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,治疗癫痫患者的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,癫痫发作并不是突然发生的随机事件,而是概率性的,在一些同步事件触发临床癫痫发作之前,癫痫发作的前体会发生变化。这一系列的研究已经产生了警告和预先预防癫痫发作的设备,其中一些现在正在临床试验中,并有望为即将到来的患者带来令人兴奋的治疗益处。这项研究也有很大的潜力,大大提高我们对癫痫发作和癫痫发生机制的理解,具有更深远的临床意义。不幸的是,在这一领域的研究是显着阻碍有限的访问连续,高质量,宽带记录从植入颅内电极的人,自发癫痫发作的动物模型。这是因为这些数据的获取非常昂贵,劳动密集型,并且过滤,删除工件和注释记录的过程仅持续数周至数月,除了最大和资金最充足的调查团队之外,其他所有人都无法进行。这使得数以百计的合格科学家谁将在这一领域积极工作无法从事这项研究。我们建议建立一个国际合作的数据库的宽带,高质量,注释颅内数据,从人类和自发癫痫发作的动物模型,集中在宾夕法尼亚大学和马约诊所。数据将从全球最高质量的设施收集,并提供给所有研究人员:学术,私人和行业,用于分析。该数据库将由一个国际科学咨询委员会主持,最终将成为一个自我维持的设施,资金来自数据存取费。这项工作将成为国际协作癫痫预测小组的核心,该小组是世界上研究癫痫发作的顶级实验室之间建立的国际合作,其会议得到了美国国立卫生研究院,美国癫痫学会和欧洲EEG学会的支持。该项目将与欧洲人类颅内记录数据库进行公开协调和合作,用于临床研究。我们的目标是使本提案中概述的数据库成为全球癫痫基础科学和转化合作研究的焦点。
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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资助金额:$58.41万
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Ghost in the Machine: Melding Brain, Computer and Behavior
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资助金额:$113.75万
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财政年份:2020
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依托单位:
Ghost in the Machine: Melding Brain, Computer and Behavior
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批准号:10012013
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资助金额:$113.4万
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财政年份:2020
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依托单位:
Ghost in the Machine: Melding Brain, Computer and Behavior
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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:
Training Program in Neuroengineering and Medicine
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批准号:9332918
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项目类别:
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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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批准号:8854679
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资助金额:$23.35万
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财政年份:2015
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依托单位:
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批准号:10438800
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项目类别:
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资助金额:$46.41万
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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:
Neuralynx for Translational Research
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批准号:8052311
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项目类别:
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资助金额:$22.47万
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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:8420447
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项目类别:
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资助金额:$108.63万
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财政年份:2010
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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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资助金额:$111.36万
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The International epilepsy electrophysiology database
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Evolution of seizure precursors in refactory epilepsy
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资助金额:$5.0万
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财政年份:2005
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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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批准号:7269262
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资助金额:$54.36万
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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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依托单位:
海外基金