Litcius/Paper detail

Long-term stability strategies of deep brain flexible neural interface

Shiya Lv, Zhaojie Xu, Fan Mo, Yu Wang, Yimin Duan, Yaoyao Liu, Luyi Jing, Jin Shan, Qianli Jia, Mingchuan Wang, Siyu Zhang, Yu Liu, Juntao Liu, Jinping Luo, Yirong Wu, Mixia Wang, Yilin Song, Xinxia Cai, Yilin Song, Xinxia Cai

2025npj Flexible Electronics39 citationsDOIOpen Access PDF

Abstract

Flexible deep brain neural interfaces, as an important research direction in the field of neural engineering, have broad application prospects in areas such as neural signal detection, treatment of neurological diseases, and intelligent control systems. However, chronic inflammatory responses caused by long-term implantation and the resulting electrode failure seriously hinder the clinical development of this technology. This review systematically explores the long-term stability issues of flexible deep brain neural interfaces, with a focus on analyzing the synergistic optimization of electrode geometric morphology and implantation strategies in regulating inflammatory responses. Additionally, this paper delves into innovative strategies, such as passive enhancement of biocompatibility through electrode surface functionalization and active inhibition of inflammation through drug-controlled release systems, offering new technical paths to extend electrode lifespan. By integrating and reviewing existing innovative methods for deep brain flexible electrodes, this study provides an important theoretical foundation and technical guidance for the development of high-stability neural interface devices.

Topics & Concepts

Term (time)Interface (matter)Computer scienceStability (learning theory)Brain–computer interfaceNeuroscienceArtificial neural networkArtificial intelligencePsychologyMachine learningElectroencephalographyParallel computingPhysicsMaximum bubble pressure methodQuantum mechanicsBubbleNeuroscience and Neural EngineeringPhotoreceptor and optogenetics researchNeural dynamics and brain function