脑连接在肌张力障碍中的变化：来自脑磁图的证据。

Brain Connectivity in Dystonia: Evidence from Magnetoencephalography.

机构信息

Department of Neurological Sciences, Rush Parkinson's Disease and Movement Disorders Program, Chicago, IL, USA.

Neuromagnetism laboratory, Henry Ford Hospital, Detroit, MI, USA.

出版信息

Adv Neurobiol. 2023;31:141-155. doi: 10.1007/978-3-031-26220-3_8.

DOI:10.1007/978-3-031-26220-3_8

PMID:37338700

Abstract

Magnetoencephalography (MEG) detects synchronized activity within a neuronal network by measuring the magnetic field changes generated by intracellular current flow. Using MEG data, we can quantify brain region networks with similar frequency, phase, or amplitude of activity and thereby identify patterns of functional connectivity seen with specific disorders or disease states. In this review, we examine and summarize MEG-based literature on functional networks in dystonias. Specifically, we inspect literature evaluating the pathogenesis of focal hand dystonia, cervical dystonia, embouchure dystonia, the effects of sensory tricks, treatment with botulinum toxin and deep brain stimulation, and rehabilitation approaches. This review additionally highlights how MEG has potential for application to clinical care of patients with dystonia.

摘要

脑磁图（MEG）通过测量细胞内电流产生的磁场变化来检测神经网络中的同步活动。利用 MEG 数据，我们可以量化具有相似频率、相位或活动幅度的脑区网络，从而识别出与特定障碍或疾病状态相关的功能连接模式。在这篇综述中，我们检查并总结了有关运动障碍的基于 MEG 的功能网络的文献。具体来说，我们检查了评估局灶性手部运动障碍、颈部运动障碍、构音障碍、感觉技巧的影响、肉毒杆菌毒素和深部脑刺激治疗以及康复方法的发病机制的文献。这篇综述还强调了 MEG 在运动障碍患者的临床护理中的潜在应用。