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Neural Oscillatory Biomarkers for Genetics and Animal Models of Schizophrenia

Neural Oscillatory Biomarkers for Genetics and Animal Models of Schizophrenia
精神分裂症遗传学和动物模型的神经振荡生物标志物
批准号:
8102707
负责人:
L Elliot Elliot Hong
金额:
$54.76万
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:
2010-07-01 至 2014-03-31
关键词:
AcuteAddressAgonistAnatomyAnimal ModelAnimalsAntipsychotic AgentsAuditoryAuditory Evoked PotentialsBehavioral SciencesBiological MarkersBrainCandidate Disease GeneCellsChronicClinicalClinical ResearchCognitiveComplexComputer SimulationDataData AnalysesDimensionsDiseaseDoseDrug FormulationsElectroencephalographyEventEvoked PotentialsExcitatory Postsynaptic PotentialsExhibitsFamily memberFirst Degree RelativeFrequenciesFunctional disorderGABA AgentsGABA AgonistsGenesGeneticGenotypeGlossaryGlutamate DecarboxylaseGlutamatergic AgentsGlutamatesHigh Frequency OscillationHippocampus (Brain)HumanImpaired cognitionInvestigationKetamineLaboratory AnimalsLeadLocationMeasurableMeasuresMethodologyMethodsMicrodialysisModelingMolecularMolecular TargetMutationN-Methyl-D-Aspartate ReceptorsN-MethylaspartateNeuronsNeurosciencesNucleus AccumbensPathologyPatientsPatternPerformancePersonalityPharmaceutical PreparationsPhenotypePopulationPrefrontal CortexProcessPsychotic DisordersQuantitative Trait LociRattusRelative (related person)ResearchResearch Project GrantsRestRetrievalRiskRodentRodent ModelRoleSamplingScalp structureSchizophreniaSensorySensory ProcessSeriesSeveritiesShort-Term MemorySignal TransductionStagingSystemTestingTimeTranslational ResearchTranslationsauditory stimulusawakebasebrain electrical activityclinical phenotypecognitive functiondensitydesigndisabilitydisease phenotypedrug developmentendophenotypeexecutive functionfollow-upfunctional disabilitygamma-Aminobutyric Acidneurogenesisnovelpostsynapticpre-clinicalpublic health relevancereceptorrelating to nervous systemresearch studyresponsesensory gatingsevere mental illnesssimulationsoundtoolvisual stimulus

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中文摘要
翻译
项目简介:神经振荡是在不同频率下可测量的脑电活动。它们可以在许多层面上获得,从动物的单细胞到局部场电位,再到人类头皮的大规模同步活动。精神分裂症患者在感觉和认知任务中表现出神经振荡活动受损,如感觉门控、工作记忆、执行功能,甚至在休息和处理单调的视觉和听觉刺激时。新的证据表明,与精神分裂症相关的认知和功能障碍相关的振荡活动可能存在共同的潜在异常。我们已经修改和发展了实验范式,将引起振荡反应从基本的感官到更复杂的认知表现。我们计划分离精神分裂症中常见的跨任务振荡异常。此外,由于神经振荡可以以类似的方式在动物和人类中测量,因此可以使用类似的神经振荡测量作为疾病生物标志物进行平行的动物和人类研究。为了实现这一目标,这些电生理范式的构建方式可能在临床群体表型和小动物实施中都是可行的,因此,通过本研究在精神分裂症患者中验证的神经振荡生物标志物,以及随后从这些神经振荡表型中获得的遗传发现,可以应用于动物的转化研究。利用整合行为科学机制的构建转化研究,我们建议在啮齿动物中启动类似的范式。该应用程序的基本神经科学组成部分是使用与人类实验密切匹配的实验范式建立类似的啮齿动物模型,然后对精神分裂症患者中发现的异常神经振荡的病理生理起源进行初步的机制研究。这项工作将为解释临床发现奠定必要的基础,并最终将神经振荡作为研究精神分裂症从基因到病理生理及其治疗的分子途径的翻译工具。神经振荡的神经发生是目前研究的热点。然而,需要系统地研究它们在精神分裂症人群中作为疾病表型的作用。由此描述和验证的潜在的新型生物标志物将显著缩短从生物标志物发现到基因鉴定和动物模型新药开发的研究周期。
英文摘要
DESCRIPTION (provided by applicant): Neural Oscillatory Biomarkers for Genetics and Animal Models of Schizophrenia Project Summary: Neural oscillations are electrical activities of the brain measurable at different frequencies. They can be obtained at many levels, ranging from single cell to local field potentials in animals, to large-scale synchronized activities in human scalp. Patients with schizophrenia exhibit impaired neural oscillatory activities during sensory and cognitive tasks such as sensory gating, working memory, executive functions, and even at rest and during processing of monotonous visual and auditory stimuli. New evidence suggests that there may be common underlying abnormalities in oscillatory activities that are associated with schizophrenia-related cognitive and functional impairments. We have modified and developed experimental paradigms that will elicit oscillatory responses from basic sensory to more complex cognitive performance. We plan to isolate the common oscillatory abnormality in schizophrenia across tasks. In addition, since neural oscillations can be measured in animals and in humans in a similar fashion, it is possible to carry out parallel animal and human research using similar neural oscillatory measures as disease biomarkers. Towards this aim, these electrophysiological paradigms are constructed in a way that they are potentially feasible both in clinical population phenotyping and in small animal implementation, so that neural oscillatory biomarkers validated by this study in schizophrenia patients, and subsequent genetic findings from these neural oscillation phenotypes, can be applied to translational research in animals. Using the Building Translational Research in Integrative Behavioral Science mechanism, we propose to initiate similar paradigms in rodents. The basic neuroscience component of this application is to establish analogous rodent models using experimental paradigm closely matched with that of the human experiments, and then to conduct initial mechanistic studies on the pathophysiological origins of the abnormal neural oscillations found in patients with schizophrenia. This effort should lay the necessary groundwork for interpreting clinical findings and ultimately using neural oscillations as a translational tool in studying the molecular path from genes to pathophysiology and their treatment in schizophrenia. The neurogenesis of neural oscillations is under intense study. However, systematic investigations of their roles as disease phenotypes in schizophrenia populations are needed. The potentially novel biomarkers thus described and validated should significantly shorten the research cycle from biomarker discovery to gene identification and novel drug development in animal models. PUBLIC HEALTH RELEVANCE: Schizophrenia is one of the most severe mental illnesses and causes significant disability in people suffered from it. This study will use brain electrical waves as potential biomarkers for identifying the pathophysiological and molecular causes for schizophrenia and related dysfunctions, which should lead to finding more specific and better treatment.
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  • 项目类别:
  • 资助金额:
    $310.87万
  • 财政年份:
    2020
  • 负责人:
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  • 依托单位:
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  • 项目类别:
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  • 依托单位:
Towards Multisystem-Brain Successful Aging in Schizophrenia Spectrum
  • 批准号:
    10392882
  • 项目类别:
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  • 财政年份:
    2018
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  • 依托单位:
Towards Multisystem-Brain Successful Aging in Schizophrenia Spectrum
  • 批准号:
    9922360
  • 项目类别:
  • 资助金额:
    $72.55万
  • 财政年份:
    2018
  • 负责人:
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  • 依托单位:
海外基金