Decoding relative pitch imagery using functional connectivity: An electroencephalographic study

Shu Sakamoto, Atsuya Kobayashi, Karin Matsushita, Risa Shimizu, Atsushi Aoyama

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

Abstract

Although decoding neural information as sound using electroencephalography is expected in many ways such as therapeutic usage and artistic expression, small number of studies involve auditory imagery itself. Here, we show that relative imagery of tones at the same pitch but with different reference tones can be decoded using connectivity measures between central and parietal electrodes. This finding indicates that top-down information flow peculiar to auditory imagery forms a broad network in the brain, which information could be useful for brain-computer interface application.

Original languageEnglish
Title of host publication2019 IEEE 1st Global Conference on Life Sciences and Technologies, LifeTech 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages48-49
Number of pages2
ISBN (Electronic)9781728105437
DOIs
Publication statusPublished - 2019 Mar
Event1st IEEE Global Conference on Life Sciences and Technologies, LifeTech 2019 - Osaka, Japan
Duration: 2019 Mar 122019 Mar 14

Publication series

Name2019 IEEE 1st Global Conference on Life Sciences and Technologies, LifeTech 2019

Conference

Conference1st IEEE Global Conference on Life Sciences and Technologies, LifeTech 2019
CountryJapan
CityOsaka
Period19/3/1219/3/14

Keywords

  • Auditory Imagery
  • Brain
  • Brain-Computer Interface
  • Decoding
  • Electroencephalography
  • Functional Connectivity

ASJC Scopus subject areas

  • Artificial Intelligence
  • Health Informatics
  • Neuroscience (miscellaneous)
  • Computer Science Applications
  • Biomedical Engineering

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  • Cite this

    Sakamoto, S., Kobayashi, A., Matsushita, K., Shimizu, R., & Aoyama, A. (2019). Decoding relative pitch imagery using functional connectivity: An electroencephalographic study. In 2019 IEEE 1st Global Conference on Life Sciences and Technologies, LifeTech 2019 (pp. 48-49). [8884007] (2019 IEEE 1st Global Conference on Life Sciences and Technologies, LifeTech 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/LifeTech.2019.8884007