The International epilepsy electrophysiology database
The International epilepsy electrophysiology database
批准号:
8811191
负责人:
Brian Litt
金额:
$2.5万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-02-15 至 2016-01-31
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
中文摘要
描述(由申请人提供):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如何产生的理解的范式转变。新的证据表明,癫痫发作的发生不是突然的、随机的事件,而是具有概率性的,在某些同步事件引发临床癫痫发作之前,其前兆会逐渐增强和减弱。这方面的研究已经产生了警告和预防癫痫发作的设备,其中一些正在进行临床试验,并有望为即将到来的患者带来令人兴奋的治疗效果。该研究还具有极大的潜力,可以极大地提高我们对癫痫发作和癫痫发生机制的理解,甚至具有更深远的临床意义。不幸的是,这一领域的研究受到植入颅内电极的人类的连续、高质量、宽带记录的限制,以及自发发作的癫痫动物模型的限制。这是因为这些数据的获取非常昂贵,非常耗费人力,而且过滤、删除工件和注释记录的过程仅持续数周到数月,除了规模最大、资金最充足的调查团队之外,所有人都难以承担。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参与这项研究。我们建议以宾夕法尼亚大学和梅奥诊所为中心,建立一个国际协作数据库,包括来自人类和自发性癫痫动物模型的宽带、高质量、带注释的颅内数据。数据将从全球最优质的设施收集,并提供给所有研究人员:学术、私人和工业,以供分析。该数据库将由一个国际科学咨询委员会主持,并最终将成为一个自给自足的设施,由收取的数据取用费提供资金。这项工作将成为国际合作癫痫预测小组的核心,该小组是世界上研究癫痫发作产生的顶级实验室之间建立的国际合作,其会议由美国国立卫生研究院、美国癫痫学会和欧洲脑电图学会支持。该项目将与欧洲临床研究人类颅内记录数据库公开协调和合作。我们的目标是使本提案中概述的这个数据库成为全球癫痫合作研究的焦点,包括基础科学和转化研究。
英文摘要
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.
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Predicting neurosurgical outcomes in focal epilepsy patients using computational modelling.
使用计算建模预测局灶性癫痫患者的神经外科结局。
DOI:
10.1093/brain/aww299
发表时间:
2017-02
期刊:
Brain : a journal of neurology
影响因子:
--
作者:
[Sinha N, Dauwels J, Kaiser M, Cash SS, Brandon Westover M, Wang Y, Taylor PN]
通讯作者:
Taylor PN
DOI:
10.1371/journal.pone.0156476
发表时间:
2016
期刊:
PloS one
影响因子:
3.7
作者:
[Brinkmann BH, Patterson EE, Vite C, Vasoli VM, Crepeau D, Stead M, Howbert JJ, Cherkassky V, Wagenaar JB, Litt B, Worrell GA]
通讯作者:
Worrell GA
DOI:
10.1016/j.jneumeth.2017.08.023
发表时间:
2018-01-01
期刊:
Journal of neuroscience methods
影响因子:
3
作者:
[Cimbálník J, Hewitt A, Worrell G, Stead M]
通讯作者:
Stead M
DOI:
10.1371/journal.pcbi.1004608
发表时间:
2015-12
期刊:
PLoS computational biology
影响因子:
4.3
作者:
[Khambhati AN, Davis KA, Oommen BS, Chen SH, Lucas TH, Litt B, Bassett DS]
通讯作者:
Bassett DS
DOI:
10.1097/wnp.0000000000000159
发表时间:
2015-06
期刊:
Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society
影响因子:
--
作者:
[Wagenaar JB, Worrell GA, Ives Z, Dümpelmann M, Litt B, Schulze-Bonhage A]
通讯作者:
Schulze-Bonhage A
共 8 条
Blackrock Microsystem for Translational Research
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依托单位:
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批准号:10267167
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项目类别:
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资助金额:$113.75万
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财政年份:2020
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负责人:Brian Litt
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依托单位:
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批准号:9332918
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资助金额:$6.06万
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财政年份:2016
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负责人:Brian Litt
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依托单位:
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批准号:10659115
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项目类别:
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资助金额:$48.66万
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财政年份:2015
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负责人:Brian Litt
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依托单位:
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批准号:9084681
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项目类别:
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资助金额:$24.37万
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财政年份:2015
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负责人:Brian Litt
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依托单位:
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批准号:10207789
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项目类别:
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资助金额:$45.95万
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财政年份:2015
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依托单位:
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资助金额:$46.41万
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依托单位:
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财政年份:2011
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负责人:Brian Litt
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依托单位:
The International epilepsy electrophysiology database
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批准号:8212225
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The International epilepsy electrophysiology database
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The International epilepsy electrophysiology database
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Evolution of seizure precursors in refactory epilepsy
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负责人:Brian Litt
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依托单位:
Evolution of seizure precursors in refactory epilepsy
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Evolution of seizure precursors in refactory epilepsy
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