npj Parkinson's Disease ( IF 6.7 ) Pub Date : 2024-07-15 , DOI: 10.1038/s41531-024-00740-z Andreia M. Oliveira , Eduardo Carvalho , Beatriz Barros , Carolina Soares , Manuel J. Ferreira-Pinto , Rui Vaz , Paulo Aguiar
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Different neurostimulators for deep brain stimulation (DBS) come already with the ability to chronically sense local field potentials during stimulation. This invaluable new data has the potential to increase our understanding of disease-related brain activity patterns, their temporal evolution, and their modulation in response to therapies. It also gives the opportunity to unveil new electrophysiological biomarkers and ultimately bring adaptive stimulation therapies closer to clinical practice. Unfortunately, there are still very limited options on how to visualize, analyze, and exploit the full potential of the sensing data from these new DBS neurostimulators. To answer this need, we developed a free open-source toolbox, named DBScope, that imports data from neurostimulation devices and can be operated in two ways: via user interface and programmatically, as a library of functions. In this way, it can be used by both clinicians during clinical sessions (for instance, to visually inspect data from the current or previous in-clinic visits), and by researchers in their research pipelines (e.g., for pre-processing, feature extraction and biomarker search). All in all, the DBScope toolbox is set to facilitate the clinical decision-making process and the identification of clinically relevant biomarkers. The toolbox is already being used in clinical and research environments, and it is freely available to download at GitHub (where it is also fully documented).
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DBScope 作为多功能计算工具箱,用于可视化和分析来自深部脑刺激的传感数据
用于深部脑刺激 (DBS) 的不同神经刺激器已经具备在刺激过程中长期感知局部场电位的能力。这些宝贵的新数据有可能增加我们对与疾病相关的大脑活动模式、它们的时间演变以及它们对治疗的反应的调节的理解。它还提供了揭示新的电生理生物标志物并最终使适应性刺激疗法更接近临床实践的机会。不幸的是,关于如何可视化、分析和充分利用这些新型 DBS 神经刺激器的传感数据的潜力,选择仍然非常有限。为了满足这一需求,我们开发了一个免费的开源工具箱,名为 DBScope,它可以从神经刺激设备导入数据,并可以通过两种方式进行操作:通过用户界面和以编程方式作为函数库。通过这种方式,临床医生可以在临床会议期间使用它(例如,目视检查当前或之前的临床就诊数据),也可以由研究人员在其研究流程中使用(例如,用于预处理、特征提取)和生物标志物搜索)。总而言之,DBScope 工具箱旨在促进临床决策过程和临床相关生物标志物的识别。该工具箱已经在临床和研究环境中使用,并且可以在 GitHub 上免费下载(其中也有完整的文档)。