Regional Brain Activity Estimation from M/EEG Data

描述（由申请人提供）：多模态动态脑功能成像包括一组硬件和软件工具，旨在允许研究人员和临床医生研究大脑中事件发生的位置和时间。REGAE（regional activity estimation）是一种可行的和有前途的新方法，用于估计起源于一个或多个脑感兴趣区域（ROIs）的快速神经电活动，并且具有扩展现有功能成像方法的潜力。REGAE方法基于成像和电生理（EEG或MEG）数据的组合，使用先进的统计分析工具。空间分辨率和RO1信号的可检测性是可量化的REGAE框架内，在其中的估计的建模和测量误差的敏感性可以被表征。第二阶段的总体目标是推进理论进步，敏感性研究和现实世界的评估，以开发一个商业上成功的软件组件，与现有的EMSE套件软件集成。 REGAE的预期市场领域是：（i）人脑映射和认知神经科学的基础研究，（ii）神经精神病学和神经病学的临床前研究，以及最具体的（iii）难治性癫痫术前评估的临床应用。

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.