An implantable device to predict and prevent seizures
预测和预防癫痫发作的植入式设备
基本信息
- 批准号:7808779
- 负责人:
- 金额:$ 124.99万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2001
- 资助国家:美国
- 起止时间:2001-08-15 至 2012-04-30
- 项目状态:已结题
- 来源:
- 关键词:Adverse effectsAlgorithmsAnimal ExperimentationAnimal ExperimentsAnimal ModelAnimalsAntiepileptic AgentsBiologicalBiomedical EngineeringBrainCharacteristicsClinicalClinical TrialsCollaborationsComputer SimulationDataDetectionDevelopmentDevicesDropsDyesEelsElectric StimulationElectrodesElementsEngineeringEpilepsyEventEvolutionFeedbackFrequenciesGenerationsGeneticGrantHippocampus (Brain)HumanIn VitroIndustryInterneuronsLearningLinkLocationMachine LearningMapsMeasuresMediatingMetabotropic Glutamate ReceptorsMethodsMulti-Institutional Clinical TrialNeurologyNeurosciencesOrganismOutcomePatientsPatternPhasePhysiologicalPreventionProbabilityProcessProtocols documentationRefractoryResearchResearch PersonnelResolutionRodent ModelSeizuresSeriesSignal TransductionSimulateSiteSliceStatistical MethodsStatistical ModelsSubclinical SeizuresSynaptic plasticityTechniquesTechnologyTechnology TransferTherapeuticTimeTranslatingTranslationsbasecomputerized data processingexperienceimplantable deviceimprovedin vitro Modelin vivoinsightinterestmarkov modelneurosurgerynew technologynovelpreventprogramsresearch studysensorvoltage
项目摘要
DESCRIPTION (provided by applicant): After the first four years of our Bioengineering Research Partnership, implantable devices for epilepsy are now a reality. This is due, in part, to translation of technology developed by our group to industry. Data from multi-center clinical trials of first generation responsive antiepileptic devices indicate that this new technology is safe, and that there is promise of significant benefit to patients. They also demonstrate that 1st-generation devices rarely make patients seizure free. This is because we do not yet understand when, where and how to deliver electrical stimulation to pre-empt seizures, or the mechanisms underlying seizure generation in epileptic networks. These challenges, and translating them into more effective second-generation devices, are the focus of this proposal. Specifically, our aims are: (1) To understand mechanisms underlying seizure generation in two well characterized, spontaneously seizing animal models of epilepsy with documented similarities to refractory human epilepsy, (2) To map seizure generation in the epileptic network to determine where to place sensing electrodes and when to stimulate to maximize seizure suppression and minimize side effects. (3) To develop more effective closed loop stimulation algorithms for controlling seizures. These Aims will be accomplished through a series of projects led by established collaborators in neurology, neuroscience, bioengineering and industry, at Penn, CHOP, Georgia Tech, and BioQuantix, Inc. Teams will focus on improving upon results from first-generation human devices through detailed animal experiments on multiple temporal and spatial scales. These include: (1) the cellular level, through broad-band unit recording and biophysically accurate computational modeling; (2) the network level, with in vitro experiments on hippocampal slices using voltage sensitive dyes and multi-electrode arrays; and (3) the whole brain level, through simultaneous micro and macroelectrode field recordings and responsive brain stimulation in vivo. These experiments will build upon the substantial progress made during the first cycle of our Bioengineering Research Partnership grant. The unique composition of our group, its track record of successful technology transfer, and our ability to learn from and immediately convey our discoveries to existing programmable devices, provide an unprecedented opportunity to perform cutting-edge neuroscience and bioengineering research and immediately translate it into better treatment for patients.
