Multichannel Wireless Neurosensing System for battery-free monitoring of neuronal activity

运动前神经元活动 局部场电位 无线 体感系统 计算机科学 神经科学 大脑活动与冥想 脑-机接口 多路复用 人口 脑电图 生物医学工程 电信 工程类 医学 心理学 环境卫生
作者
Carolina Moncion,Lakshmini Balachandar,Satheesh Bojja Venkatakrishnan,John L. Volakis,Jorge Riera
出处
期刊:Biosensors and Bioelectronics [Elsevier BV]
卷期号:213: 114455-114455 被引量:8
标识
DOI:10.1016/j.bios.2022.114455
摘要

Electrical activity recordings are critical for evaluating and understanding brain function. We present a novel wireless, implantable, and battery-free device, namely the Wireless Neurosensing System (WiNS), and for the first time, we evaluate multichannel recording capabilities in vivo. For a preliminary evaluation, we performed a benchtop experiment with emulated sinusoidal signals of varying amplitude and frequency, representative of neuronal activity. We later performed and analyzed electrocortical recordings in rats of evoked somatosensory activity in response to three paradigms: hind/fore limb and whisker stimulation. Wired recordings were used for comparison and validation of WiNS. We found that through the channel multiplexing element of WiNS, it is possible to perform multichannel recordings with a maximum sampling rate of ∼10 kHz for a total of eight channels. This sampling rate is appropriate for monitoring the full range of neuronal signals of interest, from low-frequency population recordings of electrocorticography and local field potentials to high-frequency individual neuronal spike recordings. These in vivo experiments demonstrated that the evoked neuronal activity recorded with WiNS is comparable to that recorded with a wired system under identical circumstances. Analysis of critical parameters for interpreting the somatosensory evoked activity showed no statistically significant difference between the parameters obtained by a wired system versus those obtained using WiNS. Therefore, WiNS can match the performance of more invasive recording systems. WiNS is a groundbreaking technology with potential applications throughout neuroscience as it offers a simple alternative to address the pitfalls of battery-powered neuronal implants.
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