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

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):研究和职业发展计划已被设计为P.I.设计新的方法来解释癫痫患者的长期颅内脑电图(EEG)。颅内监测已被确立为切除性癫痫手术前癫痫发作定位的最特异性方法。现有的解释方法已被证明不足以解释起源于新皮层的癫痫发作。来自信号处理领域的定量技术可以应用于EEG信号,以揭示时空模式,从而为癫痫发作的起源提供线索。将对癫痫患者脑中神经元网络组织的异常进行定位,通过评价从正常猕猴获得的可比记录中的同步性和电流源密度分析来验证异常结果。这些发现,再加上行为的脑电图记录在癫痫发作期间,将被研究,以确定发作脑电图模式,并深入了解其潜在的癫痫发生机制。这将为制定准确解释颅内记录的方法提供一个框架。为私家侦探设计了一个正式的培训计划。专门为她的学术需求量身定制,补充了她之前的临床培训和工程和数学经验。这将包括:由电生理学、信号处理、灵长类动物研究和临床癫痫学专家指导,以及生物医学信号处理、统计学和研究伦理学课程。这个协调的研究和培训计划的目标是完成PI的准备作为一个独立的研究人员的职业生涯,具有进行多学科合作调查的技能和发展能力,以确定在电生理学和癫痫研究的新方向。

项目成果

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Catherine A Schevon其他文献

Catherine A Schevon的其他文献

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{{ truncateString('Catherine A Schevon', 18)}}的其他基金

CRCNS: Neural Populations, High Frequency Oscillations and EEG seizures
CRCNS:神经群体、高频振荡和脑电图癫痫发作
  • 批准号:
    9047876
  • 财政年份:
    2015
  • 资助金额:
    $ 17.03万
  • 项目类别:
CRCNS: Neural Populations, High Frequency Oscillations and EEG seizures
CRCNS:神经群体、高频振荡和脑电图癫痫发作
  • 批准号:
    9150334
  • 财政年份:
    2015
  • 资助金额:
    $ 17.03万
  • 项目类别:
Integrated Multiscale Data Acquisition System for Human Intracranial Neurophysiol
人类颅内神经生理学集成多尺度数据采集系统
  • 批准号:
    8640680
  • 财政年份:
    2014
  • 资助金额:
    $ 17.03万
  • 项目类别:
Dynamics of long range network interactions in focal epilepsy
局灶性癫痫中远程网络相互作用的动态
  • 批准号:
    9792276
  • 财政年份:
    2013
  • 资助金额:
    $ 17.03万
  • 项目类别:
Seizure localization in humans: the effect of inhibitory surround on the EEG
人类癫痫定位:抑制性周围环境对脑电图的影响
  • 批准号:
    8879228
  • 财政年份:
    2013
  • 资助金额:
    $ 17.03万
  • 项目类别:
Seizure localization in humans: the effect of inhibitory surround on the EEG
人类癫痫定位:抑制性周围环境对脑电图的影响
  • 批准号:
    8714087
  • 财政年份:
    2013
  • 资助金额:
    $ 17.03万
  • 项目类别:
Dynamics of long range network interactions in focal epilepsy
局灶性癫痫中远程网络相互作用的动态
  • 批准号:
    10198042
  • 财政年份:
    2013
  • 资助金额:
    $ 17.03万
  • 项目类别:
Dynamics of long range network interactions in focal epilepsy
局灶性癫痫中远程网络相互作用的动态
  • 批准号:
    10456050
  • 财政年份:
    2013
  • 资助金额:
    $ 17.03万
  • 项目类别:
Seizure localization in humans: the effect of inhibitory surround on the EEG
人类癫痫定位:抑制性周围环境对脑电图的影响
  • 批准号:
    8563126
  • 财政年份:
    2013
  • 资助金额:
    $ 17.03万
  • 项目类别:
Seizure Location Using Signal Processing Techniques
使用信号处理技术进行癫痫发作定位
  • 批准号:
    7099427
  • 财政年份:
    2005
  • 资助金额:
    $ 17.03万
  • 项目类别:

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