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Challenges and Opportunities of Implantable Neural Interfaces: From Material,Electrochemical and Biological Perspectives
Authors:Qi Zeng  Zhaoling Huang
Affiliation:1. College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518061 China;2. The School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin, 541004 China
Abstract:The desirable implantable neural interfaces can accurately record bioelectrical signals from neurons and regulate neural activities with high spatial/time resolution, facilitating the understanding of neuronal functions and dynamics. However, the electrochemical performance (impedance, charge storage/injection capacity) is limited with the miniaturization and integration of neural electrodes. The “crosstalk” caused by the uneven distribution of elctric field leads to lower electrical stimulation/recording efficiency. The mismatch between stiff electrodes and soft tissues exacerbates the inflammatory responses, thus weakening the transmission of signals. Though remarkable breakthroughs have been made through the incorporation of optimizing electrode design and functionalized nanomaterials, the chronic stability, and long-term activity in vivo of the neural electrodes still need further development. In this review, the neural interface challenges mainly on electrochemistry and biology are discussed, followed by summarizing typical electrode optimization technologies and exploring recent advances in the application of nanomaterials, based on traditional metallic materials, emerging 2D materials, conducting polymer hydrogels, etc., for enhancing neural interfaces. The strategies for improving the durability including enhanced adhesion and minimized inflammatory response, are also summarized. The promising directions are finally presented to provide enlightenment for high-performance neural interfaces in future, which will promote profound progress in neuroscience research.
Keywords:bioelectronics  durability  implantable neural interfaces  nanomaterials  neural microelectrodes  electrochemical
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