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김성필

Kim, Sung-Phil
Brain-Computer Interface Lab.
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dc.citation.startPage 121521 -
dc.citation.title NEUROIMAGE -
dc.citation.volume 321 -
dc.contributor.author Sihn, Duho -
dc.contributor.author Kim, Sung-Phil -
dc.date.accessioned 2025-11-26T09:17:24Z -
dc.date.available 2025-11-26T09:17:24Z -
dc.date.created 2025-10-31 -
dc.date.issued 2025-11 -
dc.description.abstract Recent findings indicate that neural representations of behaviors are distributed throughout the brain. These distributed neural representations are likely to accompany the transmission of behavioral information across large-scale brain regions, often mediated by the propagation of brain oscillations. Yet, it remains unknown whether the brain-wide patterns of oscillatory amplitude can represent more naturalistic behaviors, and whether they are related to the brain-wide patterns of oscillatory propagation. Using an open human electroencephalogram (EEG) dataset recorded during video-game play (behaviors: shooting, collecting, crashing), we introduced activation states, momentary brain-wide patterns derived from oscillatory amplitude envelopes. The results showed that brain-wide patterns of activation states reliably predicted the likelihood of each behavior during gameplay, and cross-validated decoding recovered behavioral occurrence from single-trial brain-wide activation patterns. We then quantified large-scale oscillation propagation using the temporal consistency of propagation directionality. We found that the spatial patterns of propagation consistency were strongly correlated with concurrent brain-wide patterns of activation states, indicating that where oscillation amplitudes spatially organize, propagation organizes similarly across the whole brain. Together this study shows novel findings that (1) distributed EEG amplitude patterns are predictive enough to decode naturalistic behavior and (2) large-scale propagation provides a complementary signature that tracks the same brain-wide organization. From these results, we propose a Dual-State Oscillation Model (DSOM) engaging coupled brain-wide activation states (amplitude organization) and propagation states (directional transmission), which may provide a novel framework for linking distributed neural representations to large-scale communication dynamics to elucidate how brain networks coordinate naturalistic behaviors. -
dc.identifier.bibliographicCitation NEUROIMAGE, v.321, pp.121521 -
dc.identifier.doi 10.1016/j.neuroimage.2025.121521 -
dc.identifier.issn 1053-8119 -
dc.identifier.scopusid 2-s2.0-105021139368 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/88481 -
dc.identifier.wosid 001598102500001 -
dc.language 영어 -
dc.publisher ACADEMIC PRESS INC ELSEVIER SCIENCE -
dc.title Brain-wide patterns of oscillatory amplitudes represent naturalistic behavior -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.relation.journalWebOfScienceCategory Neurosciences; Neuroimaging; Radiology, Nuclear Medicine & Medical Imaging -
dc.relation.journalResearchArea Neurosciences & Neurology; Radiology, Nuclear Medicine & Medical Imaging -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor EEG -
dc.subject.keywordAuthor Naturalistic behavior -
dc.subject.keywordAuthor Oscillatory amplitude -
dc.subject.keywordAuthor Traveling wave -
dc.subject.keywordAuthor Local phase gradient -
dc.subject.keywordAuthor Brain-wide distribution -
dc.subject.keywordPlus PRINCIPAL-COMPONENTS-ANALYSIS -
dc.subject.keywordPlus ERP GENERATOR PATTERNS -
dc.subject.keywordPlus LAPLACIAN WAVE-FORMS -
dc.subject.keywordPlus GENERIC METHOD -
dc.subject.keywordPlus EEG -
dc.subject.keywordPlus DYNAMICS -
dc.subject.keywordPlus SYNCHRONIZATION -
dc.subject.keywordPlus SYNAPSES -
dc.subject.keywordPlus NETWORKS -

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