NEW METHODS OF ANALYSIS FOR STIMULUS-DRIVEN EEG ACTIVITY

现有方案项目的总体目标(“CNS自适应 口腔面部感觉的机制“)是(1)开发改进的方法 用于量化人类躯体感觉的中枢适应 神经系统和(2)评估各种口腔面部的假说 感觉障碍(包括颞下颌关节紊乱)部分涉及 动态神经机制的异常和不适应功能 这削弱了正常的皮质适应以维持躯体感觉 传送器驱动。 在此上下文中，作为此FIRCA父项目的子项目 应用程序的具体目标是：(1)识别定量头皮 体感皮质适应的电生理(EEG)指标； (2)详细地刻画了他们在正常人群中的行为 成人；(3)利用它们进行直接实验比较 正常人和口面部感觉障碍患者的适应性反应 精神错乱。 拟议的合作旨在补充试验性和 现有UNC计划的生理优势与不同寻常的 的一个研究小组的量化能力 华沙大学的医学物理学专业是 先进的信号处理技术的发展和应用 脑电分析。使用真实和模拟的脑电数据，外国 协作者将以最佳形式开发、评估和实施 母项目使用了几种新的分析方法， 应该会极大地促进其提取具有生物意义的 从收集的数据中获取信息，从而相应地增强其 满足计划-项目-目标的能力，而不显著 转移原计划的精力。

The overall goals of the existing program project ("CNS Adaptive Mechanisms in Orofacial Sensation") are (1) to develop improved methods for quantification of central adaptation in the human somatosensory nervous system and (2) to evaluate the hypothesis that various orofacial sensory disorders (including temporomandibular disorders) involve in part the abnormal and maladaptive functioning of dynamic neural mechanisms that subserve normal cortical adaptation to maintained somatosensory afferent drive. Within this context, the subproject that is the parent to this FIRCA application has as its specific aims: (1) to identify quantitative scalp electrophysiological (EEG) indices of somatosensory cortical adaptation; (2) to characterize in detail their behavior in a sample of normal adults; and (3) to utilize them for direct experimental comparison of adaptive responses in normals and in patients with orofacial sensory disorders. The proposed collaboration seeks to complement the experimental and physiological strengths of the existing UNC program with the unusual quantitative capabilities of a research group at the Laboratory of Medical Physics at the University of Warsaw which specializes in development and application of advanced signal-processing techniques for EEG analysis. Using both real and simulated EEG data, the foreign collaborators will develop, evaluate, and implement in optimal form for use by the parent project several novel analytical procedures which should greatly facilitate its ability to extract biologically significant information from the collected data, and thus enhance correspondingly its capacity to address program-project-objectives without significant diversion of effort from the original plan.