grant
Multivariate methods for identifying multitask/multimodal brain imaging biomarkers
Organization GEORGIA STATE UNIVERSITYLocation ATLANTA, UNITED STATESPosted 1 Apr 2007Deadline 30 Apr 2029
NIHUS FederalResearch GrantFY2025AlgorithmsAttentionBiologicalBiological MarkersBiologyBipolar Affective PsychosisBipolar DisorderBlood flowBrainBrain DiseasesBrain DisordersBrain Nervous SystemBrain imagingClassificationClinicalCommunitiesComplexComputer softwareCorrelation StudiesDWI (diffusion weighted imaging)DWI-MRIDataData BasesData SetDatabasesDiagnosisDiffusionDiffusion MRIDiffusion Magnetic Resonance ImagingDiffusion Weighted MRIDiffusion weighted imagingDiffusion-weighted Magnetic Resonance ImagingDimensionsDiseaseDisorderDocumentationDrugsEEGEcologic SystemsEcological SystemsEcosystemElectroencephalogramElectroencephalographyEncephalonEncephalon DiseasesEvaluationFamilyFunctional MRIFunctional Magnetic Resonance ImagingFundingGoalsHolographyImaging technologyIntracranial CNS DisordersIntracranial Central Nervous System DisordersInvestigatorsJointsLinkManic-Depressive PsychosisMeasurableMeasuresMedicationMental DepressionMental disordersMental health disordersMentally IllMentally Ill PersonsMethodsModalityModelingMoodsMultimodal ImagingNeurobiologyOutputPatientsPatternPharmaceutical PreparationsPhaseProcessPsychiatric DiseasePsychiatric DisorderPsychosesPythonsReportingResearchResearch PersonnelResearchersRestSample SizeSamplingSchizophreniaSchizophrenic DisordersSoftwareSourceStatistical CorrelationStructureSymptomsSystematicsTestingTrainingUnipolar DepressionValidationVisualizationWorkbig imaging databio-markersbiologicbiologic markerbiomarkerbipolar affective disorderbipolar diseasebipolar illnessbipolar mood disorderblindbrain visualizationclinical careclinical phenotypedMRIdata basedata fusiondata reductiondeep learningdeep learning based modeldeep learning methoddeep learning modeldeep learning strategydementia praecoxdepositorydepressiondesigndesigningdiffuseddiffusesdiffusingdiffusion tensor imagingdiffusionsdrug/agentfMRIfMRI/EEGfeature extractionfunctional magnetic resonance imaging/electroencephalographygenerative modelsgray matterhigh dimensionalityimage-based methodimaging biomarkerimaging markerimaging methodimaging modalityimaging-based biological markerimaging-based biomarkerimaging-based markerimprovedinsightlarge data setslarge datasetslarge imaging datalarge-scale imaging datamanic depressive disordermanic depressive illnessmental illnessmodel-based simulationmodels and simulationmulti-modal datamulti-modal datasetsmulti-modal imagingmulti-modalitymulti-modality imagingmulti-taskmultimodal datamultimodal data fusionmultimodal datasetsmultimodal fusionmultimodalitymultimodality imagingmultiple data setsmultiple datasetsmultitaskneurobiologicalneuropsychiatric diseaseneuropsychiatric disordernew approachesnext generationnovelnovel approachesnovel strategiesnovel strategyopen sourceopen source toolopen source toolkitpatient subclasspatient subclusterpatient subgroupspatient subpopulationspatient subsetspatient subtypespotential biological markerpotential biomarkerpsychiatric illnesspsychological disorderrepositoryschizophrenicsimulationspatial and temporalspatial temporalspatiotemporalsubstantia albasubstantia griseatooltranslational impactuser-friendlyvalidationswhite matter
Description preview
Project Summary/Abstract
The brain is extremely complex, as we know, and involves a complicated interplay between functional infor-
mation interacting with a structural (but not static) substrate. Brain imaging technology provides a way to sample
various aspects of the brain albeit incompletely, providing a rich set of multitask and multimodal…
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