Potter Tom, Karmonik Christof, Grossman Robert
Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug;2015:630-3. doi: 10.1109/EMBC.2015.7318441.
A novel approach for Electroencephalogram (EEG) and functional Magnetic Resonance Imaging (fMRI) integration analysis was developed, specifically designed to explore the spatial and temporal details of the "sequential multi-event-related potential" type of neural activities. The approach utilizes the high temporal resolution nature of EEG to compute a current density mapping of the cortical activity, informed by the high spatial resolution fMRI in a time-variant, spatially selective manner. This method was implemented in the analysis of an EEG/fMRI study on motor activation in responses to a visual stimulus that evoked an emotional response. The processed windowed EEG signals were analyzed to select the temporally relevant partial fMRI mapping, which in turn was used to inform EEG source localization calculation. The results were compared against traditional fMRI-informed EEG approaches to demonstrate the spatiotemporal variant fMRI constraints feature as well as the performance of the developed method.
开发了一种用于脑电图（EEG）和功能磁共振成像（fMRI）整合分析的新方法，该方法专门设计用于探索“序列多事件相关电位”类型神经活动的空间和时间细节。该方法利用EEG的高时间分辨率特性，以时变、空间选择性的方式，根据高空间分辨率的fMRI计算皮质活动的电流密度映射。该方法应用于一项EEG/fMRI研究的分析中，该研究涉及对诱发情绪反应的视觉刺激做出运动激活反应。对经过处理的加窗EEG信号进行分析，以选择与时间相关的部分fMRI映射，进而将其用于指导EEG源定位计算。将结果与传统的基于fMRI的EEG方法进行比较，以证明时空变化的fMRI约束特征以及所开发方法的性能。
