grant
CRCNS: A computational approach to map visual cortex organization in the human brain
Organization UNIVERSITY OF WASHINGTONLocation SEATTLE, UNITED STATESPosted 1 Sept 2021Deadline 31 May 2029
NIHUS FederalResearch GrantFY2025Anatomic SitesAnatomic structuresAnatomyAnisotropyAreaBody TissuesBody partBrainBrain Nervous SystemBrain regionCategoriesCerebral cortexClinicalClutteringsComputing MethodologiesDWI (diffusion weighted imaging)DWI-MRIDataData SetDevelopmentDiffusionDiffusion MRIDiffusion Magnetic Resonance ImagingDiffusion Weighted MRIDiffusion weighted imagingDiffusion-weighted Magnetic Resonance ImagingDorsalEncephalonFaceFiberFunctional MRIFunctional Magnetic Resonance ImagingHealthHeritabilityHumanIndividualInvestigatorsKnowledgeLabelLeftLinkMR ImagingMR TomographyMRIMRIsMachine LearningMagnetic Resonance ImagingManualsMapsMeasuresMedical Imaging, Magnetic Resonance / Nuclear Magnetic ResonanceMethodsModelingModern ManNMR ImagingNMR TomographyNeurosciences ResearchNuclear Magnetic Resonance ImagingOptic TractsOptic tract structureOrganizational ModelsPathway interactionsPatternPerformancePersonsPopulationPrimary visual cortexProbabilistic ModelsProbability ModelsPropertyResearch AssistantResearch PersonnelResearchersScientistSightStatistical ModelsStreamStriate CortexStriate areaStructural ModelsSurfaceTemporal LobeTestingThickThicknessTissuesTrainingTranslational ResearchTranslational ScienceVisionVision DisordersVisualVisual CortexVisual DisorderVisual SystemZeugmatographyarea striataclinical carecohortcomputational methodologycomputational methodscomputer based methodcomputer methodscomputing methoddMRIdevelopmentaldiffuseddiffusesdiffusingdiffusion tensor imagingdiffusionsempowermentexplainable AIexplainable artificial intelligenceextrastriate areaextrastriate cortexextrastriate visual cortexfMRIfacesfacialgray matterhuman subjectindividual heterogeneityindividual variabilityindividual variationinterpretable AIinterpretable artificial intelligencelife spanlifespanmachine based learningmachine learned algorithmmachine learning algorithmmachine learning based algorithmmachine learning based modelmachine learning modelmyelinationneuralpathwayretinotopic mapstatistical linear mixed modelsstatistical linear modelssubstantia albasubstantia griseasupervised learningsupervised machine learningtemporal cortextooltractographytranslation researchtranslational investigationvisual areavisual corticalvisual field mapvisual functionvisual mapvisual neurosciencewhite matter
Description preview
PROJECT SUMMARY
About a quarter of the human cerebral cortex is visual, with dozens of retinotopic maps and
category selective regions. Localizing these areas is crucial to much of human visual
neuroscience research and to clinical care. Area localization, such as delineating the boundaries
of primary visual cortex, is a necessary step in studies…
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