Binaural Beats Modulated Affected Emotions: Evidence From Simultaneous Electroencephalography-Functional MRI Study

Changha Lee, Jae Eon Kang, Jong Hwan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recent attention in future mobility is directed towards ensuring the comfort and mood of passengers in a vehicle. In this context, the modulation of affected emotions for passengers is gaining increased attention. In light of the previous studies, it has been suggested that adequate background audio noises can enhance multisensory cognitive performance. In this study, we were motivated to investigate whether binaural beats (BB) with background vehicle noises can modulate the affective mood of passengers in a vehicle. Simultaneously measured electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) data were acquired to examine temporal and spatial alterations in brain activity caused by the sound stimuli. Our collected data presented significant changes in subjective emotional ratings in response to a subset of audio stimuli. The subsequent spatial and temporal features of brain activity supported the findings from behavioral data.

Original languageEnglish
Title of host publication12th International Winter Conference on Brain-Computer Interface, BCI 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350309430
DOIs
Publication statusPublished - 2024
Event12th International Winter Conference on Brain-Computer Interface, BCI 2024 - Gangwon, Korea, Republic of
Duration: 2024 Feb 262024 Feb 28

Publication series

NameInternational Winter Conference on Brain-Computer Interface, BCI
ISSN (Print)2572-7672

Conference

Conference12th International Winter Conference on Brain-Computer Interface, BCI 2024
Country/TerritoryKorea, Republic of
CityGangwon
Period24/2/2624/2/28

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • Binaural beats
  • electroencephalography
  • emotion
  • functional MRI
  • mood regulation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Signal Processing

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