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Investigating the Association between Motor Function Neuroinflammation and Recording Metrics in the Performance of Intracortical Microelectrode Implanted in Motor Cortex

机译:调查电动机皮质植入式微电极的电动机功能神经炎性和记录度量之间的关联

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摘要

Long-term reliability of intracortical microelectrodes remains a challenge for increased acceptance and deployment. There are conflicting reports comparing measurements associated with recording quality with postmortem histology, in attempts to better understand failure of intracortical microelectrodes (IMEs). Our group has recently introduced the assessment of motor behavior tasks as another metric to evaluate the effects of IME implantation. We hypothesized that adding the third dimension to our analysis, functional behavior testing, could provide substantial insight on the health of the tissue, success of surgery/implantation, and the long-term performance of the implanted device. Here we present our novel analysis scheme including: (1) the use of numerical formal concept analysis (nFCA) and (2) a regression analysis utilizing modern model/variable selection. The analyses found complimentary relationships between the variables. The histological variables for glial cell activation had associations between each other, as well as the neuronal density around the electrode interface. The neuronal density had associations to the electrophysiological recordings and some of the motor behavior metrics analyzed. The novel analyses presented herein describe a valuable tool that can be utilized to assess and understand relationships between diverse variables being investigated. These models can be applied to a wide range of ongoing investigations utilizing various devices and therapeutics.
机译:内电极的长期可靠性仍然是增加接受和部署的挑战。在尝试更好地理解孵化性微电极(IME)的情况下,存在与录制质量相关的测量结果相互冲突的报告。本集团最近推出了对电机行为任务的评估,作为另一种度量标准,以评估IME植入的影响。我们假设将第三维度添加到我们的分析,功能性行为测试,可以对组织的健康,手术/植入成功以及植入装置的长期性能提供了大量的洞察力。在这里,我们介绍了我们的新型分析方案,包括:(1)使用数值正式概念分析(NFCA)和(2)利用现代模型/变量选择的回归分析。分析发现变量之间的互补关系。用于胶质电池激活的组织学变量彼此之间的关联,以及电极接口周围的神经元密度。神经元密度与电生理记录和分析的一些电机行为度量有关。本文呈现的新颖分析描述了一种有价值的工具,可用于评估和理解正在调查的各种变量之间的关系。这些模型可以应用于利用各种设备和治疗方法的广泛的持续调查。

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