Imaging of Cognition, Learning and Memory in Aging
Imaging of Cognition, Learning and Memory in Aging
批准号:
8723713
负责人:
YAAKOV STERN
金额:
$71.23万
依托单位国家:
美国
项目类别:
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-09-15 至 2016-05-31
关键词:
AgeAgingAlzheimer&aposs DiseaseAmyloidAmyloid depositionAttenuatedBrainBrain PathologyCerebrovascular CirculationClinicalClinical PathologyCognitionCognitiveCore-Binding FactorDataDementiaEducationElderlyFunctional Magnetic Resonance ImagingGrantImageImpaired cognitionIndividualIndividual DifferencesLeadLearningLettersMagnetic Resonance ImagingMeasuresMediatingMemoryOutcomeParticipantPathologyPatternPerformancePositron-Emission TomographyProbabilityProcessProxyRecruitment ActivityResearchRestRiskShort-Term MemorySystemTask PerformancesThickTimeWhite Matter HyperintensityWorkage effectage relatedage related cognitive changebrain volumecerebral atrophycognitive functioncognitive reserveexecutive functionmild cognitive impairmentneural patterningneuromechanismpreventrelating to nervous systemresponsewhite matter
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): The proposed research is aimed at better understanding the neural underpinnings of cognitive reserve (CR). We have postulated that CR mediates the relationship between age- or Alzheimer's disease (AD)-related brain pathology and the clinical impact of that pathology. Our working hypothesis has been that CR operates through individual differences in how tasks are processed in the brain and that we can use fMRI-measured task-related activation to understand these processing differences. In both young and old, we have indentified individual differences in the efficiency and capacity of brain networks elicited by task performance, and have noted that these individual differences are often related to measured CR. We have also identified situations where older adults use different compensatory neural patterns. We now propose to assess how these possible neural implementations of CR are expressed in the presence of quantifiable measures of age- and AD-related brain changes and pathology. These will include MR measures of brain volume, cortical thickness, white matter hyperintensities, resting cerebral blood flow and default network integrity, as well quantified amyloid burden from 18F-AV-45 PET. These measures will be obtained for 50 young and 150 older healthy participants who will also perform two tasks while being imaged with fMRI. This will allow us to explore the neural implementation of CR and determine how CR maintains performance in the presence of brain changes and pathology. We also propose to follow our elder participants over time to determine whether differential expression of these CR networks in healthy elders is associated with reduced risk of important clinical outcomes including cognitive decline and developing mild cognitive impairment (MCI) or AD. This work will lead to better understanding of how aging and AD pathology impacts on the neural systems that mediate cognitive function and the neural mechanisms that differentiate successful and unsuccessful aging. In turn, it may provide clues for remediating or preventing age-related cognitive changes and delaying the onset of AD.
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海外基金