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Bioresorbable silicon electronics for transient spatiotemporal mapping of electrical activity from the cerebral cortex

Authors
Yu, Ki JunKuzum, DuyguHwang, Suk-WonKim, Bong HoonJuul, HalvorKim, Nam HeonWon, Sang MinChiang, KenTrumpis, MichaelRichardson, Andrew G.Cheng, HuanyuFang, HuiThompson, MarissaBink, HankTalos, DeliaSeo, Kyung JinLee, Hee NamKang, Seung-KyunKim, Jae-HwanLee, Jung YupHuang, YounggangJensen, Frances E.Dichter, Marc A.Lucas, Timothy H.Viventi, JonathanLitt, BrianRogers, John A.
Issue Date
Jul-2016
Publisher
NATURE PUBLISHING GROUP
Citation
NATURE MATERIALS, v.15, no.7, pp.782 - +
Indexed
SCIE
SCOPUS
Journal Title
NATURE MATERIALS
Volume
15
Number
7
Start Page
782
End Page
+
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/88171
DOI
10.1038/NMAT4624
ISSN
1476-1122
Abstract
Bioresorbable silicon electronics technology offers unprecedented opportunities to deploy advanced implantable monitoring systems that eliminate risks, cost and discomfort associated with surgical extraction. Applications include postoperative monitoring and transient physiologic recording after percutaneous or minimally invasive placement of vascular, cardiac, orthopaedic, neural or other devices. We present an embodiment of these materials in both passive and actively addressed arrays of bioresorbable silicon electrodes with multiplexing capabilities, which record in vivo electrophysiological signals from the cortical surface and the subgaleal space. The devices detect normal physiologic and epileptiform activity, both in acute and chronic recordings. Comparative studies show sensor performance comparable to standard clinical systems and reduced tissue reactivity relative to conventional clinical electrocorticography (ECoG) electrodes. This technology offers general applicability in neural interfaces, with additional potential utility in treatment of disorders where transient monitoring and modulation of physiologic function, implant integrity and tissue recovery or regeneration are required.
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Graduate School > KU-KIST Graduate School of Converging Science and Technology > 1. Journal Articles

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