Validating and optimising the analysis of magnetic resonance physiology data

结合脑电图（EEG）和功能磁共振成像（fMRI）用于检测大脑中显示电活动的解剖区域。世界上有几个中心使用这种技术来定位癫痫患者的癫痫发作病灶。然而，目前应用的技术缺乏验证。目前的分析方法已经开发和验证其他功能磁共振成像范例，如运动任务。目前尚不清楚相同的原理是否适用于fMRI-EEG数据。该项目旨在验证和优化fMRI-EEG数据的分析策略。

Combined electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is used to detect the anatomical areas in the brain that show electrical activity. Several centres worldwide use this technique to localise the seizure focus in patients with epilepsy. However, there is a lack of validation of the currently applied techniques. Current analysis methods have been developed and validated for other fMRI paradigms, such as motor tasks. It is not known whether the same principles are applicable and optimal for fMRI-EEG data. The proposed project aims at validating and optimising the analysis strategies for fMRI-EEG data.