The Neural Representation of Visually Evoked Emotion Is High-Dimensional, Categorical, and Distributed across Transmodal Brain Regions.

Cognitive Neuroscience Neuroscience Techniques in Neuroscience

Journal

iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038

Informations de publication

Date de publication:
22 May 2020
Historique:
received: 27 12 2019
revised: 11 03 2020
accepted: 09 04 2020
pubmed: 1 5 2020
medline: 1 5 2020
entrez: 1 5 2020
Statut: ppublish

Résumé

Central to our subjective lives is the experience of different emotions. Recent behavioral work mapping emotional responses to 2,185 videos found that people experience upward of 27 distinct emotions occupying a high-dimensional space, and that emotion categories, more so than affective dimensions (e.g., valence), organize self-reports of subjective experience. Here, we sought to identify the neural substrates of this high-dimensional space of emotional experience using fMRI responses to all 2,185 videos. Our analyses demonstrated that (1) dozens of video-evoked emotions were accurately predicted from fMRI patterns in multiple brain regions with different regional configurations for individual emotions; (2) emotion categories better predicted cortical and subcortical responses than affective dimensions, outperforming visual and semantic covariates in transmodal regions; and (3) emotion-related fMRI responses had a cluster-like organization efficiently characterized by distinct categories. These results support an emerging theory of the high-dimensional emotion space, illuminating its neural foundations distributed across transmodal regions.

Identifiants

pubmed: 32353765
pii: S2589-0042(20)30245-5
doi: 10.1016/j.isci.2020.101060
pmc: PMC7191651
pii:
doi:

Types de publication

Journal Article

Langues

eng

Pagination

101060

Informations de copyright

Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Interests The authors declare no competing interests.

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Auteurs

Tomoyasu Horikawa (T)

Department of Neuroinformatics, ATR Computational Neuroscience Laboratories, Hikaridai, Seika, Soraku, Kyoto, 619-0288, Japan. Electronic address: horikawa-t@atr.jp.

Alan S Cowen (AS)

Department of Psychology, University of California, Berkeley, CA 94720-1500, USA.

Dacher Keltner (D)

Department of Psychology, University of California, Berkeley, CA 94720-1500, USA.

Yukiyasu Kamitani (Y)

Department of Neuroinformatics, ATR Computational Neuroscience Laboratories, Hikaridai, Seika, Soraku, Kyoto, 619-0288, Japan; Graduate School of Informatics, Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto, 606-8501, Japan. Electronic address: kamitani@i.kyoto-u.ac.jp.

Classifications MeSH