CRCNS: Model Based Data Assimilation & Control of Sleep-Wake Regulation in Epilepsy
CRCNS:基于模型的数据同化
基本信息
- 批准号:8928615
- 负责人:
- 金额:$ 29.85万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-09-17 至 2018-05-31
- 项目状态:已结题
- 来源:
- 关键词:AccountingAnimalsAssimilationsBehaviorBehavioralBiologicalBrainCell NucleusCellsChronicComputer SimulationCoupledCouplingDataDatabasesDevelopmentDiagnosisDiseaseElectric StimulationEngineeringEpilepsyFeedbackHippocampus (Brain)ImplantInvestigationMeasurementMental HealthMetabolicMethodologyMethodsModelingMonitorNeurologicNeurosciencesPatternPerformancePredispositionProcessQuality of lifeRattusRegulationReportingReproductionResearchRoleSchizophreniaSeizuresSensorySeriesSleepSystemTechniquesTemporal Lobe EpilepsyTimeValidationWorkbasebiological systemsdisorder controlinformation processingmathematical modelnervous system disordernetwork modelsneural stimulationoutreachreconstructionrelating to nervous systemsleep epilepsysleep regulationstatisticstherapy development
项目摘要
DESCRIPTION (provided by applicant): Sleep is a fundamental biological cycle that is coupled into every aspect of body function from behavior and information processing to metabolic storage and release. Sleep-wake patterns correlate with, and sleep disruptions are comorbid with, many neurological and mental health disease dynamics including epilepsy. Abnormal sleep can be disruptive to quality of life and further exacerbate the primary disorders.
Within the past decade a number of groups have developed mathematical and computational dynamical models for the network of brain nuclei and cell groups that regulate sleep-wake dynamics. But their validation to date has been substantially limited to reproduction of statistic of cycle time and dwell time durations, and their application to understanding and control of diseases limited. The first objective of this project is to validate and optimize these models for reconstruction, forecasting, and control of sleep-wake regulation. This involves experimentally recording activity from select cell groups of the sleep-wake regulatory system (SWRS) along with cortical, hippocampal, and behavioral activity. The mathematical models will be incorporated into model-based data assimilation (DA). The parameters and models will be optimized for reconstruction and forecasting, and performance will be used to establish the 'best' model. Experimental perturbation of sleep state and sleep cycle dynamics will be done with both sensory and direct neural stimulation. The models will then be modified to account for and predict changed dynamics from such perturbations. The second objective of this project is to apply these models and framework to understand and control sleep-cycle dis-regulation in a model of temporal lobe epilepsy. This involves experimentally recording activity from the SWRS in epileptic animals, modifying and optimizing the models to reconstruct and forecast the observed sleep cycle dynamics. The models will then be used in closed feedback form to prescribe control perturbations to regularize the sleep cycles of the epileptic animals. The project embodies a paradigm shift for neuroscience and neural-engineering in which computational models are validated and optimized through their capacity to reconstruct and forecast detailed time series from real neurological measurements, that such model-based reconstruction is used to observe detailed state dynamics from less costly (invasive or damaging) measurements, and in which such biologically based models are used to control neurological systems and treat neurological disorders. The approach of this proposed research will have a major impact in diagnosing, monitoring, and controlling neurological disorders by both incorporating detailed biologically based models into the measurement or observation process, and by allowing remote observation through measurement of identified less costly measurements. The specific validation and improvement of computational models and observation methodology of the sleep-wake regulatory system will allow detailed investigation of its role in a host of neurological diseases in which sleep regulatin is implicated either as a cause or consequence, such as epilepsy and schizophrenia, and thereby the development of interventions or therapy. In addition to the theoretical and experimental advances, educational and outreach will be served through this project, including development of new course materials and enhancing underrepresented participation in research.
