Closed-loop neurostimulation is a promising therapy being tested and clinically implemented in a growing number of neurological and psychiatric indications. This therapy is enabled by chronically implanted, bidirectional devices including the Medtronic Summit RC+S system. In order to successfully optimize therapy for patients implanted with these devices, analyses must be conducted offline on the recorded neural data, in order to inform optimal sense and stimulation parameters. The file format, volume, and complexity of raw data from these devices necessitate conversion, parsing, and time reconstruction ahead of time-frequency analyses and modeling common to standard neuroscientific analyses. Here, we provide an open-source toolbox written in Matlab which takes raw files from the Summit RC+S and transforms these data into a standardized format amenable to conventional analyses. Furthermore, we provide a plotting tool which can aid in the visualization of multiple data streams and sense, stimulation, and therapy settings. Finally, we describe an analysis module which replicates RC+S on-board power computations, a functionality which can accelerate biomarker discovery. This toolbox aims to accelerate the research and clinical advances made possible by longitudinal neural recordings and adaptive neurostimulation in people with neurological and psychiatric illnesses.

中文翻译：

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Analysis-rcs-data：开源工具箱，用于从 Medtronic Summit RC+S 系统中摄取、时间对齐和可视化感觉和刺激数据


闭环神经刺激是一种有前途的疗法，正在越来越多的神经和精神疾病适应症中进行测试和临床实施。这种疗法是通过长期植入的双向设备（包括美敦力 Summit RC+S 系统）实现的。为了成功地优化植入这些设备的患者的治疗，必须对记录的神经数据进行离线分析，以便提供最佳的感觉和刺激参数。来自这些设备的原始数据的文件格式、数量和复杂性需要在标准神经科学分析常见的时频分析和建模之前进行转换、解析和时间重建。在这里，我们提供了一个用 Matlab 编写的开源工具箱，它从 Summit RC+S 获取原始文件，并将这些数据转换为适合传统分析的标准化格式。此外，我们提供了一个绘图工具，可以帮助可视化多个数据流以及感知、刺激和治疗设置。最后，我们描述了一个复制 RC+S 板载功率计算的分析模块，该功能可以加速生物标记物的发现。该工具箱旨在加速纵向神经记录和适应性神经刺激对神经和精神疾病患者的研究和临床进展。