Characterizing sensorimotor gaiting dysfunction in mouse models of schizophrenia
Characterizing sensorimotor gaiting dysfunction in mouse models of schizophrenia
批准号:
8701406
负责人:
Kafui Dzirasa
金额:
$19.63万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-07-15 至 2016-06-30
关键词:
Amygdaloid structureAreaAuditory Evoked PotentialsBehavioralBiologicalBiological Neural NetworksBrainComplexCorpus striatum structureDataDecision MakingDevelopmentDiseaseDopamineEmotionalFunctional disorderGenesGeneticGlutamatesGoalsHallucinogensHumanImplantInterneuronsInterventionMeasuresMediatingMicroelectrodesMidbrain structureModelingMusNeuronsOutcomePatientsPhencyclidinePhysiologic pulsePlayPredispositionPrefrontal CortexProcessRelative (related person)ResearchRiskRodentRoleSchizophreniaSignal TransductionStimulusTechniquesTestingThalamic structureVariantVentral Tegmental AreaWorkbaseendophenotypein vivoinsightmouse modelneural circuitneurophysiologyneuropsychiatrynovelpre-clinicalprepulse inhibitionpublic health relevancerepairedresponserisk variantsensory gating
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Multiple studies have identified sensorimotor gating deficits in patients with schizophrenia, their first degree "unaffected" relatives, and in pharmacological and genetic mouse models of schizophrenia. These deficits in sensorimotor gating may serve as a hallmark endophenotype of the disorder. Here we propose to directly quantify the neurophysiological mechanisms that correspond with sensory gating in mice by implanting arrays of microelectrodes across 7 distinct brain areas comprising mesolimbic, mesocortical, and cortical-striatal-thalamic microcircuits and performing neurophysiological recordings as mice perform a classic sensorimotor gating task. We will then quantify the effect of the psychotomimetic agent PCP and the schizophrenia risk gene DISC1 on these circuit mechanisms. We believe that the insights derived from the current proposal into the distributed circuits that underlie normal sensorimotor gating, and the mechanisms whereby genetic and pharmacological manipulations disrupt these circuits, will provide a detailed network-level understanding of the neurophysiological alterations that may contribute to schizophrenia.
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