Rubchinsky Leonid L, Park Choongseok, Worth Robert M
Department of Mathematical Sciences and Center for Mathematical Biosciences, Indiana University Purdue University Indianapolis, Indianapolis, IN 46202, USA.
Nonlinear Dyn. 2012 May 1;68(3):329-346. doi: 10.1007/s11071-011-0223-z. Epub 2011 Oct 8.
Motor symptoms of Parkinson's disease are related to the excessive synchronized oscillatory activity in the beta frequency band (around 20Hz) in the basal ganglia and other parts of the brain. This review explores the dynamics and potential mechanisms of these oscillations employing ideas and methods from nonlinear dynamics. We present extensive experimental documentation of the relevance of synchronized oscillations to motor behavior in Parkinson's disease, and we discuss the intermittent character of this synchronization. The reader is introduced to novel time-series analysis techniques aimed at the detection of the fine temporal structure of intermittent phase locking observed in the brains of parkinsonian patients. Modeling studies of brain networks are reviewed, which may describe the observed intermittent synchrony, and we discuss what these studies reveal about brain dynamics in Parkinson's disease. The parkinsonian brain appears to exist on the boundary between phase-locked and nonsynchronous dynamics. Such a situation may be beneficial in the healthy state, as it may allow for easy formation and dissociation of transient patterns of synchronous activity which are required for normal motor behavior. Dopaminergic degeneration in Parkinson's disease may shift the brain networks closer to this boundary, which would still permit some motor behavior while accounting for the associated motor deficits. Understanding the mechanisms of the intermittent synchrony in Parkinson's disease is also important for biomedical engineering since efficient control strategies for suppression of pathological synchrony through deep brain stimulation require knowledge of the dynamics of the processes subjected to control.
帕金森病的运动症状与基底神经节及大脑其他部位β频段(约20Hz)的过度同步振荡活动有关。本综述运用非线性动力学的思想和方法,探讨了这些振荡的动力学及潜在机制。我们展示了大量关于同步振荡与帕金森病运动行为相关性的实验记录,并讨论了这种同步的间歇性特征。向读者介绍了旨在检测帕金森病患者大脑中观察到的间歇性锁相精细时间结构的新型时间序列分析技术。回顾了脑网络的建模研究,这些研究可能描述观察到的间歇性同步,我们讨论了这些研究揭示的帕金森病脑动力学情况。帕金森病患者的大脑似乎处于锁相动力学和非同步动力学的边界。这种情况在健康状态下可能是有益的,因为它可能允许正常运动行为所需的同步活动瞬态模式轻松形成和解离。帕金森病中的多巴胺能退化可能使脑网络更接近这个边界,这仍能允许一些运动行为,同时解释相关的运动缺陷。理解帕金森病中间歇性同步的机制对生物医学工程也很重要,因为通过深部脑刺激抑制病理性同步的有效控制策略需要了解受控制过程的动力学。