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Supramolecular Peptide Hydrogel-Based Soft Neural Interface Augments Brain Signals through a Three-Dimensional Electrical Network

Cited 2 time in webofscience Cited 4 time in scopus
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Title
Supramolecular Peptide Hydrogel-Based Soft Neural Interface Augments Brain Signals through a Three-Dimensional Electrical Network
Author(s)
Jiyoung Nam; Hyun-Kyoung Lim; Kim, NH; Park, JK; Kang, ES; Kim, YT; Chaejeong Heo; One-Sun Lee; Seong-Gi Kim; Wan Soo Yun; Minah Suh; Yong Ho Kim
Subject
hydrogel-based neural interface, ; supramolecular peptide, ; carbon nanotube, ; brain signals, ; three-dimensional electrical network
Publication Date
2020-01
Journal
ACS NANO, v.14, no.1, pp.664 - 675
Publisher
AMER CHEMICAL SOC
Abstract
Recording neural activity from the living brain is of great interest in neuroscience for interpreting cognitive processing or neurological disorders. Despite recent advances in neural technologies, development of a soft neural interface that integrates with neural tissues, increases recording sensitivity, and prevents signal dissipation still remains a major challenge. Here, we introduce a biocompatible, conductive, and biostable neural interface, a supramolecular beta-peptide-based hydrogel that allows signal amplification via tight neural/hydrogel contact without neuroinflammation. The non-biodegradable beta-peptide forms a multihierarchical structure with conductive nanomaterial, creating a three-dimensional electrical network, which can augment brain signal efficiently. By achieving seamless integration in brain tissue with increased contact area and tight neural tissue coupling, the epidural and intracortical neural signals recorded with the hydrogel were augmented, especially in the high frequency range. Overall, our tissuelike chronic neural interface will facilitate a deeper understanding of brain oscillation in broad brain states and further lead to more efficient brain-computer interfaces. © 2020 American Chemical Society
URI
https://pr.ibs.re.kr/handle/8788114/7261
DOI
10.1021/acsnano.9b07396
ISSN
1936-0851
Appears in Collections:
Center for Neuroscience Imaging Research (뇌과학 이미징 연구단) > 1. Journal Papers (저널논문)
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