Imaging of Cognition, Learning and Memory in Aging
衰老过程中认知、学习和记忆的成像
基本信息
- 批准号:10221546
- 负责人:
- 金额:$ 95.85万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-05-01 至 2024-03-31
- 项目状态:已结题
- 来源:
- 关键词:3-DimensionalAdultAgeAgingAlzheimer&aposs DiseaseAlzheimer&aposs disease pathologyBehaviorBehavioralBrainBrain PathologyCerebrovascular CirculationClinicalCognitionCognitiveDataData AnalysesData SetDiseaseElderlyFunctional Magnetic Resonance ImagingGeneticImageImpaired cognitionIndividualIndividual DifferencesLearningLife ExperienceLife StyleLinkMeasuresMediatingMediationMemoryMethodologyMethodsModelingOutcomeParticipantPathologyPatternPositioning AttributePositron-Emission TomographyPredispositionProbabilityProceduresProcessProxyPublic HealthResearchRestRiskShort-Term MemoryStructureSystemTask PerformancesTestingThickTimeWhite Matter HyperintensityWorkage relatedage related cognitive changeaging brainbasebehavior measurementbrain morphologybrain volumecognitive functioncognitive performancecognitive reservedifferential expressionexperiencefollow-upinnovationinsightlongitudinal analysismild cognitive impairmentmultimodalityneuromechanismpreservationpreventrecruitrelating to nervous systemtheorieswhite matteryoung adultβ-amyloid burden
项目摘要
The proposed research is aimed at better understanding the neural underpinnings of cognitive reserve (CR).
We have postulated that CR moderates the relationship between age- or Alzheimer’s disease (AD)-related
brain pathology and the clinical impact of that pathology. Our findings suggest 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. We have also begun to look at the factors influencing
brain integrity, or brain reserve (BR). The promise of better understanding CR and BR is that these concepts
have implications for preservation of function over time, so the neural mechanisms underlying reserve are
optimally studied in a longitudinal context. We propose to initiate longitudinal follow-up at 5 years of a large,
well characterized, initially healthy group of young (n=50) and older (N=150) adults, in order to elucidate the
neural mechanism underlying CR that help maintain BR and successful cognitive performance in the face of
advancing age-related brain changes and AD pathology. These participants have already been studied at
baseline with two fMRI tasks, as well as quantified measures of age- and AD-related brain changes and
pathology, including MR measures of brain volume, cortical thickness, white matter hyperintensities, resting
cerebral blood flow and default network integrity, as well quantified amyloid burden from Florbetaben PET. We
have already identified candidate neural mechanisms for CR. We will 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. We will also
explore how measured CR and CR networks maintain BR and how they moderate the effect of observed brain
changes and advancing AD pathology in order to preserve cognitive functioning.
该研究旨在更好地理解认知储备(CR)的神经基础。
我们假设CR可以调节年龄或阿尔茨海默病(AD)相关性与
大脑病理学和病理学的临床影响。我们的研究结果表明,CR通过
任务在大脑中如何处理的个体差异,我们可以使用fMRI测量的任务相关
激活来理解这些处理差异。我们也开始研究影响
大脑完整性或大脑储备(BR)。更好地理解CR和BR的承诺是,这些概念
随着时间的推移,对功能的保存有影响,因此储备的神经机制是
在纵向背景下进行最佳研究。我们建议在5年时开始纵向随访,
特征明确的,最初健康的年轻(n=50)和老年(N=150)成人组,以阐明
神经机制的基础CR,帮助维持BR和成功的认知表现,面对
推进与年龄相关的大脑变化和AD病理学。这些参与者已经在
两个fMRI任务的基线,以及年龄和AD相关大脑变化的量化指标,
病理学,包括脑体积、皮质厚度、白色高信号、静息
脑血流量和默认网络完整性,以及来自Florbetaben PET的定量淀粉样蛋白负荷。我们
已经确定了CR的候选神经机制。我们将确定是否有差异
这些CR网络在健康老年人中的表达与重要临床疾病的风险降低相关。
结果包括认知下降和发展轻度认知障碍MCI或AD。我们还将
探索测量的CR和CR网络如何维持BR,以及它们如何调节观察到的大脑效应
改变和推进AD病理,以保持认知功能。
项目成果
期刊论文数量(88)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Physical activity moderates the association between white matter hyperintensity burden and cognitive change.
