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A biodegradable and restorative peripheral neural interface for the interrogation of neuropathic injuries.

Authors :
Wang, Liu
Zhang, Tieyuan
Lei, Jiaxin
Wang, Shirong
Guan, Yanjun
Chen, Kuntao
Li, Chaochao
Song, Yahao
Li, Weining
Wang, Shimeng
Jia, Zhibo
Chen, Shengfeng
Bai, Jun
Yu, Bingbing
Yang, Can
Sun, Pengcheng
Wang, Qingyun
Sheng, Xing
Peng, Jiang
Fan, Yubo
Source :
Nature Communications; 2/17/2025, Vol. 16 Issue 1, p1-16, 16p
Publication Year :
2025

Abstract

Monitoring the early-stage healing of severe traumatic nerve injuries is essential to gather physiological and pathological information for timely interventions and optimal clinical outcomes. Traditional diagnostic methods relying on physical examinations, imaging tools, and intraoperative electrophysiological testing present great challenges in continuous and remote monitoring. While implantable peripheral nerve interfaces provide direct access to nerve fibers for precise interrogation and modulation, conventional non-degradable designs pose limited utilization in nerve injury rehabilitation. Here, we introduce a biodegradable and restorative neural interface for wireless real-time tracking and recovery of long-gap nerve injuries. Leveraging machine learning techniques, this electronic platform deciphers nerve recovery status and identifies traumatic neuroma formation at the early phase, enabling timely intervention and significantly improved therapeutic outcomes. The biodegradable nature of the device eliminates the need for retrieval procedures, reducing infection risks and secondary tissue damage. This research sheds light on bioresorbable multifunctional peripheral nerve interfaces for probing neuropathic injuries, offering vital information for early diagnosis and therapeutic intervention. Monitoring the early-stage healing of severe traumatic nerve injuries is essential to gather pathological information for timely interventions. Here, the authors introduce a biodegradable and restorative neural interface for wireless real-time tracking. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20411723
Volume :
16
Issue :
1
Database :
Complementary Index
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
183072027
Full Text :
https://doi.org/10.1038/s41467-025-56089-1