QUANTITATIVE ICTAL FLOW CHANGES IN LOCALIZING EPILEPSY
局限性癫痫发作时血流的定量变化
基本信息
- 批准号:2685750
- 负责人:
- 金额:$ 36.24万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:1997
- 资助国家:美国
- 起止时间:1997-04-01 至 2001-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
DESCRIPTION (Applicant's Abstract): We propose that the site of seizure
onset in epilepsy can be imaged by novel analysis of ictal and interictal
nuclear medicine tomographic perfusion scans. The imaging techniques
proposed here will yield data supporting the hypothesis that the
epileptogenic region exhibits a hyperperfusion at seizure onset; and after a
short time after seizure cessation, enters a state of excess hypoperfusion
for a short time. WE believe that by analyzing EEG with SPECT difference
images, we can support a physiological model which demonstrates the
correlation between brain electrical activity and perfusion. By
understanding the perfusion change characteristics at and near the
epileptogenic region and by controlling the time of injection after seizure
onset, we will be able to better localize seizure regions. This proposal
outlines a prospective study in which a new image processing analysis will
be applied to 60 epileptic patients. These patients will undergo SPECT
imaging under a new protocol which localizes the epileptogenic region and
strives to characterize the correlation between perfusion and synaptic
activity. By registering the SPECT scans and applying our proposed
processing algorithm, the location and size of perfusion alterations (both
positive and negative) at the time of epileptic seizures can be shown in a
functional image (difference-images). After appropriate normalization of
the SPECT scan, a quantitative measure of change in regional brain blood
flow can be calculated. These quantitative functional difference-images are
superimposed on the anatomical detail provided by registered MRI. Careful
analysis of this quantitative depiction of regions of positive and negative
ictal blood flow changes during seizures may allow accurate definition of
areas of spontaneous seizure onset and propagation. The patients in this
study will undergo intracranial depth electrode implantation and surgery to
localize and remove the area of seizure onset. Within the scope of this
proposal we intend to accomplish the following tasks:
Obtain perfusion images from ictal injection whose injection time vary from
immediately after seizure onset to 5 minutes after seizure cessation.
Update our model of perfusion changes correlated to synaptic activity during
seizure based on these measurements. Create a model of the temporal
evaluation of perfusion changes peri-ictally to establish an optimal imaging
protocol.
描述(申请人摘要):我们建议扣押地点
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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GEORGE ZUBAL其他文献
GEORGE ZUBAL的其他文献
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{{ truncateString('GEORGE ZUBAL', 18)}}的其他基金
Automated Parkinson's Disease Dopamine Transporter Scan Analysis Fast Track
自动帕金森病多巴胺转运蛋白扫描分析快速通道
- 批准号:
7470583 - 财政年份:2007
- 资助金额:
$ 36.24万 - 项目类别:
Computational Tools for Research in Neuroscience, Behavioral Science and Mental H
用于神经科学、行为科学和心理健康研究的计算工具
- 批准号:
8550137 - 财政年份:2007
- 资助金额:
$ 36.24万 - 项目类别:
Computational Tools for Research in Neuroscience, Behavioral Science and Mental H
用于神经科学、行为科学和心理健康研究的计算工具
- 批准号:
8252547 - 财政年份:2007
- 资助金额:
$ 36.24万 - 项目类别:
Automated Parkinson's Disease Dopamine Transporter Scan Analysis Fast Track
自动帕金森病多巴胺转运蛋白扫描分析快速通道
- 批准号:
7328298 - 财政年份:2007
- 资助金额:
$ 36.24万 - 项目类别:
Automated Parkinson's Disease Dopamine Transporter Scan Analysis Fast Track
自动帕金森病多巴胺转运蛋白扫描分析快速通道
- 批准号:
7927833 - 财政年份:2007
- 资助金额:
$ 36.24万 - 项目类别:
Automated Parkinson's Disease Dopamine Transporter Scan Analysis Fast Track
自动帕金森病多巴胺转运蛋白扫描分析快速通道
- 批准号:
7629751 - 财政年份:2007
- 资助金额:
$ 36.24万 - 项目类别:
QUANTITATIVE ICTAL FLOW CHANGES IN LOCALIZING EPILEPSY
局限性癫痫发作时血流的定量变化
- 批准号:
2038512 - 财政年份:1997
- 资助金额:
$ 36.24万 - 项目类别:
QUANTITATIVE ICTAL FLOW CHANGES IN LOCALIZING EPILEPSY
局限性癫痫发作时血流的定量变化
- 批准号:
2892140 - 财政年份:1997
- 资助金额:
$ 36.24万 - 项目类别:
QUANTITATIVE ICTAL FLOW CHANGES IN LOCALIZING EPILEPSY
局限性癫痫发作时血流的定量变化
- 批准号:
6188080 - 财政年份:1997
- 资助金额:
$ 36.24万 - 项目类别:














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