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김성필

Kim, Sung-Phil
Brain-Computer Interface Lab.
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dc.citation.startPage 445 -
dc.citation.title FRONTIERS IN HUMAN NEUROSCIENCE -
dc.citation.volume 11 -
dc.contributor.author Kim, Junsuk -
dc.contributor.author Yeon, Jiwon -
dc.contributor.author Ryu, Jaekyun -
dc.contributor.author Park, Jang-Yeon -
dc.contributor.author Chung, Soon-Cheol -
dc.contributor.author Kim, Sung-Phil -
dc.date.accessioned 2023-12-21T21:46:24Z -
dc.date.available 2023-12-21T21:46:24Z -
dc.date.created 2017-09-19 -
dc.date.issued 2017-09 -
dc.description.abstract Our previous human fMRI study found brain activations correlated with tactile stickiness perception using the uni-variate general linear model (GLM) (Yeon et al., 2017). Here, we conducted an in-depth investigation on neural correlates of sticky sensations by employing a multivoxel pattern analysis (MVPA) on the same dataset. In particular, we statistically compared multi-variate neural activities in response to the three groups of sticky stimuli: A supra-threshold group including a set of sticky stimuli that evoked vivid sticky perception; an infra-threshold group including another set of sticky stimuli that barely evoked sticky perception; and a sham group including acrylic stimuli with no physically sticky property. Searchlight MVPAs were performed to search for local activity patterns carrying neural information of stickiness perception. Similar to the uni-variate GLM results, significant multi-variate neural activity patterns were identified in postcentral gyrus, subcortical (basal ganglia and thalamus), and insula areas (insula and adjacent areas). Moreover, MVPAs revealed that activity patterns in posterior parietal cortex discriminated the perceptual intensities of stickiness, which was not present in the uni-variate analysis. Next, we applied a principal component analysis (PCA) to the voxel response patterns within identified clusters so as to find low-dimensional neural representations of stickiness intensities. Follow-up clustering analyses clearly showed separate neural grouping configurations between the Supra-and Infra-threshold groups. Interestingly, this neural categorization was in line with the perceptual grouping pattern obtained from the psychophysical data. Our findings thus suggest that different stickiness intensities would elicit distinct neural activity patterns in the human brain and may provide a neural basis for the perception and categorization of tactile stickiness. -
dc.identifier.bibliographicCitation FRONTIERS IN HUMAN NEUROSCIENCE, v.11, pp.445 -
dc.identifier.doi 10.3389/fnhum.2017.00445 -
dc.identifier.issn 1662-5161 -
dc.identifier.scopusid 2-s2.0-85032033665 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/22702 -
dc.identifier.url http://journal.frontiersin.org/article/10.3389/fnhum.2017.00445/full -
dc.identifier.wosid 000408898400001 -
dc.language 영어 -
dc.publisher FRONTIERS MEDIA SA -
dc.title Neural Activity Patterns in the Human Brain Reflect Tactile Stickiness Perception -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.relation.journalWebOfScienceCategory Neurosciences; Psychology -
dc.relation.journalResearchArea Neurosciences & Neurology; Psychology -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor fMRI -
dc.subject.keywordAuthor MVPA -
dc.subject.keywordAuthor tactile stickiness -
dc.subject.keywordAuthor neural correlates -
dc.subject.keywordAuthor categorization -
dc.subject.keywordAuthor perception -
dc.subject.keywordPlus DIMENSIONALITY REDUCTION -
dc.subject.keywordPlus BASAL GANGLIA -
dc.subject.keywordPlus MULTI-VOXEL -
dc.subject.keywordPlus REPRESENTATION -
dc.subject.keywordPlus INFORMATION -
dc.subject.keywordPlus CORTEX -
dc.subject.keywordPlus FMRI -
dc.subject.keywordPlus DISCRIMINATION -
dc.subject.keywordPlus TOUCH -
dc.subject.keywordPlus CLASSIFIERS -

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