Neural computations of threat in the aftermath of combat trauma.

Abstract:

:By combining computational, morphological, and functional analyses, this study relates latent markers of associative threat learning to overt post-traumatic stress disorder (PTSD) symptoms in combat veterans. Using reversal learning, we found that symptomatic veterans showed greater physiological adjustment to cues that did not predict what they had expected, indicating greater sensitivity to prediction errors for negative outcomes. This exaggerated weighting of prediction errors shapes the dynamic learning rate (associability) and value of threat predictive cues. The degree to which the striatum tracked the associability partially mediated the positive correlation between prediction-error weights and PTSD symptoms, suggesting that both increased prediction-error weights and decreased striatal tracking of associability independently contribute to PTSD symptoms. Furthermore, decreased neural tracking of value in the amygdala, in addition to smaller amygdala volume, independently corresponded to higher PTSD symptom severity. These results provide evidence for distinct neurocomputational contributions to PTSD symptoms.

journal_name

Nat Neurosci

journal_title

Nature neuroscience

authors

Homan P,Levy I,Feltham E,Gordon C,Hu J,Li J,Pietrzak RH,Southwick S,Krystal JH,Harpaz-Rotem I,Schiller D

doi

10.1038/s41593-018-0315-x

subject

Has Abstract

pub_date

2019-03-01 00:00:00

pages

470-476

issue

3

eissn

1097-6256

issn

1546-1726

pii

10.1038/s41593-018-0315-x

journal_volume

22

pub_type

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