Defining cell types that control action selection and execution
定义控制动作选择和执行的单元类型
基本信息
- 批准号:10406120
- 负责人:
- 金额:$ 3.51万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-09-15 至 2023-01-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAnatomyAnimalsAxonBar CodesBasal GangliaBehaviorBehavior ControlBehavior monitoringBehavioralBrainCalciumCell NucleusDataEtiologyFutureGene ExpressionGeneticGenetic IdentityGenetic TranscriptionGlobus PallidusHuntington DiseaseImageImpairmentIon ChannelKnowledgeLabelLateralLeadLogicMediatingModelingModernizationMolecularMonitorMorphologyNeuronsNeurosciencesNeurotransmitter ReceptorOutputParkinson DiseasePathway interactionsPerformancePharmacologyPhasePhysiologicalPortraitsPropertyRNAReportingRouteSchizophreniaShapesSignal TransductionSpeedStructureSubstantia nigra structureTestingTextbooksTranslatingaddictionbasecell typeinhibitory neuronmolecular markernovelnovel strategiesparent grantpredictive modelingreceptor expressionrelating to nervous systemselective expressionsingle cell sequencingsingle-cell RNA sequencingsuperior colliculus Corpora quadrigeminatooltwo-photon
项目摘要
PROJECT SUMMARY/ABSTRACT
A fundamental task of the brain is to choose what to do next, and an impaired ability to select appropriate
behaviors and repress inappropriate actions is thought to underlie conditions including schizophrenia,
addiction, and Huntington's disease. How the brain weighs available actions to choose and execute the most
adaptive is not understood. In the canonical model, effector structures such as the superior colliculus (SC) are
constantly poised to generate behaviors, but are repressed by tonically active GABAergic neurons of the basal
ganglia (BG) output nuclei substantia nigra pars reticulata (SNr) and internal globus pallidus; before an action,
the specific subset of BG output neurons inhibiting that action pause firing to “release” its effector pathway.
However, several studies have revealed that SNr harbors multiple GABAergic inhibitory cell types of which
some are only phasically active, and both tonic and phasic inhibitory SNr neurons can converge on the same
target neurons in structures such as SC. These cell types are intermingled in SNr, which has hindered efforts
to apply the genetic tools of modern neuroscience to decipher how their convergent phasic and tonic inhibitory
signals influence downstream neural processing to control behavioral choice and execution. To surmount this
obstacle, my lab has developed approaches to selectively express genetic tools in either phasic or tonic SNr
neurons. Here I propose to apply our approach to reveal how phasic and tonic inhibitory BG subtypes
coordinate behavior. First, we will test the hypothesis that phasic SNr neurons encode both behavioral choice
and execution by recording their activity during behavior. Second, we will test the hypothesis that phasic
inhibitory neurons shape both choice and execution of the chosen behavior using targeted manipulations.
Third, to understand the transcriptional basis of physiologic differences between these phasic and tonic types,
we will define the genetic identities of both using a novel barcoding approach in single-cell sequencing.
Collectively, these studies will provide a comprehensive portrait of how phasic and tonic inhibitory BG cell
types coordinate behavioral choice and execution. The findings from these studies may help us to understand
the etiology of and lead to new treatments for conditions including addiction, schizophrenia, Parkinson's, and
Huntington's disease.
项目总结/文摘
项目成果
期刊论文数量(0)
专著数量(0)
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会议论文数量(0)
专利数量(0)
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Evan Harriman Feinberg其他文献
Evan Harriman Feinberg的其他文献
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{{ truncateString('Evan Harriman Feinberg', 18)}}的其他基金
Defining cell types that control action selection and execution
定义控制动作选择和执行的单元类型
- 批准号:
10569108 - 财政年份:2019
- 资助金额:
$ 3.51万 - 项目类别:
Defining cell types that control action selection and execution
定义控制动作选择和执行的单元类型
- 批准号:
10337273 - 财政年份:2019
- 资助金额:
$ 3.51万 - 项目类别:
Defining cell types that control action selection and execution
定义控制动作选择和执行的单元类型
- 批准号:
10562269 - 财政年份:2019
- 资助金额:
$ 3.51万 - 项目类别:
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