Adaptive and multifunctional hydrogel hybrid probes for long-term sensing and modulation of neural activity
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s41467-021-23802-9.pdf
Description
Published version
Size
3.77 MB
Format
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Checksum (MD5)
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Author(s)
Park, Seongjun
Yuk, Hyunwoo
Zhao, Ruike
Yim, Yeong Shin
Woldeghebriel, Eyob W
Kang, Jeewoo
Canales, Andres
Fink, Yoel
Choi, Gloria B
Zhao, Xuanhe
Date Issued
2021
Journal
Nature Communications
Publisher
Springer Science and Business Media LLC
Citation
Park, Seongjun, Yuk, Hyunwoo, Zhao, Ruike, Yim, Yeong Shin, Woldeghebriel, Eyob W et al. 2021. "Adaptive and multifunctional hydrogel hybrid probes for long-term sensing and modulation of neural activity." Nature Communications, 12 (1).
Abstract
To understand the underlying mechanisms of progressive neurophysiological phenomena, neural interfaces should interact bi-directionally with brain circuits over extended periods of time. However, such interfaces remain limited by the foreign body response that stems from the chemo-mechanical mismatch between the probes and the neural tissues. To address this challenge, we developed a multifunctional sensing and actuation platform consisting of multimaterial fibers intimately integrated within a soft hydrogel matrix mimicking the brain tissue. These hybrid devices possess adaptive bending stiffness determined by the hydration states of the hydrogel matrix. This enables their direct insertion into the deep brain regions, while minimizing tissue damage associated with the brain micromotion after implantation. The hydrogel hybrid devices permit electrophysiological, optogenetic, and behavioral studies of neural circuits with minimal foreign body responses and tracking of stable isolated single neuron potentials in freely moving mice over 6 months following implantation.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
Massachusetts Institute of Technology. Department of Mechanical Engineering
McGovern Institute for Brain Research at MIT
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology. Department of Chemical Engineering
Massachusetts Institute of Technology. Department of Materials Science and Engineering
Massachusetts Institute of Technology. Institute for Soldier Nanotechnologies
Picower Institute for Learning and Memory
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
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Creative Commons Attribution 4.0 International license
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DOI of Published Version
https://doi.org/10.1038/S41467-021-23802-9
