Early AD Detection with ASL MRI & Covariance Analysis
使用 ASL MRI 进行早期 AD 检测
基本信息
- 批准号:7632173
- 负责人:
- 金额:$ 31.9万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2007
- 资助国家:美国
- 起止时间:2007-09-01 至 2012-06-30
- 项目状态:已结题
- 来源:
- 关键词:Alzheimer disease detectionAlzheimer&aposs DiseaseAreaBiological MarkersBlindedBrainCerebrovascular CirculationClassificationClinicalCognitiveControl GroupsDiagnosisDiagnosticDiseaseDisease ProgressionEarly DiagnosisElderlyGuidelinesImageImaging TechniquesImpaired cognitionIonizing radiationLinkMRI ScansMagnetic Resonance ImagingMapsMeasurementMeasuresMethodsMultivariate AnalysisNatureNeuropsychological TestsPathologyPatientsPatternPerformancePopulationPositron-Emission TomographyPredictive ValueProcessPublishingReadingReproducibilityResearch PersonnelResolutionRestRiskScanningSensitivity and SpecificitySpin LabelsStagingTechniquesTestingTimebaseblood flow measurementclinical applicationcognitive impairment no dementiacostdesigndisorder controldrug efficacyfollow-upindexinginstrumentinterestmild neurocognitive impairmentneuropsychologicalprogramsrelating to nervous systemsingle photon emission computed tomographytherapy developmenttool
项目摘要
DESCRIPTION (provided by applicant): As the development of treatments for Alzheimer's disease (AD) continues, there is an urgent need for biomarkers that can diagnose AD as early as possible, and that can map disease progression for the purposes of testing drug efficacy. Previous studies have suggested that there is a strong link between resting cerebral blood flow (CBF) assessed by PET or SPECT and neuropathological changes of AD. However PET or SPECT are limited by factors such as high cost, low availability, invasive nature, ionizing radiation or low spatial resolution. Arterial spin labeling (ASL) MRI is a relatively recent, noninvasive, and cost-effective imaging technique which provides absolute quantification of CBF with reproducibility, resolution and contrast exceeding that obtained with PET or SPECT. This proposal combines the measuring power of ASL MRI with the analytic power of multivariate analysis methods. Despite the attractive features of multivariate analytic techniques compared with more commonly used univariate techniques, they have rarely been used to study the neural correlates of AD or cognitive impairment. Multivariate analysis methods can identify patterns of regionally correlated CBF changes that might precede the clinical and structural manifestation of the disease, and therefore serve as sensitive early diagnostic tool. 20 healthy elderly controls, 60 subject with Mild Cognitive Impairment, and 20 early AD subjects will be scanned repeatedly with ASL MRI during rest to establish CBF patterns underlying early AD. Their ability to detect AD, predict disease progression and predict of conversion to AD status in the MCI subjects will be investigated. It is feasible that CBF measurement through ASL and forward application of such AD-related CBF patterns can become a routine part of structural MRI scans, to capture in one number -similar to a neuropsychological measure- the degree to which subjects display AD-related CBF changes in at-risk and early stage patients, and thereby aid the early detection and treatment.
描述(申请人提供):随着阿尔茨海默病(AD)治疗方法的不断发展,迫切需要能够尽早诊断AD并能够绘制疾病进展图以测试药物疗效的生物标记物。既往研究表明,PET或SPECT测定的静息脑血流量(CBF)与AD的神经病理改变有很强的联系。然而,PET或SPECT受到诸如高成本、低可用性、侵入性、电离辐射或低空间分辨率等因素的限制。动脉自旋标记(ASL)MRI是一种相对较新的、无创的、经济有效的成像技术,它提供了绝对定量的CBF,其重复性、分辨率和对比度都超过了PET或SPECT。这一建议结合了ASL MRI的测量能力和多变量分析方法的分析能力。尽管与更常用的单变量分析技术相比,多变量分析技术具有吸引人的特点,但它们很少被用于研究AD或认知障碍的神经相关性。多变量分析方法可以识别可能先于疾病的临床和结构表现的区域性相关的CBF变化模式,因此可以作为敏感的早期诊断工具。20名健康老年人对照组、60名轻度认知障碍患者和20名早期AD患者将在休息时重复进行ASL MRI扫描,以建立早期AD的CBF模式。他们在MCI受试者中检测AD、预测疾病进展和预测转换为AD状态的能力将被调查。通过ASL和这种AD相关CBF模式的向前应用进行CBF测量是可行的,可以成为结构性MRI扫描的常规部分,以一个数字-类似于神经心理学测量-捕捉受试者在高危和早期患者中显示AD相关CBF变化的程度,从而有助于早期发现和治疗。
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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Christian Georg Habeck其他文献
Christian Georg Habeck的其他文献
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{{ truncateString('Christian Georg Habeck', 18)}}的其他基金
Exploring Cognitive Aging Using Refernce Ability Neural Networks
使用参考能力神经网络探索认知老化
- 批准号:
9177188 - 财政年份:2011
- 资助金额:
$ 31.9万 - 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:
10645084 - 财政年份:2011
- 资助金额:
$ 31.9万 - 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:
10470092 - 财政年份:2011
- 资助金额:
$ 31.9万 - 项目类别:
Early AD Detection with ASL MRI & Covariance Analysis
使用 ASL MRI 进行早期 AD 检测
- 批准号:
7491027 - 财政年份:2007
- 资助金额:
$ 31.9万 - 项目类别:
Early AD Detection with ASL MRI & Covariance Analysis
使用 ASL MRI 进行早期 AD 检测
- 批准号:
7144095 - 财政年份:2007
- 资助金额:
$ 31.9万 - 项目类别:
Early AD Detection with ASL MRI & Covariance Analysis
使用 ASL MRI 进行早期 AD 检测
- 批准号:
8092768 - 财政年份:2007
- 资助金额:
$ 31.9万 - 项目类别:
Early AD Detection with ASL MRI & Covariance Analysis
使用 ASL MRI 进行早期 AD 检测
- 批准号:
7874469 - 财政年份:2007
- 资助金额:
$ 31.9万 - 项目类别:














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