周围神经
外围设备
刺激
材料科学
外周神经系统
过程(计算)
神经科学
神经损伤
生物医学工程
周围神经损伤
信号(编程语言)
神经导管
计算机科学
医学
中枢神经系统
生物
解剖
内科学
程序设计语言
操作系统
作者
Fei Jin,Tong Li,Tao Yuan,Luping Du,Chengteng Lai,Qi Wu,Ying Zhao,Fengyu Sun,Long Gu,Ting Wang,Zhang‐Qi Feng
标识
DOI:10.1002/adma.202104175
摘要
The long-segment peripheral nerve injury (PNI) represents a global medical challenge, leading to incomplete nerve tissue recovery and unsatisfactory functional reconstruction. However, the current electrical stimulation (ES) apparatuses fail perfect nerve repair due to their inability of the variable synchronous self-regulated function with physiological states. It is urgent to develop an implantable ES platform with physiologically adaptive function to provide instantaneous and nerve-preferred ES. Here, a physiologically self-regulated electrical signal is generated by integrating a novel tribo/piezoelectric hybrid nanogenerator with a nanoporous nerve guide conduit to construct a fully implantable neural electrical stimulation (FI-NES) system. The optimal neural ES parameters completely originate from the body itself and are highly self-responsive to different physiological states. The morphological evaluation, representative protein expression level, and functional reconstruction of the regenerated nerves are conducted to assess the PNI recovery process. Evidence shows that the recovery effect of 15 mm length nerve defects under the guidance of the FI-NES system is significantly close to the autograft. The designed FI-NES system provides an effective method for long-term accelerating the recovery of PNI in vivo and is also appropriate for other tissue injury or neurodegenerative diseases.
科研通智能强力驱动
Strongly Powered by AbleSci AI