Document Type

Article

Publication Date

12-1-2021

Publication Title

Nature Communications

Department

Department of Psychological and Brain Sciences

Abstract

The specific neural systems underlying the subjective feeling of fear are debated in affective neuroscience. Here, we combine functional MRI with machine learning to identify and evaluate a sensitive and generalizable neural signature predictive of the momentary self-reported subjective fear experience across discovery (n = 67), validation (n = 20) and generalization (n = 31) cohorts. We systematically demonstrate that accurate fear prediction crucially requires distributed brain systems, with important contributions from cortical (e.g., prefrontal, midcingulate and insular cortices) and subcortical (e.g., thalamus, periaqueductal gray, basal forebrain and amygdala) regions. We further demonstrate that the neural representation of subjective fear is distinguishable from the representation of conditioned threat and general negative affect. Overall, our findings suggest that subjective fear, which exhibits distinct neural representation with some other aversive states, is encoded in distributed systems rather than isolated ‘fear centers’.

DOI

10.1038/s41467-021-26977-3

Original Citation

Zhou, F., Zhao, W., Qi, Z. et al. A distributed fMRI-based signature for the subjective experience of fear. Nat Commun 12, 6643 (2021). https://doi.org/10.1038/s41467-021-26977-3

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