Functional and Structural Neuroanatomy of Past Remembrance
Functional and Structural Neuroanatomy of Past Remembrance
批准号:
9238578
负责人:
Christine Nicole Smith
金额:
$0.0万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-10-01 至 2020-09-30
关键词:
AffectAfghanistanAgeAgingAlzheimer&aposs DiseaseAlzheimer&aposs disease riskAnatomyAnimal TestingAnimalsAreaAttentionBrainBrain InjuriesBrain imagingBrain regionCaregiversClinicalCognitiveCraniocerebral TraumaDementiaDevelopmentDiagnosisDiffusionDiffusion Magnetic Resonance ImagingDiseaseElderlyEventExhibitsFamily RelationshipFoundationsFunctional ImagingGoalsHealthHealthcareHippocampus (Brain)HourHumanImageImpairmentIncidenceIndividualInjuryInterventionIraqKnowledgeLearningLesionMagnetic Resonance ImagingMeasuresMemoryMemory LossMemory impairmentMental disordersMethodsNeuroanatomyNeurodegenerative DisordersNeurologicNeuropsychologyOccipital lobeParietal LobeParticipantPatientsPerformancePopulationPositron-Emission TomographyPrefrontal CortexPrevalenceReportingRiskRisk FactorsRoleScanningStagingStructureTechnologyTemporal LobeTestingThickTimeTreatment EfficacyVeteransWaramnestic mild cognitive impairmentgenetic predictorsgray matterhealthy agingimprovedinterestlong term memorymemory consolidationmemory retrievalmild cognitive impairmentneuroimagingnewsnormal agingnovelnovel strategiespre-clinicalpreventrelating to nervous systemrepositorysuccesstoolwhite matter
中文摘要
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英文摘要
[ Persistent memory impairment is one of the most common complaints after brain injury and is the hallmark of
Alzheimer's disease (AD) as well as amnestic Mild Cognitive Impairment (aMCI; a transitional stage between
healthy aging and AD). The prevalence of these conditions is increasing, as 40% of the VA population is
elderly and age is the greatest risk factor for AD. Head injury also increases the risk of developing AD and the
incidence of brain injury in Veterans (and the memory sequelae that accompanies it) has increased in recent
years due to the Iraq and Afghanistan wars. Efforts to understand the functional and structural substrates of
memory impairment have focused almost entirely on impaired new learning. Impaired remembering of the past
(retrograde memory [RM] loss) has received little attention even though this impairment is particularly
devastating (e.g., one forgets family relationships, important events, and facts about the world). Although
impaired new learning is well studied, RM has received less attention even though Veterans with MCI and AD
exhibit severe RM loss. Interestingly, individuals with MCI can exhibit relatively mild impairment in new learning
in conjunction with relatively severe RM loss, suggesting that a new tool to detect RM loss could serve as an
early estimate of cognitive and neural decline associated with the development of AD. Older Veterans exhibit
changes in brain structure and function as the result of aging, and Veterans with aMCI exhibit even more
significant changes in the brain. We will study RM in these two groups and identify brain regions (and
connections between brain regions) where measures of structure and function are related to performance on
RM tests. The two goals of the proposal are 1) to identify which brain regions support RM in cognitively normal
older Veterans; and then 2) determine if a RM test could serve as a novel and unique gauge of the cognitive
and neural changes associated RM loss in MCI. As time passes after learning, it is thought that the role of the
hippocampus and related structures in supporting memory retrieval gradually decreases, whereas the role of
the prefrontal cortex and other cortical areas gradually increase (memory consolidation). These observations
are typically observed across years and decades in humans but, curiously, across days and weeks in animals.
The proposed studies will identify the neuroanatomy of RM for both the short and longer time frames. In
addition, we will identify the relevant neuroanatomy using four neuroimaging measures (i.e., 2 focusing on
brain regions and 2 focusing on connections between brain regions). For the longer time frame, memory for
facts will be tested during functional brain imaging (fMRI). The facts will concern 160 notable news events that
occurred 1 to 30 years earlier. For the short time frame, memory will be tested during scanning for 320 fact-
like, three-word sentences that were learned 1 hour to 1 month earlier. Measures of grey and white matter
structure will also be obtained from anatomical magnetic resonance imaging and diffusion tensor imaging,
respectively. To identify regions where structural changes correlate with the accuracy of RM, we will identify
correlations between measures of brain structure (grey matter and white matter) and performance on the RM
tests. Measures of brain function will be obtained from task-related fMRI activity and task-related fMRI
functional connectivity. To identify regions where function correlates with RM, we will identify regions where
brain activity and brain connectivity change with the age of memory. Next, we will ask which findings for
structure and function are common to both time frames. Then, we will determine if the brain regions important
for RM in cognitively normal older Veterans are dysfunctional or damaged in Veterans with aMCI. Finally, for
developing a practical RM test, we will identify a subset of the questions that best predict genetic,
neuropsychological, and neural risk for developing AD. We anticipate that a RM test can serve as a robust and
sensitive clinical measure for staging preclinical AD or gauging the efficacy of treatments in Veterans with
neurodegenerative disorders and reduce the burden on caregivers and VA Healthcare. ]
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