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Power-integrated, wireless neural recording systems on the cranium using a direct printing method for deep-brain analysis
DC Field | Value | Language |
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dc.contributor.author | 정현호 | - |
dc.contributor.author | 고진수 | - |
dc.date.accessioned | 2024-05-23T03:23:21Z | - |
dc.date.available | 2024-05-23T03:23:21Z | - |
dc.date.issued | 2024-04 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/199214 | - |
dc.description.abstract | Conventional power-integrated wireless neural recording devices suffer from bulky, rigid batteries in head-mounted configurations, hindering the precise interpretation of the subject's natural behaviors. These power sources also pose risks of material leakage and overheating. We present the direct printing of a power-integrated wireless neural recording system that seamlessly conforms to the cranium. A quasi-solid-state Zn-ion microbattery was 3D-printed as a built-in power source geometrically synchronized to the shape of a mouse skull. Soft deep-brain neural probes, interconnections, and auxiliary electronics were also printed using liquid metals on the cranium with high resolutions. In vivo studies using mice demonstrated the reliability and biocompatibility of this wireless neural recording system, enabling the monitoring of neural activities across extensive brain regions without notable heat generation. This all-printed neural interface system revolutionizes brain research, providing bio-conformable, customizable configurations for improved data quality and naturalistic experimentation. | - |
dc.description.statementOfResponsibility | open | - |
dc.format | application/pdf | - |
dc.language | English | - |
dc.publisher | American Association for the Advancement of Science | - |
dc.relation.isPartOf | SCIENCE ADVANCES | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Animals | - |
dc.subject.MESH | Brain* | - |
dc.subject.MESH | Electronics | - |
dc.subject.MESH | Head* | - |
dc.subject.MESH | Mice | - |
dc.subject.MESH | Reproducibility of Results | - |
dc.subject.MESH | Skull | - |
dc.subject.MESH | Wireless Technology | - |
dc.title | Power-integrated, wireless neural recording systems on the cranium using a direct printing method for deep-brain analysis | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Neurosurgery (신경외과학교실) | - |
dc.contributor.googleauthor | Yong Won Kwon | - |
dc.contributor.googleauthor | David B Ahn | - |
dc.contributor.googleauthor | Young-Geun Park | - |
dc.contributor.googleauthor | Enji Kim | - |
dc.contributor.googleauthor | Dong Ha Lee | - |
dc.contributor.googleauthor | Sang-Woo Kim | - |
dc.contributor.googleauthor | Kwon-Hyung Lee | - |
dc.contributor.googleauthor | Won-Yeong Kim | - |
dc.contributor.googleauthor | Yeon-Mi Hong | - |
dc.contributor.googleauthor | Chin Su Koh | - |
dc.contributor.googleauthor | Hyun Ho Jung | - |
dc.contributor.googleauthor | Jin Woo Chang | - |
dc.contributor.googleauthor | Sang-Young Lee | - |
dc.contributor.googleauthor | Jang-Ung Park | - |
dc.identifier.doi | 10.1126/sciadv.adn3784 | - |
dc.contributor.localId | A03775 | - |
dc.relation.journalcode | J03735 | - |
dc.identifier.eissn | 2375-2548 | - |
dc.identifier.pmid | 38569040 | - |
dc.contributor.alternativeName | Jung, Hyun Ho | - |
dc.contributor.affiliatedAuthor | 정현호 | - |
dc.citation.volume | 10 | - |
dc.citation.number | 14 | - |
dc.citation.startPage | eadn3784 | - |
dc.identifier.bibliographicCitation | SCIENCE ADVANCES, Vol.10(14) : eadn3784, 2024-04 | - |
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