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研究皮质基底节网络模型中的同步振荡和深部脑刺激治疗。

Investigating Synchronous Oscillation and Deep Brain Stimulation Treatment in A Model of Cortico-Basal Ganglia Network.

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2017 Nov;25(11):1950-1958. doi: 10.1109/TNSRE.2017.2707100. Epub 2017 May 23.

Abstract

Altered firing properties and increased pathological oscillations in the basal ganglia have been proven to be hallmarks of Parkinson's disease (PD). Increasing evidence suggests that abnormal synchronous oscillations and suppression in the cortex may also play a critical role in the pathogenic process and treatment of PD. In this paper, a new closed-loop network including the cortex and basal ganglia using the Izhikevich models is proposed to investigate the synchrony and pathological oscillations in motor circuits and their modulation by deep brain stimulation (DBS). Results show that more coherent dynamics in the cortex may cause stronger effects on the synchrony and pathological oscillations of the subthalamic nucleus (STN). The pathological beta oscillations of the STN can both be efficiently suppressed with DBS applied directly to the STN or to cortical neurons, respectively, but the underlying mechanisms by which DBS suppresses the beta oscillations are different. This research helps to understand the dynamics of pathological oscillations in PD-related motor regions and supports the therapeutic potential of stimulation of cortical neurons.

摘要

基底神经节中放电特性的改变和病理性振荡已被证明是帕金森病(PD)的特征。越来越多的证据表明,皮质中的异常同步振荡和抑制也可能在 PD 的发病机制和治疗中发挥关键作用。在本文中,提出了一个包括皮层和基底神经节的新的闭环网络,使用 Izhikevich 模型来研究运动回路中的同步和病理性振荡及其对深部脑刺激(DBS)的调制。结果表明,皮层中更一致的动力学可能会对丘脑底核(STN)的同步和病理性振荡产生更强的影响。直接施加到 STN 或皮质神经元的 DBS 可以有效地抑制 STN 的病理性β振荡,但 DBS 抑制β振荡的潜在机制是不同的。这项研究有助于理解 PD 相关运动区域中病理性振荡的动力学,并支持刺激皮质神经元的治疗潜力。

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