Longitudinal multimodal mapping to decipher the neurovascular impact of microinfarcts
纵向多模态映射破译微梗塞对神经血管的影响
基本信息
- 批准号:10076240
- 负责人:
- 金额:$ 47.74万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-02-01 至 2023-12-31
- 项目状态:已结题
- 来源:
- 关键词:AcuteAnesthesia proceduresAnimal ModelAnimalsBrainBrain InjuriesBrain regionCerebrovascular CirculationCerebrovascular DisordersChronicClinicalDetectionElectrodesElectrophysiology (science)EventEvolutionFunctional ImagingGoalsHistologicHistologyHumanImageImaging TechniquesImpaired cognitionImpairmentIndividualInfarctionInterventionInvestigationLeadLesionLinkLocationMapsMeasurementMethodsMicroscopicMicrovascular DysfunctionNeurodegenerative DisordersNeurologicNeurologic DysfunctionsNeuronsOptical MethodsOpticsOutcomePathologicPatientsPatternPhysiologicalRecording of previous eventsResolutionRisk FactorsSiteSpatial DistributionStrokeSurfaceSystemTechniquesTherapeuticTimeTime FactorsTissuesWorkagedawakecerebral microinfarctclinically relevantdensityeffective interventionexperimental studyflexibilityhemodynamicsimplantationimprovedin vivoinnovationinsightmillimetermouse modelmultimodalityneuroimagingneurophysiologyneurovascularnovelrelating to nervous systemresponseserial imagingspatiotemporaltwo-dimensional
项目摘要
PROJECT SUMMARY:
Cerebral microinfarcts are in association with neurologic dysfunctions in aged and injured brain where they are
found to be prevalent, but often escape clinical detection owing to their small sizes. Although evidence
suggests that microinfarcts likely have a distinct time course and spatial pattern compared to larger infarcts,
spatially-resolved, longitudinal tracking of both hemodynamic and neural responses in the same brain has not
been realized, largely due to a lack of methods capable of quantifying multiple neurophysiological and
hemodynamic parameters with sufficient spatial resolution over periods of weeks to months. As a result, the
neurophysiological consequences of individual or cumulative microinfarcts, including their spatiotemporal
evolution and long-term outcome, remain largely unknown, limiting our ability to identify and target them for
intervention strategies. The long-term goal is to understand the pathological impacts of microinfarcts with
variability in abundance, spatial distribution, occurrence time and risk factors similar to human patients. The
objective of this project is to determine the neural and hemodynamic impact of individual and cumulative
cerebral microinfarcts in a mouse model. The hypothesis is that microinfarcts lead to spatiotemporally varying
neuronal impairment and hemodynamic deficits that extend well beyond the lesion site and into chronic time
scales, which requires spatially resolving and longitudinal tracking of multiple neurophysiological parameters
over weeks to months to reveal their full impacts. We will use two types of ultra-flexible neural electrode arrays
for spatially-resolved surface and intracortical recording, both of which are compatible with chronic optical
methods. We will combine neural recording with a set of optical systems that are able to induce targeted micro-
occlusions with controlled size, location and onset time, and to map and quantify cerebral blood flow and
oxygenation over a global field of view and at depth-resolved microscopic scales. Using awake, behaving
animals, we will 1) determine the correlation between hemodynamic and neural changes induced by individual
microinfarcts, 2) map and track the spatial extent of microinfarcts at controlled lesion sizes, and 3) determine
the hemodynamic and neural impacts of cumulative microinfarcts with delayed onset time. The application is
highly innovative, in the applicant’s opinion, because it integrates technical advancements on both functional
imaging and neural recording to provide a highly novel and powerful combination that permits longitudinal,
spatially resolved quantification of multiple neurophysiological parameters in the same brain region and allows
for investigation of microinfarcts in previously unattainable regimes. The project will improve the understanding
of the physiological impact of microinfarcts and their contribution to neurologic dysfunctions in a variety of
neurodegenerative and cerebrovascular diseases that they coexist with, and provide new insight into the
therapeutic time window for intervention.
项目总结:
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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Lan Luan其他文献
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{{ truncateString('Lan Luan', 18)}}的其他基金
Optimizing ultraflexible electrodes and integrated electronics for high-resolution, large-scale intraspinal recording and modulation
优化超柔性电极和集成电子器件以实现高分辨率、大规模椎管内记录和调制
- 批准号:
10617092 - 财政年份:2023
- 资助金额:
$ 47.74万 - 项目类别:
Admin Supp for Longitudinal multimodal mapping to decipher the neurovascular impact of microinfarcts
纵向多模式映射的管理补充,以破译微梗塞对神经血管的影响
- 批准号:
10166211 - 财政年份:2020
- 资助金额:
$ 47.74万 - 项目类别:
Longitudinal multimodal mapping to decipher the neurovascular impact of microinfarcts
纵向多模态映射破译微梗塞对神经血管的影响
- 批准号:
10556319 - 财政年份:2019
- 资助金额:
$ 47.74万 - 项目类别:
Longitudinal multimodal mapping to decipher the neurovascular impact of microinfarcts
纵向多模态映射破译微梗塞对神经血管的影响
- 批准号:
9762529 - 财政年份:2019
- 资助金额:
$ 47.74万 - 项目类别:
Longitudinal multimodal mapping to decipher the neurovascular impact of microinfarcts
纵向多模态映射破译微梗塞对神经血管的影响
- 批准号:
10542275 - 财政年份:2019
- 资助金额:
$ 47.74万 - 项目类别:
Longitudinal multimodal mapping to decipher the neurovascular impact of microinfarcts
纵向多模态映射破译微梗塞对神经血管的影响
- 批准号:
10786315 - 财政年份:2019
- 资助金额:
$ 47.74万 - 项目类别:
Longitudinal multimodal mapping to decipher the neurovascular impact of microinfarcts
纵向多模态映射破译微梗塞对神经血管的影响
- 批准号:
10162677 - 财政年份:2019
- 资助金额:
$ 47.74万 - 项目类别:
Longitudinal multimodal mapping to decipher the neurovascular impact of microinfarcts
纵向多模态映射破译微梗塞对神经血管的影响
- 批准号:
10317128 - 财政年份:2019
- 资助金额:
$ 47.74万 - 项目类别:
Nanoelectronic enabled chronic quantification of neurovascular coupling
纳米电子技术实现了神经血管耦合的长期定量
- 批准号:
10322174 - 财政年份:2018
- 资助金额:
$ 47.74万 - 项目类别:
Nanoelectronic enabled chronic quantification of neurovascular coupling
纳米电子技术实现了神经血管耦合的长期定量
- 批准号:
10115788 - 财政年份:2018
- 资助金额:
$ 47.74万 - 项目类别:














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