Reframing PTSD for computational psychiatry with the active inference framework
Open accessAbstract
Introduction: Recent advances in research on stress and, respectively, on disorders of perception, learning, and behaviour speak to a promising synthesis of current insights from (i) neurobiology, cognitive neuroscience and psychology of stress and post-traumatic stress disorder (PTSD), and (ii) computational psychiatry approaches to pathophysiology (e.g. of schizophrenia and autism).Methods: Specifically, we apply this synthesis to PTSD. The framework of active inference offers an embodied and embedded lens through which to understand neuronal mechanisms, structures, and processes of cognitive function and dysfunction. In turn, this offers an explanatory model of how healthy mental functioning can go awry due to psychopathological conditions that impair inference about our environment and our bodies. In this context, auditory phenomena—known to be especially relevant to studies of PTSD and schizophrenia—and traditional models of auditory function can be viewed from an evolutionary perspective based on active inference.Results: We assess and contextualise a range of evidence on audition, stress, psychosis, and PTSD, and bring some existing partial models of PTSD into multilevel alignment.Conclusions: The novel perspective on PTSD we present aims to serve as a basis for new experimental designs and therapeutic interventions that integrate fundamentally biological, cognitive, behavioural, and environmental factors.
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The perception of the external environment as threatening may result in a negative prediction bias in PTSD.
“this may result in a negative prediction bias (Kube et al., 2020; Linson and Fris ton, 2019; Wilkinson et al., 2017).”
From Predictive coding in neuropsychiatric disorders: a systematic transdiagnostic review. (2025) · cites this paper as Linson and Friston, 2019
Individuals with PTSD perceive the external environment as threatening.
“individuals with PTSD perceive the external environment as threatening”
From Predictive coding in neuropsychiatric disorders: a systematic transdiagnostic review. (2025) · cites this paper as Linson and Friston, 2019
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- Authors
- Linson, A., & Friston, K.
- Affiliations
- University of Stirling (GB)
- Wellcome Centre for Human Neuroimaging (GB)
- Corresponding author
- Linson, Adam
- Venue
- Cognitive Neuropsychiatry
- Publisher
- Informa UK Limited
- Published
- 2019-09-03
- Volume
- 24
- Issue
- 5
- Pages
- 347-368
- ISSN
- 1354-6805 (ISSN-L)
- 1464-0619
- PMC
- PMC6816477
- OpenAlex
- W2978638612
- Cited by
- 81
- References
- 28
- Citations by year
- 2026: 12 · 2025: 7 · 2024: 12 · 2023: 24 · 2022: 10 · 2021: 7 · 2020: 8 · 2019: 1
- FWCI
- 7.59
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Cognitive Neuropsychiatry (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Open Research Online (The Open University) (acceptedVersion)
- Stirling Online Research Repository (University of Stirling) (submittedVersion, cc-by)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Wellcome Trust (088130/Z/09/Z)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Posttraumatic Stress Disorder Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Embodied and Extended Cognition
- Social Sciences › Psychology › Clinical Psychology › Psychoanalysis and Psychopathology Research
- Keywords
- post-traumatic stress disorder, active inference, computational psychiatry, stress, auditory perception, psychosis, schizophrenia, embodied cognition, evolutionary perspective, auditory function
- MeSH terms
- Auditory Perception, Humans, Models, Biological, Psychiatry, Psychotic Disorders, Stress Disorders, Post-Traumatic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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