- DOI:10.3389/fnagi.2022.945645
- 发表时间:2022
- 期刊:
- 影响因子:4.8
- 作者:
- 通讯作者:
Separating function from structure in perfusion imaging of the aging brain.
- DOI:10.1002/hbm.20719
- 发表时间:2009-09
- 期刊:
- 影响因子:4.8
- 作者:Asllani, Iris;Habeck, Christian;Borogovac, Ajna;Brown, Truman R.;Brickman, Adam M.;Stern, Yaakov
- 通讯作者:Stern, Yaakov
Cognitive neuroscience neuroimaging repository for the adult lifespan.
- DOI:10.1016/j.neuroimage.2015.08.037
- 发表时间:2017-01
- 期刊:
- 影响因子:5.7
- 作者:Razlighi QR;Habeck C;Barulli D;Stern Y
- 通讯作者:Stern Y
The impact of age-related changes on working memory functional activity.
- DOI:10.1007/s11682-008-9056-x
- 发表时间:2009
- 期刊:
- 影响因子:3.2
- 作者:Steffener, Jason;Brickman, Adam M.;Rakitin, Brian C.;Gazes, Yunglin;Stern, Yaakov
- 通讯作者:Stern, Yaakov
An approach to studying the neural correlates of reserve.
- DOI:10.1007/s11682-016-9566-x
- 发表时间:2017-04
- 期刊:
- 影响因子:3.2
- 作者:Stern Y
- 通讯作者:Stern Y
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{{ truncateString('YAAKOV STERN', 18)}}的其他基金
Changing lives, changing brains: How modern family and work life influences ADRD risks
改变生活,改变大脑:现代家庭和工作生活如何影响 ADRD 风险
- 批准号:
10410547 - 财政年份:2020
- 资助金额:
$ 95.85万 - 项目类别:
Changing lives, changing brains: How modern family and work life influences ADRD risks
改变生活,改变大脑:现代家庭和工作生活如何影响 ADRD 风险
- 批准号:
10055573 - 财政年份:2020
- 资助金额:
$ 95.85万 - 项目类别:
Changing lives, changing brains: How modern family and work life influences ADRD risks
改变生活,改变大脑:现代家庭和工作生活如何影响 ADRD 风险
- 批准号:
10256738 - 财政年份:2020
- 资助金额:
$ 95.85万 - 项目类别:
Imaging of Cognition, Learning and Memory in Aging
衰老过程中认知、学习和记忆的成像
- 批准号:
9238020 - 财政年份:2017
- 资助金额:
$ 95.85万 - 项目类别:
Imaging of Cognition, Learning and Memory in Aging
衰老过程中认知、学习和记忆的成像
- 批准号:
9913429 - 财政年份:2017
- 资助金额:
$ 95.85万 - 项目类别:
Exploring Cognitive Aging Using Reference Ability Neural Networks
使用参考能力神经网络探索认知老化
- 批准号:
8526327 - 财政年份:2011
- 资助金额:
$ 95.85万 - 项目类别:
Exploring Cognitive Aging Using Reference Ability Neural Networks
使用参考能力神经网络探索认知老化
- 批准号:
8726893 - 财政年份:2011
- 资助金额:
$ 95.85万 - 项目类别:
Exploring Cognitive Aging Using Reference Ability Neural Networks
使用参考能力神经网络探索认知老化
- 批准号:
8324565 - 财政年份:2011
- 资助金额:
$ 95.85万 - 项目类别:
Exploring Cognitive Aging Using Reference Ability Neural Networks
使用参考能力神经网络探索认知老化
- 批准号:
8185307 - 财政年份:2011
- 资助金额:
$ 95.85万 - 项目类别:
Combined exercise and cognitive training intervention in normal aging
运动与认知训练相结合干预正常衰老
- 批准号:
8131635 - 财政年份:2009
- 资助金额:
$ 95.85万 - 项目类别:
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