Genetic-assisted, full brain scale integrated activity mapping with MRI
Genetic-assisted, full brain scale integrated activity mapping with MRI
批准号:
9922415
负责人:
MAZAHIR T. HASAN
金额:
$32.24万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-06-01 至 2023-05-31
关键词:
Animal Disease ModelsAnimalsApplications GrantsBehaviorBiological ProcessBrainBrain MappingBrain regionCellsChemicalsCognitionContrast MediaDecision MakingDetectionDiseaseFerritinGeneticGoalsHippocampus (Brain)IronLabelLearningMagnetic Resonance ImagingMagnetismMammalian CellMammalsMapsMental disordersMethodsMonitorMotorNeuronsNeurosciencesNoiseNon-Invasive Cancer DetectionOnset of illnessPathologyPerceptionProcessPumpRattusRecoveryRelaxationResearch ProposalsResolutionSensorySignal TransductionSliceStructureSystemTFRC geneTechnologyTherapeuticTherapeutic InterventionTimeTransgenic AnimalsTransgenic MiceValidationViral VectorVirusbrain cellbrain tissuecombinatorialexperiencein vivoiron supplementmemory consolidationmemory processmemory retrievalnervous system disordernovelrecruitresponse
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PROJECT SUMMARY
To understand the cellular basis of cognition, behavior and pathology, it is necessary to map the different
participating brain regions and circuits that participate during the different biological processes and do so I the
same animals. I propose to reach this goal by establishing a novel genetic method for full brain scale recording
of integrated cellular activity in living mammals. The aim of my research proposal is to apply a novel Genetic
Activity-induced Tagging of cell Ensembles (GATE) to express Genetically Encoded Magnetic Indicators
(GEMIs) for full brain scale integrated activity mapping by magnetic resonance Imaging (MRI). We will screen
different GEMIs and their combinations for high-resolution mapping of brain activity with high signal-to-noise
ratio, first in brain slices and then in vivo, both using viruses and transgenic mice. The successful implementation
of this method would make a transformational impact on systems neuroscience as it would allow mapping of
activated brain circuits in learning and memory consolidation and retrieval processes in the same animals.
Importantly, the proposed method would help to reveal the brain activity maps in the different psychiatric and
neurological disease and also track changes in brain maps after therapeutic interventions, again in the same
animals.
We will perform 2 Specific Aims:
Specific Aim 1– A combinatorial screen to identify an optimal vGATE-GEMI(s) for integrated activity
mapping by MRI in cultured rat brain slices.
1A– Viral vectors with vGATE-GEMIs and expression analyses.
1B– Chemically-induced vGATE-GEMI assisted integrated activity mapping by MRI.
2C– Correlate GEMI expression and number of labeled cells to MRI signal detection.
Specific Aim 2– In vivo validation of GEMI by vGATE-assisted integrated activity mapping by MRI.
2A– Chemically-induced and sensory experience evoked MRI activity maps.
2B– Transgenic mice for integrated full brain scale activity mapping by MRI.
2C– Correlate GEMI expression and number of labelled cells for MRI signal detection.
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