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RESEARCH PRODUCT

Decoding Emotional Valence from Electroencephalographic Rhythmic Activity

Hiroki MoriyaAapo HyvärinenHande CelikkanatTakeshi OgawaMotoaki KawanabeJukka-pekka Kauppi

subject

PeriodicitybrainvastauksetSpectral Linear Discriminant AnalysisEmotionsneuronsEmotional valenceElectroencephalography050105 experimental psychology03 medical and health sciences0302 clinical medicineRhythmMultiple frequencytunteetmedicine0501 psychology and cognitive sciencesEEGta113Communicationmedicine.diagnostic_testbusiness.industry05 social sciencesDiscriminant AnalysisElectroencephalography16. Peace & justiceLinear discriminant analysis113 Computer and information scienceshermosolutEeg activityresponsesaivotbusinessPsychology030217 neurology & neurosurgeryDecoding methodsCognitive psychology

description

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. Peer reviewed

yearjournalcountryeditionlanguage
2017-01-01
10.1109/embc.2017.8037768http://hdl.handle.net/10138/307226