File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1038/s41467-021-26977-3
- Scopus: eid_2-s2.0-85119293171
- PMID: 34789745
- WOS: WOS:000720063500006
Supplementary
- Citations:
- Appears in Collections:
Article: A distributed fMRI-based signature for the subjective experience of fear
Title | A distributed fMRI-based signature for the subjective experience of fear |
---|---|
Authors | |
Issue Date | 2021 |
Citation | Nature Communications, 2021, v. 12, n. 1, article no. 6643 How to Cite? |
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’. |
Persistent Identifier | http://hdl.handle.net/10722/330740 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhou, Feng | - |
dc.contributor.author | Zhao, Weihua | - |
dc.contributor.author | Qi, Ziyu | - |
dc.contributor.author | Geng, Yayuan | - |
dc.contributor.author | Yao, Shuxia | - |
dc.contributor.author | Kendrick, Keith M. | - |
dc.contributor.author | Wager, Tor D. | - |
dc.contributor.author | Becker, Benjamin | - |
dc.date.accessioned | 2023-09-05T12:13:46Z | - |
dc.date.available | 2023-09-05T12:13:46Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Nature Communications, 2021, v. 12, n. 1, article no. 6643 | - |
dc.identifier.uri | http://hdl.handle.net/10722/330740 | - |
dc.description.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’. | - |
dc.language | eng | - |
dc.relation.ispartof | Nature Communications | - |
dc.title | A distributed fMRI-based signature for the subjective experience of fear | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1038/s41467-021-26977-3 | - |
dc.identifier.pmid | 34789745 | - |
dc.identifier.scopus | eid_2-s2.0-85119293171 | - |
dc.identifier.volume | 12 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | article no. 6643 | - |
dc.identifier.epage | article no. 6643 | - |
dc.identifier.eissn | 2041-1723 | - |
dc.identifier.isi | WOS:000720063500006 | - |