Neurophysiology of Human Cortical Epilepsy

人类皮质癫痫的神经生理学

• 批准号: 9767289
• 负责人: SYDNEY S CASH
• 金额: $ 62.39万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-04-01 至 2022-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9767289
• 关键词: Adopted; Affect; Age of Onset; Amplifiers; Area; Behavior; Brain; Classification; Clinical; Data; Data Set; Databases; Development; Epilepsy; Etiology; Focal Seizure; Fostering; Foundations; Goals; High Frequency Oscillation; Human; Individual; Intervention; Investigation; Knowledge; Link; Machine Learning; Measures; Medical; Methods; Microelectrodes; Mind; Neurons; Patients; Pharmaceutical Preparations; Physiologic pulse; Physiological; Physiology; Probability; Procedures; Process; Regression Analysis; Research; Resolution; Role; Seizures; Synapses; Techniques; Testing; Therapeutic; Time; Utah; Work; base; experimental study; neural network; neurophysiology; novel; novel therapeutic intervention; personalized approach; relating to nervous system; response; side effect; spatiotemporal; success; surgery outcome; voltage

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.

抽象的 癫痫仍然是一种毁灭性的、人们知之甚少的疾病，其治疗方法对许多人来说是不够的 患者的情况，并且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 癫痫患者的新型微电极记录技术以及定量特征和 大数据集以前所未有的速度获取有关癫痫背后的神经元动力学的信息 分辨率级别。该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为不同类别，这些类别的机制不同 癫痫发作启动。更具体地说，我们将研究广泛网络的作用和相互作用， 不同的皮质层、低速活动以及兴奋性和抑制性单个神经元活动 癫痫发作开始。我们期望在神经活动的这些不同特征中发现显着差异 不同类型的癫痫发作。这些知识将有助于更全面地理解 癫痫发作以及如何更好地检测、预测和最终控制癫痫发作。