Molenaar P C, Roelofs J W
Biol Psychol. 1987 Feb;24(1):1-21. doi: 10.1016/0301-0511(87)90096-2.
A new statistical technique for the analysis of multiple habituation profiles of single trial evoked potentials is presented. The method is based on a model that highlights the essential characteristics of the habituation process, viz. trial-dependent modulation of amplitude and phase of the underlying brain responses to a repeated stimulus, while recognizing the presence of unsystematic background variation inherent to single trial registrations. Without the introduction of any simplifying assumptions about the time course of habituation, a set of single trial evoked potentials is decomposed into one or more underlying evoked potentials, their habituation profiles across trials and the corresponding true evoked potentials. The analysis of the model proceeds by means of spectral analysis and its validity is illustrated with applications to simulated data.
本文提出了一种用于分析单次试验诱发电位多重习惯化特征的新统计技术。该方法基于一个模型,该模型突出了习惯化过程的基本特征,即对重复刺激的潜在脑反应的幅度和相位的试验依赖性调制,同时认识到单次试验记录中固有的非系统性背景变化的存在。在不引入任何关于习惯化时间进程的简化假设的情况下,将一组单次试验诱发电位分解为一个或多个潜在诱发电位、它们在各次试验中的习惯化特征以及相应的真实诱发电位。通过频谱分析对该模型进行分析,并通过对模拟数据的应用来说明其有效性。