NEW METHODS TO IMPROVE SPATIAL RESOLUTION OF EEG

拟议的工作涉及评价标准方法和 多道脑电信号分析新方法的研究进展 将物理学、工程学和计算机的发展与 建立了脑电检查的方法。一个主要目标是改善 脑电的空间分辨率，使头皮记录更准确 代表潜在来源的活动。另一个目标是 脑电空间模式量化方法的研究进展 各种临床和认知状态。空间图案可以是 潜在幅度，拉普拉斯(电流源密度)估计， 相关性，或一致性模式。这种方法的独特之处 包括局部头骨阻力的实验和理论估计， 癫痫发作和发作间歇现象的综合研究 病人，人头的解析和有限元模型， 猫头皮和皮层脑电的同步记录(经络)， 不同样条法在脑电和脑电信号表面拉普拉斯估计中的应用 诱发电位，以及空间反卷积方法的应用 多通道头皮数据。所提出的方法适用于 分布式和时变源。因此，可以预期这项工作将 直接适用于各种未来的脑电和诱发 在许多地点进行了潜力研究。

The proposed work is concerned with the evaluation of standard methods and the development of new methods to analyze multichannel EEG data base on the integration of physics, engineering, and computer developments with established methods in EEG. A principal objective is to improve the spatial resolution of EEG so that scalp recordings more accurately represent the activity of underlying sources. Another goal is that of the development of methods to quantify spatial patterns of EEG associated with various clinical and cognitive states. The spatial patterns may be potential amplitudes, Laplacian (current source density) estimates, correlation, or coherency patterns. Unique features of this approach include experimental and theoretical estimates of local skull resistance, a comprehensive study if ictal and interictal phenomena in epilepsy patients, analytic and finite element models of the human head, simultaneous recordings of scalp and cortical EEG in cats (64 channels), application of various splines to estimate surface Laplacians in EEG and evoked potentials, and application of spatial deconvolution methods to multichannel scalp data. The proposed methods are applicable to distributed and time-varying sources. Thus, this work can be expected to be directly applicable to a wide variety of future EEG and evoked potentials studies carried out at numerous locations.