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dc.citation.number 14 -
dc.citation.startPage eadn3784 -
dc.citation.title SCIENCE ADVANCES -
dc.citation.volume 10 -
dc.contributor.author Kwon, Yong Won -
dc.contributor.author Ahn, David -
dc.contributor.author Park, Young-Geun -
dc.contributor.author Kim, Enji -
dc.contributor.author Lee, Dong Ha -
dc.contributor.author Kim, Sang-Woo -
dc.contributor.author Lee, Kwon-Hyung -
dc.contributor.author Kim, Won-Yeong -
dc.contributor.author Hong, Yeon-Mi -
dc.contributor.author Koh, Chin Su -
dc.contributor.author Jung, Hyun Ho -
dc.contributor.author Chang, Jin Woo -
dc.contributor.author Lee, Sang-Young -
dc.contributor.author Park, Jang-Ung -
dc.date.accessioned 2026-04-23T11:00:22Z -
dc.date.available 2026-04-23T11:00:22Z -
dc.date.created 2026-04-23 -
dc.date.issued 2024-04 -
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.identifier.bibliographicCitation SCIENCE ADVANCES, v.10, no.14, pp.eadn3784 -
dc.identifier.doi 10.1126/sciadv.adn3784 -
dc.identifier.issn 2375-2548 -
dc.identifier.scopusid 2-s2.0-85189931726 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/91497 -
dc.identifier.url https://www.science.org/doi/10.1126/sciadv.adn3784 -
dc.identifier.wosid 001196271300024 -
dc.language 영어 -
dc.publisher AMER ASSOC ADVANCEMENT SCIENCE -
dc.title Power-integrated, wireless neural recording systems on the cranium using a direct printing method for deep-brain analysis -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.relation.journalWebOfScienceCategory Multidisciplinary Sciences -
dc.relation.journalResearchArea Science & Technology - Other Topics -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordPlus SUSPENSIONS -
dc.subject.keywordPlus SURFACES -
dc.subject.keywordPlus NEURONS -
dc.subject.keywordPlus PROBES -
dc.subject.keywordPlus SPEED -

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