ReviewNeuroscience and biobehavioral reviews2023
Quantifying aberrant approach-avoidance conflict in psychopathology: A review of computational approaches.
Review in Neuroscience and biobehavioral reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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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Who cites it
18 citing papers in PubMed.
- Childhood Material Hardship Linked to Adolescent Neurocognition: A Computational Modeling Approach.Developmental science · 2026Article
- Anhedonia buffers the effects of early-life unpredictability on threat-reward decision-making.bioRxiv : the preprint server for biology · 2026Article
- A novel approach-avoidance task to study decision making under outcome uncertainty.Psychonomic bulletin & review · 2026Article
- Anxiety symptoms interact with approach motivations in adolescent risk-taking.Development and psychopathology · 2026Article
- The Tap-to-Safety Task: A Novel fMRI Paradigm Assessing Repetitive Threat-Neutralization.Human brain mapping · 2026Article
- Difficult-to-Treat Anxiety: A Neurocomputational Framework.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Review
- Overcoming Automatic Behavioral Tendencies in Approach-Avoidance Conflict Decisions.Psychophysiology · 2025Article
- Agent-Based Behavioral Modeling of Human Associative Learning in a Complex Approach-Avoidance Conflict Task.Computational brain & behavior · 2025Article
- The curious interpretation of novel object recognition tests.Trends in neurosciences · 2025Review
- Manipulation of interoceptive signaling biases decision making in rhesus macaques.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- A cell type-specific mechanism driving the rapid antidepressant effects of transcranial magnetic stimulation.bioRxiv : the preprint server for biology · 2025Article
- Beyond uniformity: individual sensitivities to reward and punishment shape midfrontal-theta responses to approach avoidance conflict.Social cognitive and affective neuroscience · 2025Article
- Computational Mechanisms of Approach-Avoidance Conflict Predictively Differentiate Between Affective and Substance Use Disorders.Computational psychiatry (Cambridge, Mass.) · 2025Article
- The 7 Muses of Neuro-Creative Cycle: How some patients with Parkinson's disease can unleash latent creativity.AIMS neuroscience · 2025Article
- Interoceptive Signals Bias Decision Making in Rhesus Macaques.bioRxiv : the preprint server for biology · 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
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Making effective decisions during approach-avoidance conflict is critical in daily life. Aberrant decision-making during approach-avoidance conflict is evident in a range of psychological disorders, including anxiety, depression, trauma-related disorders, substance use disorders, and alcohol use disorders. To help clarify etiological pathways and reveal novel intervention targets, clinical research into decision-making is increasingly adopting a computational psychopathology approach. This approach uses mathematical models that can identify specific decision-making related processes that are altered in mental health disorders. In our review, we highlight foundational approach-avoidance conflict research, followed by more in-depth discussion of computational approaches that have been used to model behavior in these tasks. Specifically, we describe the computational models that have been applied to approach-avoidance conflict (e.g., drift-diffusion, active inference, and reinforcement learning models), and provide resources to guide clinical researchers who may be interested in applying computational modeling. Finally, we identify notable gaps in the current literature and potential future directions for computational approaches aimed at identifying mechanisms of approach-avoidance conflict in psychopathology.
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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.