Influence of Multimodal Emotional Stimulations on Brain Activity: An Electroencephalographic Study

Author:

Gao Chenguang1ORCID,Uchitomi Hirotaka1ORCID,Miyake Yoshihiro1

Affiliation:

1. Department of Computer Science, Tokyo Institute of Technology, Yokohama 226-8502, Japan

Abstract

This study aimed to reveal the influence of emotional valence and sensory modality on neural activity in response to multimodal emotional stimuli using scalp EEG. In this study, 20 healthy participants completed the emotional multimodal stimulation experiment for three stimulus modalities (audio, visual, and audio-visual), all of which are from the same video source with two emotional components (pleasure or unpleasure), and EEG data were collected using six experimental conditions and one resting state. We analyzed power spectral density (PSD) and event-related potential (ERP) components in response to multimodal emotional stimuli, for spectral and temporal analysis. PSD results showed that the single modality (audio only/visual only) emotional stimulation PSD differed from multi-modality (audio-visual) in a wide brain and band range due to the changes in modality and not from the changes in emotional degree. The most pronounced N200-to-P300 potential shifts occurred in monomodal rather than multimodal emotional stimulations. This study suggests that emotional saliency and sensory processing efficiency perform a significant role in shaping neural activity during multimodal emotional stimulation, with the sensory modality being more influential in PSD. These findings contribute to our understanding of the neural mechanisms involved in multimodal emotional stimulation.

Funder

The Japan Science and Technology Agency (JST) CREST

The Japan Science and Technology Agency (JST) COI-NEXT

The Japan Society for the Promotion of Science (JSPS) KAKENHI

The Japan Science and Technology Agency

The Tokyo Institute of Technology (Tokyo Tech) Academy for Convergence of Materials and Informatics

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference60 articles.

1. Implicit affective rivalry: A behavioral and fMRI study combining olfactory and auditory stimulation;Habel;Front. Behav. Neurosci.,2018

2. User engagement comparison between advergames and traditional advertising using EEG: Does the user’s engagement influence purchase intention?;Romero;Sensors,2022

3. Is EEG suitable for marketing research? A systematic review;Bazzani;Brain Sci.,2020

4. Shu, L., Xie, J., Yang, M., Li, Z., Li, Z., Liao, D., Xu, X., and Yang, X. (2018). A review of emotion recognition using physiological signals. Sensors, 18.

5. He, Z., Li, Z., Yang, F., Wang, L., Li, J., Zhou, C., and Pan, J. (2020). Advances in multimodal emotion recognition based on brain–computer interfaces. Brain Sci., 10.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3