Regional Brain Activity Estimation from M/EEG Data

描述（由申请人提供）：多模态动态功能脑成像包括一套硬件和软件工具，旨在允许研究人员和临床医生研究大脑中事件发生的地点和时间。REGAE（区域活动估计）是一种可行且有前途的新方法，用于估计源自一个或多个大脑感兴趣区域（ROls）的快速神经电活动，并具有扩展现有功能成像方法的潜力。REGAE方法是基于成像和电生理（EEG或MEG）数据的结合，使用先进的统计分析工具。在REGAE框架内，空间分辨率和RO1信号可探测性都是可量化的，在REGAE框架内，估计器对建模和测量误差的敏感性可以表征。第二阶段的总体目标是推进REGAE的理论进步、敏感性研究和实际评估，以便开发一个商业上成功的软件组件，与现有的EMSE Suite软件集成。

DESCRIPTION (provided by applicant): Multimodal dynamic functional brain imaging comprises a set of hardware and software tools intended to permit researchers and clinicians to study where and when events occur in the brain. REGAE (regional activity estimation) is a feasible and promising new methodology for estimating fast neuroelectric activity that originates in one or more brain regions of interest (ROls), and has the potential to extend existing functional imaging methods. The REGAE method is based on the combination of imaging and electrophysiological (EEG or MEG) data, using advanced statistical analysis tools. Both spatial resolution and RO1 signal detectability are quantifiable within the REGAE framework, within which an estimator's sensitivity to modeling and measurement errors can be characterized. The overall aim of Phase II is to push forward with theoretical advancement, sensitivity studies, and real-world evaluations of REGAE in order to develop a commercially successful software component that integrates with existing EMSE Suite software. The intended market areas for REGAE are: (i) basic research in human brain mapping and cognitive neuroscience, (ii) preclinical research in neuropsychiatry and neurology, and, most specifically, (iii) clinical application in presurgical evaluations for intractable epilepsy.