Memory Representations in Aging
Memory Representations in Aging
批准号:
9762552
负责人:
Zachary Adam Monge
金额:
$3.78万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-08-01 至 2020-04-15
关键词:
AffectAgeAgingAlzheimer&aposs DiseaseAnteriorBehavioralBindingBrainCognitiveComplexConcept FormationDataDevelopmentDiffusion Magnetic Resonance ImagingEducational workshopElderlyEpisodic memoryEventExhibitsFellowshipFoundationsFunctional Magnetic Resonance ImagingFutureGoalsGraphHippocampus (Brain)Image AnalysisImpairmentInternationalInterventionInvestigationLinkLong-Term EffectsLongevityMagnetic Resonance ImagingMeasuresMediatingMemoryMemory LossMemory impairmentMentorsMentorshipMultimodal ImagingNatureNetwork-basedNeurocognitiveParticipantPatternPhasePopulationPublished CommentQuality of lifeReadingRehabilitation therapyResearchResearch ProposalsRetrievalSemanticsStimulusStructureSumSymptomsTemporal LobeTimeTrainingWorkage effectage relatedbasecareercareer developmentcognitive abilitycognitive trainingconvolutional neural networkdesignevidence basegraph theoryimprovedinnovationinsightinterestmemory processneuroimagingneuromechanismnormal agingnoveloperationpathological agingpreservationprogramsskillssymposiumtherapy developmentwhite matteryoung adult
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Project Summary/Abstract
Episodic memory shows a robust decline in aging. Decades of neuroimaging research has yielded a wealth of
information on the neural mechanisms of age-related episodic memory decline, but a particular limitation of
previous studies is that they focused on memory processes (operations performed on memories) and not
memory representations (the content of memories). It is likely that memory representations also decline with
age, making the investigation of memory representations essential to providing novel insight into mechanisms
underlying age-related episodic memory decline, which is important for the development of interventions for
memory rehabilitation. Particularly hindering future intervention development, it is unclear (1) how memory
representations are affected by age-related differences in the contributions of perceptual vs. conceptual
processes, which change across the lifespan and may be targeted in an intervention, and (2) how the structural
basis of memory representations changes across the lifespan, which is necessary to understand for an
intervention ameliorating age-related memory representation deficits to have long term effects. Here, the
applicant proposes an innovative two-prong approach that examines age-related differences in the
influence on memory representations of perceptual vs. conceptual processes and brain structural
networks. The proposed project will provide mentored training in (1) the assessment of brain/neurocognitive
changes in younger and older adults, (2) advanced MRI analysis (e.g., graph theory, deep convolutional neural
networks) and (3) multimodal imaging analysis (functional and structural), which are necessary for utilizing
the two-prong approach, and (4) career development. The training plan includes coursework, workshops, one-
on-one mentorship, participation in seminars, directed readings, and attendance at national and international
conferences. In Study 1, while undergoing fMRI, 36 younger adults and 36 older adults study pictures of
complex scenes and later retrieve their memories of the scenes. Participants’ use of perceptual and conceptual
processes are experimentally manipulated. The goal is to link age-related memory representational quality
deficits to age effects in perceptual vs. conceptual processing (Aim 1). The applicant investigates this aim with
representational similarity analyses combined with cutting-edge deep convolutional neural networks. In Study
2, the applicant also collects diffusion weighted images to link age-related memory representation quality
deficits to age effects on structural brain networks (Aim 2). The applicant investigates this aim with novel
graph theory and multimodal imaging (functional and structural) analyses. This investigation using a two-
prong approach will provide a novel viewpoint on mechanisms underlying age-related episodic memory
decline, which is essential for intervention development. Furthermore, at the culmination of this fellowship,
the applicant will have a specialized skill set and be well prepared to begin the next phase of training.
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