ArticleScientific reports2021
Long-term stability of computational parameters during approach-avoidance conflict in a transdiagnostic psychiatric patient sample.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 47 citations in OpenAlex.
- Computational mechanisms of learning and forgetting differentiate affective and substance use disorders.Molecular psychiatry · 2026Article
- Human approach-avoidance conflict behaviour relates to transdiagnostic psychiatric symptom dimensions.Translational psychiatry · 2026Article
- Learn how to be effective: neural and computational insights into charity efficiency learning.Social cognitive and affective neuroscience · 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
- The High-Risk Model of Threat Perception Modulates Learning of Placebo and Nocebo Effects and Functional Somatic Disorders.Brain sciences · 2025Review
- The role of affective states in computational psychiatry.The international journal of neuropsychopharmacology · 2025Review
- Overcoming Automatic Behavioral Tendencies in Approach-Avoidance Conflict Decisions.Psychophysiology · 2025Article
- Computational Mechanisms of Approach-Avoidance Conflict Predictively Differentiate Between Affective and Substance Use Disorders.Computational psychiatry (Cambridge, Mass.) · 2025Article
- How Distributed Subcortical Integration of Reward and Threat May Inform Subsequent Approach-Avoidance Decisions.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Cognitive Signatures of Depressive and Anhedonic Symptoms and Affective States Using Computational Modeling and Neurocognitive Testing.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024Article
- The neurocomputational link between defensive cardiac states and approach-avoidance arbitration under threat.Communications biology · 2024Article
- Test-retest reliability of behavioral and computational measures of advice taking under volatility.PloS one · 2024Article
- Active learning impairments in substance use disorders when resolving the explore-exploit dilemma: A replication and extension of previous computational modeling results.Drug and alcohol dependence · 2023Article
- Barriers and solutions to the adoption of translational tools for computational psychiatry.Molecular psychiatry · 2023Review
- Computational models of behavioral addictions: State of the art and future directions.Addictive behaviors · 2023Review
- Reward Maximization Through Discrete Active Inference.Neural computation · 2023Article
- Invasive Computational Psychiatry.Biological psychiatry · 2023Review
- Active learning impairments in substance use disorders when resolving the explore-exploit dilemma: A replication and extension of previous computational modeling results.medRxiv : the preprint server for health sciences · 2023Article
- Quantifying aberrant approach-avoidance conflict in psychopathology: A review of computational approaches.Neuroscience and biobehavioral reviews · 2023Review
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
Maladaptive behavior during approach-avoidance conflict (AAC) is common to multiple psychiatric disorders. Using computational modeling, we previously reported that individuals with depression, anxiety, and substance use disorders (DEP/ANX; SUDs) exhibited differences in decision uncertainty and sensitivity to negative outcomes versus reward (emotional conflict) relative to healthy controls (HCs). However, it remains unknown whether these computational parameters and group differences are stable over time. We analyzed 1-year follow-up data from a subset of the same participants (N = 325) to assess parameter stability and relationships to other clinical and task measures. We assessed group differences in the entire sample as well as a subset matched for age and IQ across HCs (N = 48), SUDs (N = 29), and DEP/ANX (N = 121). We also assessed 2-3 week reliability in a separate sample of 30 HCs. Emotional conflict and decision uncertainty parameters showed moderate 1-year intra-class correlations (.52 and .46, respectively) and moderate to excellent correlations over the shorter period (.84 and .54, respectively). Similar to previous baseline findings, parameters correlated with multiple response time measures (ps < .001) and self-reported anxiety (r = .30, p < .001) and decision difficulty (r = .44, p < .001). Linear mixed effects analyses revealed that patients remained higher in decision uncertainty (SUDs, p = .009) and lower in emotional conflict (SUDs, p = .004, DEP/ANX, p = .02) relative to HCs. This computational modelling approach may therefore offer relatively stable markers of transdiagnostic psychopathology.
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