Decoding Emotional Valence from Electroencephalographic Rhythmic Activity

Hande Celikkanat, Hiroki Moriya, Takeshi Ogawa, Jukka-Pekka Kauppi, Motoaki Kawanabe, Aapo Hyvärinen

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationEngineering in Medicine and Biology Society (EMBC) : 2017 39th Annual International Conference of the IEEE
Number of pages4
PublisherIEEE
Publication date2017
Pages4143-4146
ISBN (Electronic)978-1-5090-2809-2
DOIs
Publication statusPublished - 2017
MoE publication typeA4 Article in conference proceedings
Event39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Seogwipo, Korea, Republic of
Duration: 11 Jul 201715 Jul 2017
Conference number: 39

Publication series

NameEngineering in Medicine and Biology Society (EMBC)
PublisherIEEE
ISSN (Print)1557-170X
ISSN (Electronic)1558-4615

Fields of Science

  • 113 Computer and information sciences

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