Value estimation and latent-state update-related neural activity during fear conditioning predict posttraumatic stress disorder symptom severity.
Learning theories of posttraumatic stress disorder (PTSD) purport that fear-learning processes, such as those that support fear acquisition and extinction, are impaired. Computational models designed to capture specific processes involved in fear learning have primarily assessed model-free, or trial...
| Publicado en: | Cognitive, Affective & Behavioral Neuroscience Vol. 22; no. 1; pp. 199 - 214 |
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| Autores principales: | , , , , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Feb2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=154881102&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 154881102 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15307026 NA4 jtl: Cognitive, Affective & Behavioral Neuroscience issn: 15307026 maglogo: N pubinfo: dt: Feb2022 vid: 22 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 154881102 152092718 154881102 154881102 10.3758/s13415-021-00943-4 154881102 ppf: 199 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Value estimation and latent-state update-related neural activity during fear conditioning predict posttraumatic stress disorder symptom severity. aug: au: Letkiewicz, Allison M. Cochran, Amy L. Privratsky, Anthony A. James, G. Andrew Cisler, Josh M. affil: Department of Psychiatry and Behavioral Sciences, Northwestern University, 680 N. Lakeshore Drive, Suite 1520, 60611, Chicago, IL, USA sug: subj: Fear Stress Disorders, Post-Traumatic Symptoms Severity of Illness Brain Physiology Learning Methods Risk Assessment Human Reinforcement (Psychology) Neuroradiography Safety ab: Learning theories of posttraumatic stress disorder (PTSD) purport that fear-learning processes, such as those that support fear acquisition and extinction, are impaired. Computational models designed to capture specific processes involved in fear learning have primarily assessed model-free, or trial-and-error, reinforcement learning (RL). Although previous studies indicated that aspects of model-free RL are disrupted among individuals with PTSD, research has yet to identify whether model-based RL, which is inferential and contextually driven, is impaired. Given empirical evidence of aberrant contextual modulation of fear in PTSD, the present study sought to identify whether model-based RL processes are altered during fear conditioning among women with interpersonal violence (IPV)-related PTSD (n = 85) using computational modeling. Model-free, hybrid, and model-based RL models were applied to skin conductance responses (SCR) collected during fear acquisition and extinction, and the model-based RL model was found to provide the best fit to the SCR data. Parameters from the model-based RL model were carried forward to neuroimaging analyses (voxel-wise and independent component analysis). Results revealed that reduced activity within visual processing regions during model-based updating uniquely predicted higher PTSD symptoms. Additionally, after controlling for model-based updating, greater value estimation encoding within the left frontoparietal network during fear acquisition and reduced value estimation encoding within the dorsomedial prefrontal cortex during fear extinction predicted greater PTSD symptoms. Results provide evidence of disrupted RL processes in women with assault-related PTSD, which may contribute to impaired fear and safety learning, and, furthermore, may relate to treatment response (e.g., poorer response to exposure therapy). pubtype: Academic Journal doctype: diagnostic images equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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