ArticleeLife2022
Computational modeling of threat learning reveals links with anxiety and neuroanatomy in humans.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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.
The trial behind it
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Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- The human amygdala in threat learning and extinction.Science advances · 2026Article
- Computational Modelling Reveals Slower Safety Learning and Threat Extinction are Associated With Higher Anxiety Severity in Remote Fear Conditioning.Computational psychiatry (Cambridge, Mass.) · 2026Article
- A prospective study of pre-trauma fear learning and extinction as risk factors for posttraumatic stress disorder.Journal of mood and anxiety disorders · 2025Article
- Developmental differences in threat learning are associated with changes in frontal-central theta activity.European child & adolescent psychiatry · 2025Article
- A preliminary study of threat-anticipatory responding in Latina youth: associations with age, anxiety, and cortical thickness.Social cognitive and affective neuroscience · 2024Article
- Current and Future Approaches to Pediatric Anxiety Disorder Treatment.The American journal of psychiatry · 2024Review
- Broadening the scope: Multiple functional connectivity networks underlying threat conditioning and extinction.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Understanding anxiety symptoms as aberrant defensive responding along the threat imminence continuum.Neuroscience and biobehavioral reviews · 2023Review
- Anxiety as a disorder of uncertainty: implications for understanding maladaptive anxiety, anxious avoidance, and exposure therapy.Cognitive, affective & behavioral neuroscience · 2023Article
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 2 countries.
Funding
Abstract
Influential theories implicate variations in the mechanisms supporting threat learning in the severity of anxiety symptoms. We use computational models of associative learning in conjunction with structural imaging to explicate links among the mechanisms underlying threat learning, their neuroanatomical substrates, and anxiety severity in humans. We recorded skin-conductance data during a threat-learning task from individuals with and without anxiety disorders (N=251; 8-50 years; 116 females). Reinforcement-learning model variants quantified processes hypothesized to relate to anxiety: threat conditioning, threat generalization, safety learning, and threat extinction. We identified the best-fitting models for these processes and tested associations among latent learning parameters, whole-brain anatomy, and anxiety severity. Results indicate that greater anxiety severity related specifically to slower safety learning and slower extinction of response to safe stimuli. Nucleus accumbens gray-matter volume moderated learning-anxiety associations. Using a modeling approach, we identify computational mechanisms linking threat learning and anxiety severity and their neuroanatomical substrates.
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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.