliability of computational versus noncomputational metrics of working memory and episodic memory in serious mental illness.Journal of psychopathology and clinical science · 2026Article
- Effort and substance use: differentiating tobacco use through reinforcement learning of effort based decision making.Journal of computational neuroscience · 2026Article
- Artificial Intelligence in Psychiatry: Five Decades of Progress and Persistent Translational Challenges.Psychiatric research and clinical practice · 2026Article
- Computational mechanisms of learning and forgetting differentiate affective and substance use disorders.Molecular psychiatry · 2026Article
- Aesthetic Anhedonia and Psychotic Hyper-Meaning: Dysregulated Symbolic Closure Dynamics.Integrative psychological & behavioral science · 2026Article
- Transcranial Ultrasound Stimulation as an Emerging Treatment for Substance use Disorder: Promise and Precaution.Current addiction reports · 2026Review
- From microstates to macroscales: A Critical Review of Maximum Entropy Modeling and Energy Landscape Analysis in functional MRI.Research square · 2025Article
- Refining mechanistic models of hallucinations for enhanced translatability.Translational psychiatry · 2025Review
- Large-scale maps of altered cortical dynamics in early-stage psychosis are related to GABAergic and glutamatergic neurotransmission.Science advances · 2025Article
- A Foraging-Theory-Based Model Captures the Spectrum of Human Behavioral Diversity in Sequential Decision Making.bioRxiv : the preprint server for biology · 2025Article
- A corticostriatal learning mechanism linking excess striatal dopamine and auditory hallucinations.bioRxiv : the preprint server for biology · 2025Article
- A Computational Account of the Development and Evolution of Psychotic Symptoms.Biological psychiatry · 2025Review
- Moving beyond diagnostic labels in psychiatry: outcome-linked treatment modelling.General psychiatry · 2025Article
- The Future of Perceptual Dysregulation in Psychiatric Nosology.Current topics in behavioral neurosciences · 2025Review
- Quantitative Systems Pharmacology Development and Application in Neuroscience.Handbook of experimental pharmacology · 2025Review
- Disruption of consciousness depends on insight in obsessive-compulsive disorder and on positive symptoms in schizophrenia.Neuroscience of consciousness · 2025Article
107 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
2 authors.
Funding
Abstract
Psychiatric disorders such as autism and schizophrenia, arise from abnormalities in brain systems that underlie cognitive, emotional, and social functions. The brain is enormously complex and its abundant feedback loops on multiple scales preclude intuitive explication of circuit functions. In close interplay with experiments, theory and computational modeling are essential for understanding how, precisely, neural circuits generate flexible behaviors and their impairments give rise to psychiatric symptoms. This Perspective highlights recent progress in applying computational neuroscience to the study of mental disorders. We outline basic approaches, including identification of core deficits that cut across disease categories, biologically realistic modeling bridging cellular and synaptic mechanisms with behavior, and model-aided diagnosis. The need for new research strategies in psychiatry is urgent. Computational psychiatry potentially provides powerful tools for elucidating pathophysiology that may inform both diagnosis and treatment. To achieve this promise will require investment in cross-disciplinary training and research in this nascent field.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.