Literature DB >> 32798681

Distinct dimensions of emotion in the human brain and their representation on the cortical surface.

Naoko Koide-Majima1, Tomoya Nakai2, Shinji Nishimoto3.   

Abstract

We experience a rich variety of emotions in daily life, and a fundamental goal of affective neuroscience is to determine how these emotions are represented in the brain. Recent psychological studies have used naturalistic stimuli (e.g., movies) to reveal high dimensional representational structures of diverse daily-life emotions. However, relatively little is known about how such diverse emotions are represented in the brain because most of the affective neuroscience studies have used only a small number of controlled stimuli. To reveal that, we measured functional MRI to obtain blood-oxygen-level-dependent (BOLD) responses from human subjects while they watched emotion-inducing audiovisual movies over a period of 3 hours. For each of the one-second movie scenes, we annotated the movies with respect to 80 emotions selected based on a wide range of previous emotion literature. By quantifying canonical correlations between the emotion ratings and the BOLD responses, the results suggest that around 25 distinct dimensions (ranging from 18 to 36 and being subject-dependent) of the emotion ratings contribute to emotion representations in the brain. For demonstrating how the 80 emotion categories were represented in the cortical surface, we visualized a continuous semantic space of the emotion representation and mapped it on the cortical surface. We found that the emotion categories were changed from unimodal to transmodal regions on the cortical surface. This study presents a cortical representation of a rich variety of emotion categories, which covers many of the emotional experiences of daily living.
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Emotion; Semantic space; fMRI

Year:  2020        PMID: 32798681     DOI: 10.1016/j.neuroimage.2020.117258

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  4 in total

1.  Voluntary control of semantic neural representations by imagery with conflicting visual stimulation.

Authors:  Ryohei Fukuma; Takufumi Yanagisawa; Shinji Nishimoto; Hidenori Sugano; Kentaro Tamura; Shota Yamamoto; Yasushi Iimura; Yuya Fujita; Satoru Oshino; Naoki Tani; Naoko Koide-Majima; Yukiyasu Kamitani; Haruhiko Kishima
Journal:  Commun Biol       Date:  2022-03-18

2.  EEG-Based Emotion Classification Using Improved Cross-Connected Convolutional Neural Network.

Authors:  Jinxiao Dai; Xugang Xi; Ge Li; Ting Wang
Journal:  Brain Sci       Date:  2022-07-24

Review 3.  On the encoding of natural music in computational models and human brains.

Authors:  Seung-Goo Kim
Journal:  Front Neurosci       Date:  2022-09-20       Impact factor: 5.152

Review 4.  Naturalistic Stimuli in Affective Neuroimaging: A Review.

Authors:  Heini Saarimäki
Journal:  Front Hum Neurosci       Date:  2021-06-17       Impact factor: 3.169

  4 in total

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