Parametric Brain Imaging via Modeling and Analysis of Electroencephalographic Signals

通过脑电图信号建模和分析进行参数化脑成像

• 批准号: LP0346991
• 负责人: Prof Peter Robinson
• 金额: $ 12.71万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2003
• 资助国家: 澳大利亚
• 起止时间: 2003-01-01 至 2005-11-15
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP0346991
• 关键词: Parametric; Brain; Imaging; via; Modeling

Parameters of brain function and physiology will be spatially imaged with high time resolution via their effects on electroencephalographic (EEG) signals, a form of imaging that is impossible with existing methods. This will be achieved by improving existing physiologically-based models of the generation of EEGs and developing analysis tools based on fitting of model predictions to multielectrode EEG data. The results will be used to probe spatiotemporal features of EEGs in normal subjects to explore the underlying fundamental mechanisms and to infer novel parameter variations of practical relevance.

通过对脑电(EEG)信号的影响，脑功能和生理参数将以高时间分辨率进行空间成像，这是一种现有方法不可能实现的成像形式。这将通过改进现有的基于生理学的脑电产生模型和开发基于模型预测与多电极脑电数据拟合的分析工具来实现。这些结果将被用来探索正常受试者脑电的时空特征，探索潜在的基本机制，并推断具有实际意义的新的参数变化。