Department of Neurology, University of South Alabama, 307 University Boulevard, Mobile, AL 36608, USA.
Biomed Res Int. 2013;2013:742671. doi: 10.1155/2013/742671. Epub 2013 May 16.
During this last decade, nonlinear analyses have been used to characterize the irregularity that exists in the neuronal data stream of the basal ganglia. In comparison to linear parameters for disparity (i.e., rate, standard deviation, and oscillatory activities), nonlinear analyses focus on complex patterns that are composed of groups of interspike intervals with matching lengths but not necessarily contiguous in the data stream. In light of recent animal and clinical studies, we present a review and commentary on the basal ganglia neuronal entropy in the context of movement disorders.
在过去的十年中，非线性分析已被用于描述基底神经节神经元数据流中的不规则性。与用于差异的线性参数（即速率、标准差和振荡活动）相比，非线性分析侧重于由具有匹配长度但不一定在数据流中连续的组间脉冲间隔组成的复杂模式。鉴于最近的动物和临床研究，我们在运动障碍的背景下对基底神经节神经元熵进行了综述和评论。
