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DBScope作为一种多功能计算工具箱,用于可视化和分析来自深部脑刺激的传感数据。

DBScope as a versatile computational toolbox for the visualization and analysis of sensing data from deep brain stimulation.

作者信息

Oliveira Andreia M, Carvalho Eduardo, Barros Beatriz, Soares Carolina, Ferreira-Pinto Manuel J, Vaz Rui, Aguiar Paulo

机构信息

Neuroengineering and Computational Neuroscience Lab, Instituto de Investigação e Inovação em Saúde (i3S) - University of Porto, Porto, Portugal.

Faculty of Engineering of University of Porto (FEUP), Porto, Portugal.

出版信息

NPJ Parkinsons Dis. 2024 Jul 15;10(1):132. doi: 10.1038/s41531-024-00740-z.

DOI:10.1038/s41531-024-00740-z
PMID:39009601
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11251161/
Abstract

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).

摘要

不同的用于深部脑刺激(DBS)的神经刺激器已经具备在刺激过程中对局部场电位进行长期传感的能力。这些极其宝贵的新数据有可能增进我们对疾病相关脑活动模式、其时间演变以及对治疗反应的调节的理解。它还为揭示新的电生理生物标志物提供了机会,并最终使适应性刺激疗法更接近临床实践。不幸的是,在如何可视化、分析以及充分利用这些新型DBS神经刺激器的传感数据方面,选择仍然非常有限。为满足这一需求,我们开发了一个名为DBScope的免费开源工具箱,它可以从神经刺激设备导入数据,并且可以通过两种方式操作:通过用户界面和以编程方式作为函数库。通过这种方式,临床医生在临床过程中(例如,直观检查当前或之前门诊就诊的数据)以及研究人员在其研究流程中(例如,用于预处理、特征提取和生物标志物搜索)都可以使用它。总而言之,DBScope工具箱旨在促进临床决策过程以及识别临床相关的生物标志物。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(在那里它也有完整的文档记录)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ade5/11251161/9069db2b6369/41531_2024_740_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ade5/11251161/c5de1d7d556b/41531_2024_740_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ade5/11251161/85898e036e14/41531_2024_740_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ade5/11251161/c19da26bab86/41531_2024_740_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ade5/11251161/7c37d62d8a12/41531_2024_740_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ade5/11251161/9069db2b6369/41531_2024_740_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ade5/11251161/c5de1d7d556b/41531_2024_740_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ade5/11251161/85898e036e14/41531_2024_740_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ade5/11251161/c19da26bab86/41531_2024_740_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ade5/11251161/7c37d62d8a12/41531_2024_740_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ade5/11251161/9069db2b6369/41531_2024_740_Fig5_HTML.jpg

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本文引用的文献

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Adaptive Deep Brain Stimulation: From Experimental Evidence Toward Practical Implementation.适应性脑深部电刺激:从实验证据到实际应用。
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Brain Recording Analysis and Visualization Online (BRAVO): An open-source visualization tool for deep brain stimulation data.脑记录分析与可视化在线 (BRAVO):一款用于深部脑刺激数据的开源可视化工具。
Brain Stimul. 2023 May-Jun;16(3):793-797. doi: 10.1016/j.brs.2023.04.018. Epub 2023 Apr 24.
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A comparison of methods to suppress electrocardiographic artifacts in local field potential recordings.
局部场电位记录中抑制心电图伪迹方法的比较
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