論文

査読有り
2017年9月13日

Decoding emotional valence from electroencephalographic rhythmic activity

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
  • Hande Celikkanat
  • ,
  • Hiroki Moriya
  • ,
  • Takeshi Ogawa
  • ,
  • Jukka-Pekka Kauppi
  • ,
  • Motoaki Kawanabe
  • ,
  • Aapo Hyvarinen

開始ページ
4143
終了ページ
4146
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/EMBC.2017.8037768
出版者・発行元
Institute of Electrical and Electronics Engineers Inc.

We attempt to decode emotional valence from electroencephalographic rhythmic activity in a naturalistic setting. We employ a data-driven method developed in a previous study, Spectral Linear Discriminant Analysis, to discover the relationships between the classification task and independent neuronal sources, optimally utilizing multiple frequency bands. A detailed investigation of the classifier provides insight into the neuronal sources related with emotional valence, and the individual differences of the subjects in processing emotions. Our findings show: (1) sources whose locations are similar across subjects are consistently involved in emotional responses, with the involvement of parietal sources being especially significant, and (2) even though the locations of the involved neuronal sources are consistent, subjects can display highly varying degrees of valence-related EEG activity in the sources.

リンク情報
DOI
https://doi.org/10.1109/EMBC.2017.8037768
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/29060809
URL
http://dblp.uni-trier.de/db/conf/embc/embc2017.html#conf/embc/celikkanatMOKKH17
ID情報
  • DOI : 10.1109/EMBC.2017.8037768
  • ISSN : 1557-170X
  • DBLP ID : conf/embc/celikkanatMOKKH17
  • PubMed ID : 29060809
  • SCOPUS ID : 85032189465

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