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皮质下局部场电位振荡与帕金森静止性震颤的因果关系。

The causal relationship between subcortical local field potential oscillations and Parkinsonian resting tremor.

机构信息

Institute of Neuroscience and Medicine-Neuromodulation (INM-7) and Virtual Institute of Neuromodulation, Research Center Jülich, D-52425 Jülich, Germany.

出版信息

J Neural Eng. 2010 Feb;7(1):16009. doi: 10.1088/1741-2560/7/1/016009. Epub 2010 Jan 19.

Abstract

To study the dynamical mechanism which generates Parkinsonian resting tremor, we apply coupling directionality analysis to local field potentials (LFP) and accelerometer signals recorded in an ensemble of 48 tremor epochs in four Parkinsonian patients with depth electrodes implanted in the ventro-intermediate nucleus of the thalamus (VIM) or the subthalmic nucleus (STN). Apart from the traditional linear Granger causality method we use two nonlinear techniques: phase dynamics modelling and nonlinear Granger causality. We detect a bidirectional coupling between the subcortical (VIM or STN) oscillation and the tremor, in the theta range (around 5 Hz) as well as broadband (>2 Hz). In particular, we show that the theta band LFP oscillations definitely play an efferent role in tremor generation, while beta band LFP oscillations might additionally contribute. The brain-->tremor driving is a complex, nonlinear mechanism, which is reliably detected with the two nonlinear techniques only. In contrast, the tremor-->brain driving is detected with any of the techniques including the linear one, though the latter is less sensitive. The phase dynamics modelling (applied to theta band oscillations) consistently reveals a long delay in the order of 1-2 mean tremor periods for the brain-->tremor driving and a small delay, compatible with the neural transmission time, for the proprioceptive feedback. Granger causality estimation (applied to broadband signals) does not provide reliable estimates of the delay times, but is even more sensitive to detect the brain-->tremor influence than the phase dynamics modelling.

摘要

为了研究产生帕金森震颤的动力学机制,我们将耦合方向性分析应用于在四个植入丘脑腹侧中间核(VIM)或丘脑底核(STN)深部电极的帕金森病患者的 48 个震颤阶段的局部场电位(LFP)和加速度计信号中记录的信号。除了传统的线性格兰杰因果关系方法外,我们还使用了两种非线性技术:相位动力学建模和非线性格兰杰因果关系。我们在 theta 频段(约 5 Hz)以及宽带(> 2 Hz)检测到了亚皮质(VIM 或 STN)振荡与震颤之间的双向耦合。特别是,我们表明,theta 波段 LFP 振荡肯定在震颤产生中发挥了传出作用,而 beta 波段 LFP 振荡可能另外起作用。大脑到震颤的驱动是一种复杂的非线性机制,仅使用两种非线性技术就可以可靠地检测到。相比之下,使用包括线性技术在内的任何技术都可以检测到震颤到大脑的驱动,尽管后者的灵敏度较低。相位动力学建模(应用于 theta 波段振荡)一致揭示了大脑到震颤的驱动存在 1-2 个平均震颤周期的长延迟,而本体感觉反馈的延迟较小,与神经传输时间兼容。格兰杰因果关系估计(应用于宽带信号)不能可靠地估计延迟时间,但比相位动力学建模更敏感,可检测到大脑到震颤的影响。

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