Neural functional rehabilitation:Exploring neuromuscular reconstruction technology advancements and challenges  

作　　者：Chunxiao Tang Ping Wang Zhonghua Li Shizhen Zhong Lin Yang Guanglin Li 

机构地区：[1]Department of Neural Engineering Center,Shenzhen Institutes of Advanced Technology(SIAT),Chinese Academy of Sciences(CAS),Shenzhen,Guangdong Province,China [2]Department of Human Anatomy,Southern Medical University,Guangzhou,Guangdong Province,China

出　　处：《Neural Regeneration Research》2026年第1期173-186,共14页中国神经再生研究(英文版)

基　　金：supported in part by the National Natural Science Foundation of China,Nos.81927804(to GL),82260456(to LY),U21A20479(to LY);Science and Technology Planning Project of Shenzhen,No.JCYJ20230807140559047(to LY);Key-Area Research and Development Program of Guangdong Province,No.2020B0909020004(to GL);Guangdong Basic and Applied Research Foundation,No.2023A1515011478(to LY);the Science and Technology Program of Guangdong Province,No.2022A0505090007(to GL);Ministry of Science and Technology,Shenzhen,No.QN2022032013L(to LY)。

摘　　要：Neural machine interface technology is a pioneering approach that aims to address the complex challenges of neurological dysfunctions and disabilities resulting from conditions such as congenital disorders,traumatic injuries,and neurological diseases.Neural machine interface technology establishes direct connections with the brain or peripheral nervous system to restore impaired motor,sensory,and cognitive functions,significantly improving patients'quality of life.This review analyzes the chronological development and integration of various neural machine interface technologies,including regenerative peripheral nerve interfaces,targeted muscle and sensory reinnervation,agonist–antagonist myoneural interfaces,and brain–machine interfaces.Recent advancements in flexible electronics and bioengineering have led to the development of more biocompatible and highresolution electrodes,which enhance the performance and longevity of neural machine interface technology.However,significant challenges remain,such as signal interference,fibrous tissue encapsulation,and the need for precise anatomical localization and reconstruction.The integration of advanced signal processing algorithms,particularly those utilizing artificial intelligence and machine learning,has the potential to improve the accuracy and reliability of neural signal interpretation,which will make neural machine interface technologies more intuitive and effective.These technologies have broad,impactful clinical applications,ranging from motor restoration and sensory feedback in prosthetics to neurological disorder treatment and neurorehabilitation.This review suggests that multidisciplinary collaboration will play a critical role in advancing neural machine interface technologies by combining insights from biomedical engineering,clinical surgery,and neuroengineering to develop more sophisticated and reliable interfaces.By addressing existing limitations and exploring new technological frontiers,neural machine interface technologies have the potential to re

关 键 词：agonist–antagonist myoneural interface biocompatibility brain–machine interface clinical anatomy neural machine interface NEUROPROSTHETICS peripheral nerve interface PROPRIOCEPTION targeted muscle reinnervation targeted sensory reinnervation 

分 类 号：TP1[自动化与计算机技术—控制理论与控制工程]