Neurophysiology of Human Cortical Epilepsy

摘要 癫痫仍然是一种毁灭性的疾病，人们对其知之甚少，其治疗方法对许多人来说是不够的。 患者和，在很大程度上，几十年来没有变化。该项目中提出的实验利用 癫痫患者新的微电极记录技术及其定量特征和 大数据集以前所未有的速度获得癫痫潜在的神经元动力学信息 分辨率级别。这个项目的主要假设是，这种高分辨率、多尺度的信息 可用于将癫痫发作分成不同的类别，这些类别的基础机制不同 癫痫发作开始。更具体地说，我们将研究广泛网络的作用和相互作用， 不同皮质层、次要活动和兴奋性和抑制性单个神经元活动作为 癫痫发作开始了。我们希望在这些神经活动的不同特征中发现实质性的差异 不同类型的癫痫发作。这一知识将有助于更全面地理解 以及如何更好地检测、预测和最终控制癫痫发作。

ABSTRACT Epilepsy remains a devastating and poorly understood illness whose therapies are inadequate for many patients and, in large degree, unchanged for decades. The experiments proposed in this project utilize novel microelectrode recording techniques in patients with epilepsy as well as quantitative features and large data sets to obtain information about the neuronal dynamics underlying epilepsy at an unprecedented level of resolution. The primary hypothesis of this project is that this high resolution, multi-scale information can be applied to separate seizures into different classes which differ in the mechanisms which underlie seizure initiation. More specifically, we will be examining the role and interplay of widespread networks, different cortical layers, infraslow activity and both excitatory and inhibitory single neuronal activity as seizures start. We expect to find substantial differences in these different features of neural action in different kinds of seizures. This knowledge will foster the development of a more complete understanding of seizures and how they can be better detected, predicted and ultimately controlled.