OPTIMISED CHARACTERISATION OF DEEP BRAIN OSCILLATORY DYNAMICS IN HEALTH & DISEASE, USING NOVEL ACQUISITION/ANALYSIS OF SIMULTANEOUS MEG AND EEG

该项目的目的是通过开发和应用新的方法将脑磁图和脑电(MEEG)结合起来，更好地定位大脑内振荡活动的来源。特别是，脑电和脑磁图的结合将允许更敏感地描述更深层次的大脑结构，如杏仁核和内侧颞叶--这些结构很难单独用脑磁图测量。在这个项目中，我首先将根据我以前在诺丁汉的物理硕士课程所做的工作来开发方法。然后，我将展示这些优化方法在认知范式中的应用，例如杏仁核对面部刺激的情绪反应的脑电定位。这些方法还将被用来更好地描述内侧颞叶癫痫患者的深层活动，如空间记忆范式中的海马theta振荡。

The aim of this project is to better localise sources of oscillatory activity within the brain by developing and applying novel methods to combine concurrent MEG and EEG (MEEG). In particular, the combination of EEG with MEG will allow more sensitive characterisation of deeper brain structures such as the amygdala and medial temporal lobe - structures that are difficult to measure from with MEG alone. In this project I first will develop methods based on work from my previous Masters course in Physics at Nottingham. I will then demonstrate the application of these optimised methods in cognitive paradigms such as MEEG localisation of emotional responses in the amygdala to, for example, face stimuli. The methods will also be used to better characterise deep activity, such as hippocampal theta oscillations in spatial memory paradigms, in mesial temporal lobe epilepsy patients.