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运动障碍性疾病中深部脑刺激疗效的电生理生物标志物:现状与未来挑战。

Electrophysiological biomarkers for deep brain stimulation outcomes in movement disorders: state of the art and future challenges.

机构信息

Central European Institute of Technology (CEITEC), Brain and Mind Research Program, Masaryk University, Brno, Czech Republic.

Movement Disorders Center, First Department of Neurology, Masaryk University School of Medicine, St. Anne's Hospital, Pekařská 53, 656 91, Brno, Czech Republic.

出版信息

J Neural Transm (Vienna). 2021 Aug;128(8):1169-1175. doi: 10.1007/s00702-021-02381-5. Epub 2021 Jul 10.

Abstract

Several neurological diseases are accompanied by rhythmic oscillatory dysfunctions in various frequency ranges and disturbed cross-frequency relationships on regional, interregional, and whole brain levels. Knowledge of these disease-specific oscillopathies is important mainly in the context of deep brain stimulation (DBS) therapy. Electrophysiological biomarkers have been used as input signals for adaptive DBS (aDBS) as well as preoperative outcome predictors. As movement disorders, particularly Parkinson's disease (PD), are among the most frequent DBS indications, the current research of DBS is the most advanced in the movement disorders field. We reviewed the literature published mainly between 2010 and 2020 to identify the most important findings concerning the current evolution of electrophysiological biomarkers in DBS and to address future challenges for prospective research.

摘要

几种神经疾病伴有各种频率范围内的节律性振荡功能障碍,以及区域性、区域性和全脑水平上的跨频率关系紊乱。这些疾病特异性的振荡病变的知识主要在深部脑刺激 (DBS) 治疗的背景下很重要。电生理生物标志物已被用作适应性 DBS (aDBS) 的输入信号,以及术前结果预测器。由于运动障碍,特别是帕金森病 (PD),是 DBS 的最常见适应症之一,因此 DBS 的当前研究是运动障碍领域最先进的。我们回顾了主要发表于 2010 年至 2020 年期间的文献,以确定 DBS 中电生理生物标志物当前进展的最重要发现,并解决未来前瞻性研究的挑战。

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