描述(由申请人提供):睡眠是一个基本的生物周期,它与身体功能的各个方面(从行为和信息处理到代谢储存和释放)相关联。 睡眠-觉醒模式与包括癫痫在内的许多神经和精神健康疾病动力学相关,并且睡眠中断与之共病。 异常的睡眠可能会破坏生活质量,并进一步加剧原发性疾病。
在过去的十年中,许多研究小组已经开发出了调节睡眠-觉醒动力学的脑核团和细胞群网络的数学和计算动力学模型。 但迄今为止,它们的验证基本上仅限于再现周期时间和停留时间持续时间的统计数据,并且它们在理解和控制疾病方面的应用有限。该项目的第一个目标是验证和优化这些模型,用于重建,预测和控制睡眠-觉醒调节。 这涉及到实验记录活动从选定的细胞群的睡眠-觉醒调节系统(SWRS)沿着与皮质,海马,和行为活动。 数学模型将被纳入基于模型的数据同化(DA)。 参数和模型将被优化用于重建和预测,性能将用于建立“最佳”模型。 睡眠状态和睡眠周期动力学的实验扰动将通过感觉和直接神经刺激来完成。 然后将对模型进行修改,以说明和预测这种扰动引起的动态变化。该项目的第二个目标是应用这些模型和框架来理解和控制颞叶癫痫模型中的睡眠周期失调。 这涉及实验记录癫痫动物SWRS的活动,修改和优化模型以重建和预测观察到的睡眠周期动态。 然后,该模型将被用于封闭的反馈形式,规定控制扰动,以规范癫痫动物的睡眠周期。 该项目体现了神经科学和神经工程的范式转变,其中计算模型通过其从真实的神经测量重建和预测详细时间序列的能力进行验证和优化,这种基于模型的重建用于从更低成本的神经测量观察详细的状态动态。在一些实施例中,神经系统模型可用于(侵入性或损伤性)测量,并且其中这种基于生物学的模型用于控制神经系统和治疗神经病症。 这项拟议研究的方法将对诊断、监测和控制神经系统疾病产生重大影响,方法是将详细的基于生物学的模型纳入测量或观察过程,并允许通过测量确定的成本较低的测量进行远程观察。 睡眠-觉醒调节系统的计算模型和观察方法的具体验证和改进将允许详细调查其在许多神经系统疾病中的作用,其中睡眠调节作为原因或结果,例如癫痫和精神分裂症,从而开发干预或治疗。 除了在理论和实验方面取得进展外,还将通过该项目开展教育和外联活动,包括编写新的课程材料和加强代表性不足的研究参与。
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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Kevin Douglas Alloway其他文献
Kevin Douglas Alloway的其他文献
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{{ truncateString('Kevin Douglas Alloway', 18)}}的其他基金
CRCNS: Model Based Data Assimilation & Control of Sleep-Wake Regulation in Epilepsy
CRCNS:基于模型的数据同化
- 批准号:
8837128 - 财政年份:2014
- 资助金额:
$ 29.85万 - 项目类别:
CRCNS: Model Based Data Assimilation & Control of Sleep-Wake Regulation in Epilepsy
CRCNS:基于模型的数据同化
- 批准号:
9087227 - 财政年份:2014
- 资助金额:
$ 29.85万 - 项目类别:
Integrated magnetic resonance and infrared imaging system for studying neural act
用于研究神经行为的集成磁共振和红外成像系统
- 批准号:
7387636 - 财政年份:2008
- 资助金额:
$ 29.85万 - 项目类别:
Integrated magnetic resonance and infrared imaging system for studying neural act
用于研究神经行为的集成磁共振和红外成像系统
- 批准号:
7554625 - 财政年份:2008
- 资助金额:
$ 29.85万 - 项目类别:
CORTICOSTRIATAL INFLUENCES ON NEOSTRIATAL PROCESSING
皮质纹状体对新纹状体加工的影响
- 批准号:
6393932 - 财政年份:1999
- 资助金额:
$ 29.85万 - 项目类别:
Somatosensory Cortical Influences on Subcortical Processing
体感皮质对皮质下处理的影响
- 批准号:
7467715 - 财政年份:1999
- 资助金额:
$ 29.85万 - 项目类别:
Corticostriatal Influences on Neostriatal Processing
皮质纹状体对新纹状体加工的影响
- 批准号:
6545452 - 财政年份:1999
- 资助金额:
$ 29.85万 - 项目类别:
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