Functional connectivity between the amygdala and prefrontal cortex underlies processing of emotion ambiguity.


Journal

Translational psychiatry
ISSN: 2158-3188
Titre abrégé: Transl Psychiatry
Pays: United States
ID NLM: 101562664

Informations de publication

Date de publication:
28 Oct 2023
Historique:
received: 16 02 2023
accepted: 06 10 2023
revised: 27 09 2023
medline: 30 10 2023
pubmed: 29 10 2023
entrez: 29 10 2023
Statut: epublish

Résumé

Processing facial expressions of emotion draws on a distributed brain network. In particular, judging ambiguous facial emotions involves coordination between multiple brain areas. Here, we applied multimodal functional connectivity analysis to achieve network-level understanding of the neural mechanisms underlying perceptual ambiguity in facial expressions. We found directional effective connectivity between the amygdala, dorsomedial prefrontal cortex (dmPFC), and ventromedial PFC, supporting both bottom-up affective processes for ambiguity representation/perception and top-down cognitive processes for ambiguity resolution/decision. Direct recordings from the human neurosurgical patients showed that the responses of amygdala and dmPFC neurons were modulated by the level of emotion ambiguity, and amygdala neurons responded earlier than dmPFC neurons, reflecting the bottom-up process for ambiguity processing. We further found parietal-frontal coherence and delta-alpha cross-frequency coupling involved in encoding emotion ambiguity. We replicated the EEG coherence result using independent experiments and further showed modulation of the coherence. EEG source connectivity revealed that the dmPFC top-down regulated the activities in other brain regions. Lastly, we showed altered behavioral responses in neuropsychiatric patients who may have dysfunctions in amygdala-PFC functional connectivity. Together, using multimodal experimental and analytical approaches, we have delineated a neural network that underlies processing of emotion ambiguity.

Identifiants

pubmed: 37898626
doi: 10.1038/s41398-023-02625-w
pii: 10.1038/s41398-023-02625-w
pmc: PMC10613296
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

334

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH129426
Pays : United States

Commentaires et corrections

Type : UpdateOf

Informations de copyright

© 2023. The Author(s).

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Auteurs

Sai Sun (S)

Frontier Research Institute for Interdisciplinary Sciences, Tohoku University 6-3 Aramaki aza Aoba, Aoba-ku, Sendai, 980-8578, Japan. sun.sai.e2@tohoku.ac.jp.
Research Institute of Electrical Communication, Tohoku University 2-1-1 Katahira, Aoba-ku, Sendai, 980-8577, Japan. sun.sai.e2@tohoku.ac.jp.

Hongbo Yu (H)

Department of Psychological & Brain Sciences, University of California Santa Barbara, Santa Barbara, CA, 93106, USA.

Rongjun Yu (R)

Department of Management, Marketing, and Information Systems, Hong Kong Baptist University, Hong Kong, China.

Shuo Wang (S)

Department of Radiology, Washington University in St. Louis, St. Louis, MO, 63110, USA. shuowang@wustl.edu.

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