SPATIOTEMPORAL BRAIN ACTIVITY MAPS FMRI, EEG AND MEG

描述（改编自申请人的摘要）：这是一个第二阶段的建议。 PI旨在进一步开发一个集成软件包， 时空人脑成像首先，磁共振成像（MRI）是 用于识别可能产生脑磁图（MEG）的偶极子 和/或脑电图（EEG），其位于皮质内并垂直于其 面一种线性估计方法，该方法通过估计 噪声提供动态统计参数图， 在皮层表面的分辨率。可选地，该解决方案可以是有偏的 功能性磁共振成像（fMRI）显示， 在同样的情况下获得。PI打算延长前进和 反运算符更加准确和自动化，并包括以下选项 与其他方法比较。他将提供额外的工具， 解释个别动态地图的准确性和可靠性。最后， PI提出了许多旨在使软件更健壮的变化， 兼容且易于使用。将特别强调发展一个 可靠和方便的工具，计算准确的时空地图， 单独来自EEG的脑活动，以及与MEG和/或 功能磁共振成像。该软件可以广泛用于科学和临床 目前使用EEG但提供有限空间定位的应用。 拟定商业应用： 拟定产品将是一种有效且经验证的方法， 高空间分辨率功能磁共振成像与高时间分辨率MEG/EEG使用空间 来自结构MRI的约束。 这种方法将有助于认知 神经科学家以及临床神经学家和神经外科医生。 初始具体 应用于癫痫手术干预的规划。

DESCRIPTION(adapted from applicant's abstract): This is a Phase II proposal. The PI aims to further develop an integrated software package for spatiotemporal human brain imaging. First, magnetic resonance imaging (MRI) is used to identify possible dipoles generating the magnetoencephalogram (MEG) and/or electroencephalogram (EEG) within the cortex and perpendicular to its surface. A linear estimation approach that employs normalization by estimated noise provides dynamic statistical parametric maps with relatively uniform resolution across the cortical surface. Optionally, the solution can be biased toward those brain areas found to be activated using functional MRI (fMRI) acquired in the same situation. The PI intends to extend the forward and inverse operators to be more accurate and automated, and to include options for comparison with other approaches. He will provide additional tools for interpreting the accuracy and reliability of individual dynamic maps. Finally, the PI proposes numerous changes intended to make the software more robust, compatible and easy-to-use. Special emphasis will be placed on developing a reliable and convenient tool that calculates accurate spatiotemporal maps of cerebral activity from the EEG alone, as well as in combination with MEG and/or fMRI. This software could become widely used in scientific as well as clinical applications that currently use EEG but provide limited spatial localization. PROPOSED COMMERCIAL APPLICATION: The proposed product would be an effective and validated method for combining the high-spatial resolution fMRI with the high temporal-resolution MEG/EEG using spatial constraints derived from the structural MRI. This method will be useful to cognitive neuroscientists as well as clinical neurologists and neurosurgeons. An initial specific application is in the planning of surgical interventions for epilepsy.