High Resolution Neuroimaging Biomarkers for Preclinical Alzheimer's Disease
High Resolution Neuroimaging Biomarkers for Preclinical Alzheimer's Disease
批准号:
9053428
负责人:
Michael A Yassa
金额:
$18.67万
依托单位国家:
美国
项目类别:
财政年份:
--
资助国家:
美国
项目状态:
未结题
起止时间:
至
关键词:
AdultAgeAge-YearsAged, 80 and overAlzheimer&aposs DiseaseAmericanAmyloid beta-ProteinArchivesBehavioralBiological AssayBiological MarkersBiomedical ResearchBlood VesselsBrainCaliforniaCerebrospinal FluidClinical DataClinical TreatmentCognitionCognitiveCollaborationsDataData AnalysesDatabasesDiffusion Magnetic Resonance ImagingDown SyndromeEarly DiagnosisEarly InterventionElderlyEnrollmentFunctional Magnetic Resonance ImagingFutureGeneticGoalsHippocampus (Brain)ImageImaging DeviceImaging TechniquesImpaired cognitionIndividualLeadershipMagnetic Resonance ImagingMeasuresMemoryModelingNeuropsychological TestsParticipantPathologyPatientsPatternPerforant PathwayPerformancePositron-Emission TomographyPredispositionPrevention trialProcessRecruitment ActivityReportingResearchResearch InfrastructureResearch PersonnelResistanceResolutionRestRiskSample SizeSerumSerum MarkersStagingSystemTaxesTechniquesTestingThickUnited States National Institutes of HealthUniversitiesbasebiomarker evaluationcandidate markercognitive changecognitive testingcohortdata acquisitionentorhinal corteximaging biomarkerimprovedinnovationneuroimagingneuropsychologicalnovelnovel markerpre-clinicalquality assurancerelating to nervous systemtau Proteinstreatment trialuptake
中文摘要
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英文摘要
Project 1: High-Resolution Neuroimaging Biomarkers for Preclinical Alzheimer's Disease (Yassa)
Project Summary
Over five million Americans have Alzheimer's disease (AD) today. A critical goal of biomedical research is
establishing indicators of AD during the preclinical stage (i.e. biomarkers) allowing for early diagnosis and
intervention. Currently, the relationship between A� pathology and neuroimaging/cognitive measures during
the preclinical stage is not well understood. Our project combines novel high-resolution magnetic resonance
imaging (MRI) tools, novel cognitive testing particularly sensitive to hippocampal memory, and assessments of
beta-amyloid (A�) pathology in cerebrospinal fluid (CSF) or florbetapir (18F) PET scans to gain a better
understanding of the neural basis of preclinical AD and to identify novel mechanistic biomarkers for preclinical
AD using non-invasive techniques. The goals of the project are to (1) improve our ability to detect subtle
cognitive decline, (2) enhance the sensitivity of standard neuroimaging biomarkers for preclinical AD as well as
develop and validate novel biomarkers using ultrahigh-resolution neuroimaging techniques, (3) test the validity
of biomarker candidates in two special cohorts as models of early susceptibility (Down syndrome DS) and
late resistance (nondemented 90+), and (4) deliver a proof of concept high-resolution multimodal neuroimaging
platform for the ADRC to build the infrastructure necessary for establishing a high-resolution neuroimaging
core. We will recruit and test a total of 90 participants: (a) Longitudinal cohort: 30 healthy nondemented
participants (15 A�+ and 15 A�-) and 15 A�+ amnestic MCI participants between the ages of 65 and 85; (b)
Down syndrome cohort: 15 A�+ nondemented individuals between the ages of 45 and 65; (c) 90+ cohort: 30
nondemented 90+ participants (15 A�+ and 15 A�-). A� status will be determined for longitudinal cohort via
CSF (through ADRC Path Core) and for DS/90+ via florbetapir PET (through synergistic NIH R01's by Dr.
Kawas and Dr. Lott). In Aim 1, we will use a set of newly developed cognitive tests of pattern separation.
These tests vary mnemonic interference in the object, spatial and temporal domains. In Aim 2, we will collect
high resolution structural MRI (0.55 mm isotropic), resting state fMRI (1.5 mm isotropic) and DTI (0.66 mm in-
plane) to test hypotheses about changes in neural features related to pathological status (e.g. entorhinal
cortical thickness, perforant path integrity, resting state connectivity between the entorhinal cortex and the
hippocampus). In Aim 3, we will apply the techniques in Aims 1 and 2 to Down syndrome and 90+ participants
to explore resistance and vulnerability to pathology in this brain network. In Aim 4, we will examine
relationships between our biomarkers and pre-existing measures in the ADRC database such as genetics,
blood/serum markers, and other CSF pathologies (e.g. phospho-tau). In Aim 5, we will build the infrastructure
to archive and curate all new imaging data for dissemination to ADRC investigators to provide a proof of
concept for a future neuroimaging core at the ADRC. Together, the Aims of this project will allow us to better
understand the condition of preclinical AD and develop biomarkers that can be used in future prevention trials.
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