描述(由申请人提供):经过我们的生物工程研究伙伴关系的前四年,癫痫的植入式设备现在已经成为现实。这在一定程度上是由于将我们集团开发的技术转化为工业。来自第一代反应性抗癫痫设备的多中心临床试验的数据表明,这种新技术是安全的,并且有希望为患者带来显着益处。他们还证明,第一代设备很少使患者癫痫发作免费。这是因为我们还不知道何时、何地以及如何提供电刺激来预先控制癫痫发作,或者癫痫网络中癫痫发作的潜在机制。这些挑战,并将其转化为更有效的第二代设备,是本提案的重点。具体而言,我们的目标是:(1)了解两种充分表征的自发性癫痫发作动物模型中癫痫发作产生的机制,这些动物模型与难治性人类癫痫具有记录的相似性,(2)绘制癫痫网络中的癫痫发作产生图,以确定在何处放置传感电极以及何时刺激,以最大限度地抑制癫痫发作并最大限度地减少副作用。(3)开发更有效的闭环刺激算法来控制癫痫发作。这些目标将通过一系列由宾夕法尼亚大学、CHOP、格鲁吉亚理工学院和BioQuantix公司的神经病学、神经科学、生物工程和工业领域的合作者领导的项目来实现。团队将专注于通过在多个时间和空间尺度上进行详细的动物实验来改进第一代人体设备的结果。其中包括:(1)细胞水平,通过宽带单元记录和生物病理学精确的计算建模;(2)网络水平,通过使用电压敏感染料和多电极阵列对海马切片进行体外实验;以及(3)全脑水平,通过同时进行微电极和宏电极场记录和体内响应性脑刺激。这些实验将建立在我们的生物工程研究伙伴关系赠款的第一个周期期间取得的实质性进展。我们团队的独特组成,成功技术转移的记录,以及我们学习并立即将我们的发现传达到现有可编程设备的能力,为进行尖端神经科学和生物工程研究提供了前所未有的机会,并立即将其转化为更好的治疗。
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)
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MARC A DICHTER其他文献
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{{ truncateString('MARC A DICHTER', 18)}}的其他基金
Remapping neurology through translation and innovation
通过翻译和创新重新映射神经病学
- 批准号:
9084668 - 财政年份:2015
- 资助金额:
$ 124.99万 - 项目类别:
Postdoc Training in Translational Research in Neural Injury and Neurodegeneration
神经损伤和神经变性转化研究博士后培训
- 批准号:
7649268 - 财政年份:2006
- 资助金额:
$ 124.99万 - 项目类别:
Postdoc Training in Translational Research in Neural Injury and Neurodegeneration
神经损伤和神经变性转化研究博士后培训
- 批准号:
7463661 - 财政年份:2006
- 资助金额:
$ 124.99万 - 项目类别:
Postdoc Training in Translational Research in Neural Injury and Neurodegeneration
神经损伤和神经变性转化研究博士后培训
- 批准号:
7193899 - 财政年份:2006
- 资助金额:
$ 124.99万 - 项目类别:
Postdoc Training in Translational Research in Neural Injury and Neurodegeneration
神经损伤和神经变性转化研究博士后培训
- 批准号:
7292819 - 财政年份:2006
- 资助金额:
$ 124.99万 - 项目类别:
Postdoc Training in Translational Research in Neural Injury and Neurodegeneration
神经损伤和神经变性转化研究博士后培训
- 批准号:
7882327 - 财政年份:2006
- 资助金额:
$ 124.99万 - 项目类别:
The neurobiology of disease: a comprehensive graduate curriculum
疾病的神经生物学:综合研究生课程
- 批准号:
7125066 - 财政年份:2005
- 资助金额:
$ 124.99万 - 项目类别:
The neurobiology of disease: a comprehensive graduate curriculum
疾病的神经生物学:综合研究生课程
- 批准号:
7072406 - 财政年份:2005
- 资助金额:
$ 124.99万 - 项目类别:
An implantable device to predict and prevent seizures
预测和预防癫痫发作的植入式设备
- 批准号:
8059576 - 财政年份:2001
- 资助金额:
$ 124.99万 - 项目类别:
An implantable device to predict and prevent seizures
预测和预防癫痫发作的植入式设备
- 批准号:
7616844 - 财政年份:2001
- 资助金额:
$ 124.99万 - 项目类别:
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