한빛사논문
Roy Lycke 1,2,8, Robin Kim 1,2,8, Pavlo Zolotavin 1,2, Jon Montes 2,3, Yingchu Sun 1,2, Aron Koszeghy 4, Esra Altun 2,5, Brian Noble 2,6, Rongkang Yin 1,2, Fei He 1,2, Nelson Totah 4,7, Chong Xie 1,2,3, Lan Luan 1,2,3,9
1Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA
2Rice Neuroengineering Initiative, Rice University, Houston, TX 77005, USA
3Department of Bioengineering, Rice University, Houston, TX 77005, USA
4Helsinki Institute of Life Science (HiLIFE), University of Helsinki, 00790 Helsinki, Finland
5Material Science and NanoEngineering, Rice University, Houston, TX 77005, USA
6Applied Physics Program, Rice University, Houston, TX 77005, USA
7Faculty of Pharmacy, University of Helsinki, 00790 Helsinki, Finland
8These authors contributed equally
9Lead contact
Corresponding authors: Chong Xie, Lan Luan
Abstract
Intracortical microstimulation (ICMS) enables applications ranging from neuroprosthetics to causal circuit manipulations. However, the resolution, efficacy, and chronic stability of neuromodulation are often compromised by adverse tissue responses to the indwelling electrodes. Here we engineer ultraflexible stim-nanoelectronic threads (StimNETs) and demonstrate low activation threshold, high resolution, and chronically stable ICMS in awake, behaving mouse models. In vivo two-photon imaging reveals that StimNETs remain seamlessly integrated with the nervous tissue throughout chronic stimulation periods and elicit stable, focal neuronal activation at low currents of 2 μA. Importantly, StimNETs evoke longitudinally stable behavioral responses for over 8 months at a markedly low charge injection of 0.25 nC/phase. Quantified histological analyses show that chronic ICMS by StimNETs induces no neuronal degeneration or glial scarring. These results suggest that tissue-integrated electrodes provide a path for robust, long-lasting, spatially selective neuromodulation at low currents, which lessens risk of tissue damage or exacerbation of off-target side effects.
논문정보
관련 링크
연구자 키워드
관련분야 연구자보기
소속기관 논문보기
관련분야 논문보기
해당논문 저자보기