ReviewFrontiers in psychiatry2021
TAPAS: An Open-Source Software Package for Translational Neuromodeling and Computational Psychiatry.
Review in Frontiers in psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
87 citing papers in PubMed, 165 citations in OpenAlex.
- The functional neuroanatomy of event-based and time-based prospective memory, and its improvement.Communications biology · 2026Trial
- Sleep deprivation and sleep intensity exert distinct effects on cerebral vasomotion and brain pulsations driven by the respiratory and cardiac cycles.PLoS biology · 2025Trial
- Brain modulation after exergaming training in advanced forms of Parkinson's disease: a randomized controlled study.Journal of neuroengineering and rehabilitation · 2024Trial
- Dynamic reconfiguration of directed effective connectivity between attention networks and the default mode network in knee osteoarthritis: a combined resting-state and non-noxious thermal stimulation functional magnetic resonance imaging study.The Korean journal of pain · 2026Article
- Brain Dynamics Underlying Reaching Movements Under Uncertainty.Human brain mapping · 2026Article
- Predicting emotional valence in autism: a preregistered study in the Bayesian Brain framework.Molecular autism · 2026Article
- cpm: A python library for theory-driven modelling in computational psychiatry.PLoS computational biology · 2026Article
- pyhgf: A neural network library for predictive coding.PLoS computational biology · 2026Article
- Task context is broadly encoded in the human brain.bioRxiv : the preprint server for biology · 2026Article
- Prefrontal dysregulation of interoceptive and emotional processing in episodic migraine: a task-based fMRI study.The journal of headache and pain · 2026Article
- When attention falters: brain, breathing, and behavioral signals of lapses in interoceptive attention.bioRxiv : the preprint server for biology · 2026Article
- The relationship between regular substance use and cost comparisons in stable and volatile learning contexts.Translational psychiatry · 2026Article
- Prediction-based attention computing: a proof of concept study.Virtual reality · 2026Article
- The Impact of Prior Beliefs about Volatility on Adaptive Behavior.Journal of cognition · 2026Article
- The motion sensitivity and predictive utility of different estimates of interregional functional coupling in resting-state functional MRI.Network neuroscience (Cambridge, Mass.) · 2026Article
- Neural Dynamics of Social Cognition: A Single-Trial Computational Analysis of Learning Under Uncertainty.Human brain mapping · 2026Article
- Early electrophysiological responses reflect precision-weighted prediction errors to face features.PloS one · 2026Article
- Midbrain hypoactivation and mesocortical hypoconnectivity in inhibitory control learning in autism.Brain communications · 2026Article
- Computational Modeling of Uncertainty and Volatility Beliefs in Escape-Avoidance Learning: Comparing Individuals with and Without Suicidal Ideation.Journal of personalized medicine · 2025Article
- Controllability changes pain perception by increasing the precision of expectations.Nature communications · 2025Article
27 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
21 authors at 4 institutions in 7 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Psychiatry faces fundamental challenges with regard to mechanistically guided differential diagnosis, as well as prediction of clinical trajectories and treatment response of individual patients. This has motivated the genesis of two closely intertwined fields: (i) Translational Neuromodeling (TN), which develops "computational assays" for inferring patient-specific disease processes from neuroimaging, electrophysiological, and behavioral data; and (ii) Computational Psychiatry (CP), with the goal of incorporating computational assays into clinical decision making in everyday practice. In order to serve as objective and reliable tools for clinical routine, computational assays require end-to-end pipelines from raw data (input) to clinically useful information (output). While these are yet to be established in clinical practice, individual components of this general end-to-end pipeline are being developed and made openly available for community use. In this paper, we present the
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.