The International epilepsy electrophysiology database
国际癫痫电生理学数据库
基本信息
- 批准号:8420447
- 负责人:
- 金额:$ 108.63万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2010
- 资助国家:美国
- 起止时间:2010-02-15 至 2015-01-31
- 项目状态:已结题
- 来源:
- 关键词:AlgorithmsAmericanAnimal ModelAnimalsAreaBasic ScienceClinicClinicalClinical ResearchClinical TrialsCollaborationsDataData CollectionData QualityData SetDatabasesDetectionDevelopmentDevicesElectrodesElectroencephalographyElectrophysiology (science)EpilepsyEpileptogenesisEquilibriumEuropeanEvaluationEventFees and ChargesFundingGeneralized EpilepsyGenerationsGoalsGrantHigh Frequency OscillationHumanImplantImplanted ElectrodesIndustryInternationalLaboratoriesLengthLinkLobeMicroelectrodesMorphologic artifactsOperative Surgical ProceduresPatientsPennsylvaniaPrincipal InvestigatorProcessQualifyingRefractoryResearchResearch PersonnelSamplingScientistSeizuresShippingShipsSocietiesSoftware ToolsThalamic structureTherapeuticUnited States National Institutes of HealthUniversitiesWaxesWorkanimal dataclinical caredata formatdata managementdetectorhuman dataimprovedmeetingsneocorticalopen sourcepreventprogramsprototypepublic health relevancesensortoolwiki
项目摘要
DESCRIPTION (provided by applicant): One of the most exciting developments in treating people with epilepsy, since the turn of the century, is a paradigm shift in our understanding of how epileptic seizures are generated. Rather than starting as abrupt, random events, new evidence suggests that seizure generation is probabilistic, with precursors that wax and wane before some synchronizing event triggers clinical seizures. This line of research has given rise to devices to warn of and pre-empt seizures, some now in clinical trials, and promises exciting therapeutic benefits to patients on the horizon. The research also has great potential to dramatically improve our understanding of the mechanisms underlying seizure generation and epileptogenesis, with even more profound clinical implications. Unfortunately, research in this field is significantly hindered by limited access to continuous, high quality, broad-band recordings from humans implanted with intracranial electrodes, and spontaneously seizing animal models of epilepsy. This is because these data are very expensive to acquire, extremely labor intensive, and the process of filtering, removing artifacts, and annotating recordings spanning weeks to months alone is prohibitive for all but the largest and best-funded investigative teams to undertake. This leaves literally hundreds of qualified scientists who would be actively working in this area unable to engage in this research. We propose to construct an international, collaborative database of broad-band, high quality, annotated intracranial data, from humans and spontaneously seizing animal models of epilepsy, centered at the University of Pennsylvania and Mayo Clinic. Data will be collected from the highest quality facilities worldwide, and made available to all investigators: academic, private and industry, for analysis. The database will be presided over by an international Scientific Advisory Board, and will eventually be a self-sustaining facility, funded by fees charged for data access. This effort will be the centerpiece of The International Collaborative Seizure-Prediction Group, a well-established international collaboration between the top laboratories in the world that study seizure generation, and whose meetings are supported by the National Institutes of Health, American Epilepsy Society, and European EEG Societies. This project will coordinate and collaborate openly with a European database of human intracranial recordings for clinical research. We aim to make this database outlined in this proposal a focal point for collaborative research in epilepsy, both basic science and translational, worldwide.
描述(申请人提供):自世纪之交以来,在治疗癫痫患者方面最令人兴奋的发展之一是,我们对癫痫发作是如何产生的理解发生了范式转变。新的证据表明,癫痫的产生是概率的,而不是作为突然的、随机的事件开始的,在一些同步事件触发临床癫痫发作之前,先兆会兴衰。这一系列研究已经产生了警告和预防癫痫发作的设备,其中一些现在正在进行临床试验,并有望为即将到来的患者带来令人兴奋的治疗益处。这项研究还具有巨大的潜力,可以极大地提高我们对癫痫发生和癫痫发生的机制的理解,具有更深刻的临床意义。不幸的是,这一领域的研究明显受到限制,因为有限的机会获得连续的,高质量的宽带记录,从人类植入的颅内电极,并自发地捕获动物模型的癫痫。这是因为这些数据的获取成本非常高,劳动密集度极高,仅过滤、移除人工制品和注释记录的过程就需要几周到几个月的时间,除了规模最大、资金最雄厚的调查小组外,其他所有调查小组都无法进行。这使得数百名本应积极从事这一领域工作的合格科学家无法从事这项研究。我们建议建立一个以宾夕法尼亚大学和梅奥诊所为中心的国际协作数据库,其中包括来自人类和自发捕获癫痫动物模型的宽带、高质量、带注释的颅内数据。数据将从全球最高质量的设施中收集,并提供给所有调查人员:学术、私人和行业,以供分析。该数据库将由一个国际科学咨询委员会主持,最终将成为一个自给自足的设施,资金来自数据访问收费。这项工作将是国际合作癫痫发作预测小组的核心工作,该小组是世界上研究癫痫发作发生的顶级实验室之间的一个成熟的国际合作,其会议得到了美国国立卫生研究院、美国癫痫学会和欧洲脑电学会的支持。该项目将与用于临床研究的人类颅内记录的欧洲数据库进行公开协调和合作。我们的目标是使这个提案中概述的数据库成为全球癫痫基础科学和翻译领域合作研究的焦点。
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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Brian Litt其他文献
Brian Litt的其他文献
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{{ truncateString('Brian Litt', 18)}}的其他基金
Blackrock Microsystem for Translational Research
用于转化研究的 Blackrock Microsystem
- 批准号:
10177033 - 财政年份:2021
- 资助金额:
$ 108.63万 - 项目类别:
Ghost in the Machine: Melding Brain, Computer and Behavior
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10475292 - 财政年份:2020
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$ 108.63万 - 项目类别:
Ghost in the Machine: Melding Brain, Computer and Behavior
机器中的幽灵:大脑、计算机和行为的融合
- 批准号:
10704095 - 财政年份:2020
- 资助金额:
$ 108.63万 - 项目类别:
Ghost in the Machine: Melding Brain, Computer and Behavior
机器中的幽灵:大脑、计算机和行为的融合
- 批准号:
10012013 - 财政年份:2020
- 资助金额:
$ 108.63万 - 项目类别:
Ghost in the Machine: Melding Brain, Computer and Behavior
机器中的幽灵:大脑、计算机和行为的融合
- 批准号:
10267167 - 财政年份:2020
- 资助金额:
$ 108.63万 - 项目类别:
Training Program in Neuroengineering and Medicine
神经工程和医学培训计划
- 批准号:
9332918 - 财政年份:2016
- 资助金额:
$ 108.63万 - 项目类别:
Training Program in Neuroengineering and Medicine
神经工程和医学培训计划
- 批准号:
10659115 - 财政年份:2015
- 资助金额:
$ 108.63万 - 项目类别:
Training Program in Neuroengineering and Medicine
神经工程和医学培训计划
- 批准号:
9084681 - 财政年份:2015
- 资助金额:
$ 108.63万 - 项目类别:
Training Program in Neuroengineering and Medicine
神经工程和医学培训计划
- 批准号:
10207789 - 财政年份:2015
- 资助金额:
$ 108.63万 - 项目类别:
Training Program in Neuroengineering and Medicine
神经工程和医学培训计划
- 批准号:
8854679 - 财政年份:2015
- 资助金额:
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