Seizure Location Using Signal Processing Techniques

使用信号处理技术进行癫痫发作定位

基本信息

批准号：
7263942
负责人：
Catherine A Schevon
金额：
$ 17.03万
依托单位：
COLUMBIA UNIVERSITY HEALTH SCIENCES
依托单位国家：
美国
项目类别：
财政年份：
2005
资助国家：
美国
起止时间：
2005-08-01 至 2010-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7263942
关键词：
Area Behavior Brain Characteristics Clinical Clinical Data Complement Cortical Column Data Development Diagnostic Drug Formulations Effectiveness Electroencephalogram Electrophysiology (science)Engineering Epilepsy Epileptogenesis Evaluation Excision Experimental Models Focal Seizure Generations Goals Human Investigation K-Series Research Career Programs Link Location Macaca Maps Mathematics Mentors Methods Modality Modeling Monitor Monkeys Neocortex Neurons Operative Surgical Procedures Outcome Partial Epilepsies Pathway interactions Patients Pattern Phase Physiological Processes Population Preparation Primates Process Property Recurrence Research Research Ethics Research Personnel Research Training Resected Seizures Signal Transduction Source Syndrome Techniques Training Training Programs Validation Visual Work base brain tissue career clinical application computerized data processing density design experience improved indexing insight multidisciplinary neocortical neurophysiology programs skills statistics

项目摘要

DESCRIPTION (provided by applicant): A program of research and career development has been designed for the P.I. to devise new methods for interpreting long-term intracranial electroencephalograms (EEG) of epilepsy patients. Intracranial monitoring has been established as the most specific method of seizure localization prior to resective epilepsy surgery. Existing methods of interpretation have proven inadequate for seizures originating in neocortex. Quantitative techniques drawn from the field of signal processing can be applied to EEG signals to reveal spatio- temporal patterns that provide clues to the seizure origin. Mapping of abnormalities in neuronal network organization in the brains of epilepsy patients will be performed, with validation of abnormal findings by evaluation of synchrony and current source density analysis in comparable recordings obtained from normal macaque monkeys. These findings, together with the behavior of EEG recordings during epileptic seizures, will be studied to define ictal EEG patterns and gain insight into their underlying mechanisms of epileptogenesis. This will provide a framework for the formulation of methods for the accurate interpretation of intracranial recordings. A formal training program has been designed for the P.I. specifically tailored to her academic needs, complementing her prior clinical training and experience in engineering and mathematics. This will include: mentoring by experts in electrophysiology, signal processing, primate studies and clinical epileptology, and course work in biomedical signal processing, statistics and research ethics. The goal of this coordinated program of research and training is to complete the preparation of the P.I. for a career as an independent researcher, with the skills to perform multidisciplinary collaborative investigation and a developed capacity to define new directions for research in electrophysiology and epilepsy.

描述（由申请人提供）：已为 P.I. 设计了研究和职业发展计划。设计解释癫痫患者长期颅内脑电图（EEG）的新方法。颅内监测已被确立为癫痫切除手术前癫痫发作定位的最具体方法。现有的解释方法已被证明不足以解释源自新皮质的癫痫发作。来自信号处理领域的定量技术可应用于脑电图信号，以揭示时空模式，为癫痫发作起源提供线索。将绘制癫痫患者大脑中神经元网络组织异常的图谱，并通过从正常猕猴获得的可比记录中评估同步性和电流源密度分析来验证异常发现。将研究这些发现以及癫痫发作期间脑电图记录的行为，以定义发作期脑电图模式并深入了解其癫痫发生的潜在机制。这将为制定准确解释颅内记录的方法提供框架。为 P.I. 设计了正式的培训计划。专门针对她的学术需求量身定制，补充了她之前的临床培训以及工程和数学方面的经验。这将包括：电生理学、信号处理、灵长类动物研究和临床癫痫学专家的指导，以及生物医学信号处理、统计学和研究伦理学方面的课程作业。这项研究和培训协调计划的目标是完成 P.I. 的准备工作。作为一名独立研究人员，具有进行多学科协作调查的技能以及确定电生理学和癫痫研究新方向的能力。