混合神经电子学:朝着以解决方案为中心的方式思考神经刺激工具中的复杂问题

IF 1.9 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Sofia Drakopoulou, Francesc Varkevisser, Linta Sohail, Masoumeh Aqamolaei, Tiago L. Costa, George D. Spyropoulos
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引用次数: 0

摘要

反应性神经调节越来越多地被用于治疗神经精神疾病患者。然而,传统与新材料和技术创新之间的低效桥梁阻碍了神经刺激工具的进步。大脑中的信号主要是通过离子流动而不是电子运动来完成的。然而,获取神经信号的现状是使用只能与电子相互作用的材料,如贵金属。因此,离子在生物/非生物界面积聚,形成双层电容,增加阻抗,并对神经询问的效率产生负面影响。替代材料,如导电聚合物,允许离子在基质中渗透,形成体积电容器(比面积相关电容器大两个数量级),降低阻抗,提高记录/刺激的时空分辨率。另一方面,基于cmos的后端电子产品的开发和集成能力的提高使越来越强大和节能的微芯片的创造成为可能。其中包括具有多达数万个通道的刺激和记录芯片系统(soc)、用于刺激、信号调理、数字化、无线电源和数据遥测以及片上信号处理的完全集成电路。在这里,我们的目标是汇编关于每个构建块的最佳组件的信息,并试图加强在各种材料和技术之间架起桥梁的愿景,以努力推进神经刺激工具并促进以解决方案为中心的方式来考虑其复杂问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid neuroelectronics: towards a solution-centric way of thinking about complex problems in neurostimulation tools
Responsive neuromodulation is increasingly being used to treat patients with neuropsychiatric diseases. Yet, inefficient bridges between traditional and new materials and technological innovations impede advancements in neurostimulation tools. Signaling in the brain is accomplished predominantly by ion flux rather than the movement of electrons. However, the status quo for the acquisition of neural signals is using materials, such as noble metals, that can only interact with electrons. As a result, ions accumulate at the biotic/abiotic interface, creating a double-layer capacitance that increases impedance and negatively impacts the efficiency of neural interrogation. Alternative materials, such as conducting polymers, allow ion penetration in the matrix, creating a volumetric capacitor (two orders of magnitude larger than an area-dependent capacitor) that lowers the impedance and increases the spatiotemporal resolution of the recording/stimulation. On the other hand, the increased development and integration capabilities of CMOS-based back-end electronics have enabled the creation of increasingly powerful and energy-efficient microchips. These include stimulation and recording systems-on-a-chip (SoCs) with up to tens of thousands of channels, fully integrated circuitry for stimulation, signal conditioning, digitation, wireless power and data telemetry, and on-chip signal processing. Here, we aim to compile information on the best component for each building block and try to strengthen the vision that bridges the gap among various materials and technologies in an effort to advance neurostimulation tools and promote a solution-centric way of considering their complex problems.
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