Neuroimaging of the Vulnerable Brain in Delirium: Alzheimer's and Aging Imaging Markers
谵妄中脆弱大脑的神经影像学:阿尔茨海默病和衰老成像标记
基本信息
- 批准号:10405119
- 负责人:
- 金额:$ 25.99万
- 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
- 起止时间:2018-09-15 至 2025-05-31
- 项目状态:未结题
- 来源:
- 关键词:AcuteAffectAge-associated memory impairmentAgingAlzheimer&aposs DiseaseAlzheimer&aposs disease pathologyAlzheimer’s disease biomarkerAmyloid beta-ProteinBiological MarkersBrainCerebrospinal FluidCerebrovascular DisordersCognitiveCohort AnalysisConfusionDataDeliriumDementiaDiffusion Magnetic Resonance ImagingElectrophysiology (science)Functional Magnetic Resonance ImagingFutureGoalsHippocampus (Brain)HospitalizationImageImaging TechniquesImpaired cognitionIncidenceIndividualInflammationLinkLiquid substanceMRI ScansMagnetic Resonance ImagingMeasuresMemoryModernizationMolecularNerve DegenerationNeurodegenerative DisordersNeuronal PlasticityOperative Surgical ProceduresOutcomePathologyPatientsPersonsPlasmaPostoperative PeriodPrevention strategyProbability SamplesResearchResourcesRiskSeveritiesTestingThickTimeadverse outcomeage relatedagedbasecerebral atrophycognitive testingcohortcrosslinkexperienceimaging biomarkerimprovedinattentioninnovationmagnetic resonance imaging biomarkermolecular markernetwork dysfunctionneuroimagingneuroimaging markernovelpatient stratificationpre-clinicalrisk stratificationtau Proteinstau-1
项目摘要
ABSTRACT
Delirium, an acute state of inattention and confusion often precipitated by hospitalization and surgery, is a
condition for which patients with neurodegenerative diseases such as dementia due to Alzheimer's disease
(AD) are especially vulnerable. Evidence is mounting that people who do not have dementia at the time they
experience delirium are at increased risk for long-term cognitive decline (LTCD) and future dementia; whether
underlying AD pathology consistent with preclinical AD accounts for this heightened risk of delirium and
adverse outcomes is not known. In the prior cycle of this Project, a number of findings from diffusion tensor
imaging and fluid biomarkers associated with inflammation were identified as predisposing to delirium.
However, it is not clear whether those biomarkers might have been associated with preclinical AD pathology,
vulnerable aging, or other known pathologies. Using modern magnetic resonance imaging (MRI) techniques,
we have identified an “AD-Signature” of cortical atrophy and hippocampal hyperactivation as biomarkers of
prodromal or preclinical AD. In addition, measures of changes in the brain that are associated with age-related
cognitive decline in the absence of neurodegenerative or cerebrovascular disease can be detected as a
“Vulnerable Aging-Signature” of cortical atrophy and reduced frontoparietal functional connectivity. Therefore,
the overarching goal of this proposal is to examine whether neuroimaging biomarkers of preclinical AD or
vulnerable aging are predictive of delirium, delirium severity, and complicated delirium (i.e., delirium with
LTCD), and to link these neuroimaging biomarkers to molecular biomarkers of pathology measured in the
cerebrospinal fluid (CSF) and plasma. The Specific Aims are: 1) to determine in people with evidence of
preclinical AD (i.e. patients with abnormal CSF AD biomarker levels of tau and beta-amyloid) whether AD-
related brain atrophy or network dysfunction are associated with delirium, delirium severity, or LTCD; 2) to
determine in people without evidence of preclinical AD (i.e. patients with normal CSF AD biomarkers) whether
vulnerable aging-related brain atrophy or network dysfunction are associated with delirium, delirium severity, or
LTCD; and 3) to investigate whether longitudinal cortical atrophy (measured pre-operatively and one year after
surgery) due to preclinical AD or vulnerable aging is associated with postoperative LTCD or complicated
delirium. To test these hypotheses, we will leverage the resources of P01AG031720 which generated the
original SAGES I cohort (N=560 total, n=126 with longitudinal MRI), augmented by new CSF and MRI data
collected in 128 SAGES I probability sampled patients (64 with delirium, 64 without) about four years after their
surgery, and a new SAGES II cohort (N=400), of which 180 patients will have both CSF and MRI collected pre-
operatively. The long-term objective of this Project is to improve the pathophysiological understanding of brain
vulnerability to delirium in order to inform prevention strategies and, ultimately, pathophysiological-based
treatments.
摘要
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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BRADFORD C DICKERSON其他文献
BRADFORD C DICKERSON的其他文献
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{{ truncateString('BRADFORD C DICKERSON', 18)}}的其他基金
Robust detection of atrophy over short intervals in AD and FTLD
在 AD 和 FTLD 中短时间间隔内对萎缩进行稳健检测
- 批准号:
10633960 - 财政年份:2023
- 资助金额:
$ 25.99万 - 项目类别:
ADRC Consortium for Clarity in ADRD Research Through Imaging
ADRC 联盟通过成像来明确 ADRD 研究
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10803806 - 财政年份:2023
- 资助金额:
$ 25.99万 - 项目类别:
Toward Personalized Prognosis and Outcomes in Primary Progressive Aphasia
原发性进行性失语症的个性化预后和结果
- 批准号:
10634041 - 财政年份:2023
- 资助金额:
$ 25.99万 - 项目类别:
Neuromodulation of brain network function in preclinical and prodromal Alzheimer's Disease
阿尔茨海默病临床前和前驱期脑网络功能的神经调节
- 批准号:
10589289 - 财政年份:2023
- 资助金额:
$ 25.99万 - 项目类别:
Computational psycholinguistic analysis of speech samples in PPA and AD and FTD
PPA、AD 和 FTD 中语音样本的计算心理语言学分析
- 批准号:
10373191 - 财政年份:2022
- 资助金额:
$ 25.99万 - 项目类别:
Computational psycholinguistic analysis of speech samples in PPA and AD and FTD
PPA、AD 和 FTD 中语音样本的计算心理语言学分析
- 批准号:
10563169 - 财政年份:2022
- 资助金额:
$ 25.99万 - 项目类别:
Characterizing sleep brain dynamics associated with Alzheimer's disease pathology and progression in humans using EEG source localization and PET
使用 EEG 源定位和 PET 表征与人类阿尔茨海默病病理学和进展相关的睡眠大脑动力学
- 批准号:
10590969 - 财政年份:2022
- 资助金额:
$ 25.99万 - 项目类别:
Use of machine learning to quantify cognitive function in AD, FTD, and DLB
使用机器学习来量化 AD、FTD 和 DLB 中的认知功能
- 批准号:
10288487 - 财政年份:2021
- 资助金额:
$ 25.99万 - 项目类别:
Muli-scale Structural Imaging of Alzheimer's Disease Neuropathology and Neurodegeneration
阿尔茨海默病神经病理学和神经变性的多尺度结构成像
- 批准号:
10207104 - 财政年份:2021
- 资助金额:
$ 25.99万 - 项目类别:
Use of machine learning to quantify cognitive function in AD, FTD, and DLB
使用机器学习来量化 AD、FTD 和 DLB 中的认知功能
- 批准号:
10468302 - 财政年份:2021
- 资助金额:
$ 25.99万 - 项目类别:
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