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뇌과학이미징연구단
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Motor-effector dependent modulation of sensory-motor processes identified by the multivariate pattern analysis of EEG activity

DC Field Value Language
dc.contributor.authorKahyun Choi-
dc.contributor.authorSanghum Woo-
dc.contributor.authorJoonyeol Lee-
dc.date.accessioned2023-04-05T22:01:19Z-
dc.date.available2023-04-05T22:01:19Z-
dc.date.created2023-04-03-
dc.date.issued2023-02-
dc.identifier.issn2045-2322-
dc.identifier.urihttps://pr.ibs.re.kr/handle/8788114/13174-
dc.description.abstractSensory information received through sensory organs is constantly modulated by numerous non-sensory factors. Recent studies have demonstrated that the state of action can modulate sensory representations in cortical areas. Similarly, sensory information can be modulated by the type of action used to report perception; however, systematic investigation of this issue is scarce. In this study, we examined whether sensorimotor processes represented in electroencephalography (EEG) activities vary depending on the type of effector behavior. Nineteen participants performed motion direction discrimination tasks in which visual inputs were the same, and only the effector behaviors for reporting perceived motion directions were different (smooth pursuit, saccadic eye movement, or button press). We used multivariate pattern analysis to compare the EEG activities for identical sensory inputs under different effector behaviors. The EEG activity patterns for the identical sensory stimulus before any motor action varied across the effector behavior conditions, and the choice of motor effectors modulated the neural direction discrimination differently. We suggest that the motor-effector dependent modulation of EEG direction discrimination might be caused by effector-specific motor planning or preparation signals because it did not have functional relevance to behavioral direction discriminability. © 2023, The Author(s).-
dc.language영어-
dc.publisherNature Research-
dc.titleMotor-effector dependent modulation of sensory-motor processes identified by the multivariate pattern analysis of EEG activity-
dc.typeArticle-
dc.type.rimsART-
dc.identifier.wosid000988352100031-
dc.identifier.scopusid2-s2.0-85148816317-
dc.identifier.rimsid80384-
dc.contributor.affiliatedAuthorKahyun Choi-
dc.contributor.affiliatedAuthorSanghum Woo-
dc.contributor.affiliatedAuthorJoonyeol Lee-
dc.identifier.doi10.1038/s41598-023-30324-5-
dc.identifier.bibliographicCitationScientific Reports, v.13, no.1-
dc.relation.isPartOfScientific Reports-
dc.citation.titleScientific Reports-
dc.citation.volume13-
dc.citation.number1-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalWebOfScienceCategoryMultidisciplinary Sciences-
dc.subject.keywordPlusPURSUIT EYE-MOVEMENTS-
dc.subject.keywordPlusSPATIAL ATTENTION-
dc.subject.keywordPlusMACAQUE-
dc.subject.keywordPlusCORTEX-
dc.subject.keywordPlusINITIATION-
dc.subject.keywordPlusDYNAMICS-
dc.subject.keywordPlusSIGNALS-
dc.subject.keywordPlusMOTION-
Appears in Collections:
Center for Neuroscience Imaging Research (뇌과학 이미징 연구단) > 1. Journal Papers (저널논문)
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