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Cited 3 time in webofscience Cited 1 time in scopus
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Image-guided recording system for spatial and temporal mapping of neuronal activities in brain slice

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dc.contributor.authorChoi, Geonho-
dc.contributor.authorLee, Jeonghyeon-
dc.contributor.authorKim, Hyeongeun-
dc.contributor.authorJang, Jaemyung-
dc.contributor.authorIm, Changkyun-
dc.contributor.authorJeon, Nooli-
dc.contributor.authorJung, Woonggyu-
dc.date.accessioned2023-08-16T09:49:41Z-
dc.date.available2023-08-16T09:49:41Z-
dc.date.created2022-01-13-
dc.date.issued2018-03-
dc.identifier.issn1864-063X-
dc.identifier.urihttp://scholarworks.bwise.kr/kbri/handle/2023.sw.kbri/749-
dc.description.abstractIn this study, we introduce the novel image-guided recording system (IGRS) for efficient interpretation of neuronal activities in the brain slice. IGRS is designed to combine microelectrode array (MEA) and optical coherence tomography at the customized upright microscope. It allows to record multi-site neuronal signals and image of the volumetric brain anatomy in a single body configuration. For convenient interconnection between a brain image and neuronal signals, we developed the automatic mapping protocol that enables us to project acquired neuronal signals on a brain image. To evaluate the performance of IGRS, hippocampal signals of the brain slice were monitored, and corresponding with two-dimensional neuronal maps were successfully reconstructed. Our results indicated that IGRS and mapping protocol can provide the intuitive information regarding long-term and multi-sites neuronal signals. In particular, the temporal and spatial mapping capability of neuronal signals would be a very promising tool to observe and analyze the massive neuronal activity and connectivity in MEA-based electrophysiological studies.-
dc.language영어-
dc.language.isoen-
dc.publisherWILEY-V C H VERLAG GMBH-
dc.titleImage-guided recording system for spatial and temporal mapping of neuronal activities in brain slice-
dc.typeArticle-
dc.contributor.affiliatedAuthorJang, Jaemyung-
dc.identifier.doi10.1002/jbio.201700243-
dc.identifier.scopusid2-s2.0-85038101378-
dc.identifier.wosid000426731000030-
dc.identifier.bibliographicCitationJOURNAL OF BIOPHOTONICS, v.11, no.3-
dc.relation.isPartOfJOURNAL OF BIOPHOTONICS-
dc.citation.titleJOURNAL OF BIOPHOTONICS-
dc.citation.volume11-
dc.citation.number3-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBiochemistry & Molecular Biology-
dc.relation.journalResearchAreaBiophysics-
dc.relation.journalResearchAreaOptics-
dc.relation.journalWebOfScienceCategoryBiochemical Research Methods-
dc.relation.journalWebOfScienceCategoryBiophysics-
dc.relation.journalWebOfScienceCategoryOptics-
dc.subject.keywordPlusMICROELECTRODE ARRAYS-
dc.subject.keywordPlusELECTRIC-FIELDS-
dc.subject.keywordAuthorbrain slice-
dc.subject.keywordAuthorimage-guided recording system-
dc.subject.keywordAuthormicroelectrode array-
dc.subject.keywordAuthorneuronal signal mapping-
dc.subject.keywordAuthoroptical coherence tomography-
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연구본부 (뇌발달질환 연구그룹)
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