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Correlation of fronto-central phase coupling with sensorimotor rhythm modulation

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dc.contributor.authorChung, Yoon Gi-
dc.contributor.authorKang, Jae-Hwan-
dc.contributor.authorKim, Sung-Phil-
dc.date.accessioned2021-09-06T12:36:15Z-
dc.date.available2021-09-06T12:36:15Z-
dc.date.created2021-06-14-
dc.date.issued2012-12-
dc.identifier.issn0893-6080-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/106814-
dc.description.abstractWe investigated neurophysiologic correlates of individual differences in the modulation of sensorirnotor rhythms (SMRs) in the human electroencephalography (EEG) during motor imagery. The ability of modulating SMRs to different motor imageries was correlated with the strength of alpha phase synchronization across frontal and central sensorimotor areas. The results suggest that fronto-central coupling may elucidate individual variations in SMR modulation that is essential for using SMR-based brain-computer interfaces. (C) 2012 Elsevier Ltd. All rights reserved.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.subjectBRAIN-COMPUTER INTERFACE-
dc.subjectMOTOR IMAGERY-
dc.subjectSYNCHRONIZATION-
dc.subjectDESYNCHRONIZATION-
dc.subjectSYSTEMS-
dc.subjectCORTEX-
dc.titleCorrelation of fronto-central phase coupling with sensorimotor rhythm modulation-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Sung-Phil-
dc.identifier.doi10.1016/j.neunet.2012.08.006-
dc.identifier.scopusid2-s2.0-84870269203-
dc.identifier.wosid000312921300006-
dc.identifier.bibliographicCitationNEURAL NETWORKS, v.36, pp.46 - 50-
dc.relation.isPartOfNEURAL NETWORKS-
dc.citation.titleNEURAL NETWORKS-
dc.citation.volume36-
dc.citation.startPage46-
dc.citation.endPage50-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaNeurosciences & Neurology-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryNeurosciences-
dc.subject.keywordPlusBRAIN-COMPUTER INTERFACE-
dc.subject.keywordPlusMOTOR IMAGERY-
dc.subject.keywordPlusSYNCHRONIZATION-
dc.subject.keywordPlusDESYNCHRONIZATION-
dc.subject.keywordPlusSYSTEMS-
dc.subject.keywordPlusCORTEX-
dc.subject.keywordAuthorSensorimotor rhythms-
dc.subject.keywordAuthorPhase synchronization-
dc.subject.keywordAuthorMotor imagery-
dc.subject.keywordAuthorBrain-computer interfaces-
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