grant

Exploration of MRI measures of neurodegeneration within individuals over short intervals

Organization HARVARD UNIVERSITYLocation CAMBRIDGE, UNITED STATESPosted 15 Apr 2020Deadline 31 Mar 2027
NIHUS FederalResearch GrantFY2024AD dementiaAccelerationAchievementAchievement AttainmentAffectAgeAgingAlzheimer Type DementiaAlzheimer beta-ProteinAlzheimer disease dementiaAlzheimer sclerosisAlzheimer syndromeAlzheimer'sAlzheimer's Amyloid beta-ProteinAlzheimer's DiseaseAlzheimer's amyloidAlzheimers DementiaAmentiaAmericanAmmon HornAmyloid Alzheimer's Dementia Amyloid ProteinAmyloid Beta-PeptideAmyloid Protein A4Amyloid beta-ProteinAmyloid βAmyloid β-PeptideAmyloid β-ProteinAnatomic SitesAnatomic structuresAnatomyAtrophicAtrophyBase SequenceBiological MarkersBrainBrain Nervous SystemBrain imagingBrain regionBrain scanClinicClinicalClinical TrialsClinical assessmentsCognitive DisturbanceCognitive ImpairmentCognitive declineCognitive function abnormalCornu AmmonisDataDementiaDevelopmentDiagnosisDiseaseDisorderDisturbance in cognitionEarly identificationEncephalonEventFocus GroupsGoalsHeadHippocampusHumanImaging ProceduresImaging TechnicsImaging TechniquesImpaired cognitionIndividualJointsMR ImagingMR TomographyMRIMRI ScansMRIsMT-bound tauMachine LearningMagnetic Resonance ImagingMagnetic Resonance Imaging ScanMaritally UnattachedMeasurementMeasuresMedical Imaging, Magnetic Resonance / Nuclear Magnetic ResonanceMedical ResearchMemory DeficitMemory impairmentMesulam SyndromeMethodologyModelingModern ManMonitorNMR ImagingNMR TomographyNerve DegenerationNeuron DegenerationNeurosciences ResearchNuclear Magnetic Resonance ImagingNucleotide SequencePathologyPatternPersonsPhasePositionPositioning AttributePrimary Progressive AphasiaPrimary Senile Degenerative DementiaProbabilistic ModelsProbability ModelsProceduresProgressive AphasiasProtocolProtocols documentationProxyResearchResolutionSafetySamplingScanningSemanticsSingle PersonStatistical ModelsStreamStructureTechniquesTestingTherapeutic EffectThickThicknessTimeUnmarried personVariantVariationWorkZeugmatographya beta peptideabetaagesaging associatedaging relatedamnestic mild cognitive impairmentamyloid betaamyloid-b proteinbeta amyloid fibrilbio-markersbiologic markerbiomarkerbrain atrophybrain visualizationbrain volumecerebral atrophyclinical translationclinically translatablecognitive changecognitive dysfunctioncognitive losscortical atrophydevelopmentalhippocampalhippocampal atrophyhippocampal atropyimage constructionimage generationimage reconstructionimaging approachimaging based approachmachine based learningmemory dysfunctionmicrotubule bound taumicrotubule-bound taumorphometrynatural agingneural degenerationneural imagingneuro-imagingneurodegenerationneurodegenerativeneuroimagingneurological degenerationneurological imagingneuronal degenerationnormal agingnormative agingnovelnucleic acid sequencepre-clinicalpreclinicalprimary degenerative dementiarate of changeresolutionsresponse to therapyresponse to treatmentsafety testingsecondary analysissenile dementia of the Alzheimer typesoluble amyloid precursor proteinstatistical linear mixed modelsstatistical linear modelsstructural imagingtautau Proteinstau factortherapeutic agent developmenttherapeutic developmenttherapeutic responsetherapy responsetime intervaltooltreatment responsetreatment responsivenessτ Proteins
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Full Description

PROJECT ABSTRACT/SUMMARY
Alzheimer's disease and other forms of dementia affect over five million Americans. Alzheimer's disease

begins with changes in the brain more than a decade before the disease can be diagnosed from memory and

cognitive impairment in a clinic. The goal of this work is to provide a way to measure early signs of

neurodegeneration in individual people. The historical barrier to measure change in individuals is that each

person's brain is different with change accumulating too slowly to be picked over short intervals. As a result,

most research focuses on tracking averaged subject groups or tracking change over multiple years. The

present work optimizes new brain imaging techniques using MRI to make extremely fast, highly precise

repeated measurements of brain regions all within the same individual. The work then seeks to use the novel

imaging approach to measure neurodegeneration in individuals with early stages of Alzheimer's disease in six

months or less and also differentiate changes in people with Alzheimer's disease from less common forms of

dementia that have distinct anatomical changes in the brain. If successful, the present work will provide a new

means to track the early stages of neurodegeneration as would be used in clinical trials and translational

medical research.

Grant Number: 5R01AG067420-05
NIH Institute/Center: NIH

Principal Investigator: RANDY BUCKNER

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