Ferromagnetic Fiber Systems for Multiplexing Neural Recording and Modulation with Spatial Selectivity
ADVANCED FUNCTIONAL MATERIALS(2024)
摘要
Despite the great success achieved by recently developed neural interfaces, multi-site monitoring and regulating neural activities with high spatial and temporal selectivity remain a challenge. Here, an implantable, remotely controllable, fiber-based ferromagnetic system permitting 3D navigation, omnidirectional steering, multiplexing neural recording, and modulation is presented. A family of fibers is fabricated that allows for the heterogeneous integration of ferromagnetic, optical, microfluidic, electrical, and electrochemical components into the proposed multifunctional neural interface. Coupling with magnetic actuation, it is demonstrated that this system can enable optical and chemical modulation of local neural activities across multiple distant regions in rodent brains, while simultaneously allowing the real-time monitoring of neural electrophysiological and chemical activities. Furthermore, to systematically identify altered patterns of behaviors, brain activities and dopamine release during optogenetic modulation of specific nuclei in Parkinsonian animals this platform is employed. This proposed system with high spatial selectivity, multiplexing sensing and multimodal manipulating capabilities offers a versatile platform to advance both fundamental neuroscience studies and translational applications in neurologic disease treatments. An implantable, remotely controllable, fiber-based ferromagnetic system capable of three-dimensional navigation, omnidirectional steering, multiplexed neural recording and modulation is developed. Coupling with magnetic actuation, its functionality, stability and biocompatibility for multiplexed electrical recording and modulation of distinct neuron populations in the rodent brains are successfully demonstrated in this study. image
更多查看译文
关键词
Ag nanocomposite,artificial sensory nervous system,multifunctional sensor,resistive-capacitive type sensor,self-classification
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要