Identifying Associations between Brain Iron, Neurocognitive Networks and Protective Factors
Identifying Associations between Brain Iron, Neurocognitive Networks and Protective Factors
批准号:
10579909
负责人:
BRIAN Timothy GOLD
金额:
$53.27万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-05-01 至 2026-02-28
关键词:
AffectAlzheimer&aposs DiseaseAlzheimer&aposs disease pathologyAlzheimer&aposs disease riskAlzheimer’s disease biomarkerAmericanAmyloid beta-ProteinAntioxidantsAttenuatedBiological MarkersBrainCerebrospinal FluidCerebrumClinicalCognitionCognitiveCognitive agingCompensationDietDiffusion Magnetic Resonance ImagingDisease ProgressionEarly DiagnosisEarly InterventionEarly identificationElderlyEpisodic memoryFunctional Magnetic Resonance ImagingGoalsHealthImageImpaired cognitionIndividualIntakeIronLinear RegressionsLiquid substanceMRI ScansMagnetic Resonance ImagingMaintenanceMapsMeasuresMediatingMemoryMemory LossModelingNeurocognitiveNeurocognitive DeficitNeuropsychologyParticipantPathologicPathologyPatternPerformancePlasmaPositron-Emission TomographyPredispositionRegression AnalysisSamplingScanningShort-Term MemorySignal TransductionSystemTestingTimeage relatedbasebehavior measurementblood-brain barrier crossingbrain basedcognitive functioncognitive processcognitive reservefunctional plasticitygood dietimprovedin vivoindexinginflammatory markerlifestyle factorsneuralneuroimagingneuroimaging markernovelnovel markerpre-clinicalprotective factorssupport networktau Proteinstau-1white matter
中文摘要
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英文摘要
Identifying Associations between Brain Iron, Neurocognitive Networks and
Protective Factors
Alzheimer’s disease (AD) involves accumulation of pathological levels of amyloid-beta (Aβ)
and phospho-tau proteins. However, a significant proportion of individuals with AD pathology
do not have clinical AD, indicating contributions of other factors. Novel in-vivo measures are
required to track other factors contributing to AD-related cognitive declines. Increasing
evidence suggests that age-related accumulation of brain iron and its correlates contribute to
the manifestation of memory declines. Our recent neuroimaging results suggest that high
brain iron concentration, measured with in vivo quantitative susceptibility mapping (QSM), is
associated poor connectivity within brain memory networks. This proposal seeks to identify
associations between QSM-based iron concentration and neurocognitive changes toward a
goal of improving AD biomarkers. We will also define the interplay between QSM-based iron
signal, AD pathology, inflammatory markers on cognitive declines. Finally, we will test the
possibility that brain iron accumulation may be slowed by an antioxidant rich diet. We
propose to study 140 healthy older adults using neuroimaging measures including fMRI and
QSM, measures of CSF and plasma Aβ, p-tau and t-tau and inflammatory markers.
Additional structural neuroimaging measures will include regional volumes, FLAIR imaging
for quantification of WMH volumes and diffusion tensor imaging for quantification of
regionally distributed white matter connectivity. A subset of participants will be complete the
same CSF and imaging measures approximately 3 years later. We aim to identify (1) effects
of QSM-based iron signal on functional and structural brain networks supporting cognition;
(2) associations between brain iron, inflammatory markers, AD pathology and cognitive
declines and; (3) modifiers of brain iron or its effects on cognition. We will test hypotheses
that high QSM-based brain iron is associated with low connectivity in memory circuits
independently of AD pathology but may and synergistically interacts with AD over time. We
will also test the hypothesis that reserve factors will offset the effects of brain iron on
cognitive functions via mechanisms of brain maintenance or plastic functional brain
reorganization of large-scale brain functional networks in some older adults.
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科研奖励(0)
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