ALZHEIMER'S DISEASE NEUROIMAGING INITIATIVE

阿尔茨海默病神经影像计划

• 批准号: 7605760
• 负责人: HENRY RUSINEK
• 金额: $ 0.55万
• 依托单位: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-04-01 至 2008-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7605760
• 关键词: Age; Alzheimer' s Disease; Archives; Biological Markers; Brain; Canada; Clinical; Clinical Data; Cognitive; Computer Retrieval of Information on Scientific Projects Database; Data; Databases; Disease Progression; Elderly; Funding; Goals; Grant; Hippocampus (Brain); Image; Individual; Institution; Isoprostanes; Magnetic Resonance Imaging; Measurement; Measures; Memory; Metabolic; Metabolism; Methods; Monitor; Natural History; Outcome Measure; Patients; Plasma; Positron-Emission Tomography; Procedures; Randomized; Rate; Recruitment Activity; Research; Research Design; Research Personnel; Resources; Risk; Sampling; Scanning; Score; Series; Severity of illness; Site; Source; Specific qualifier value; Standards of Weights and Measures; Structure; Testing; United States; United States National Institutes of Health; Validation; apolipoprotein E-4; fluorodeoxyglucose positron emission tomography; follow-up; glucose metabolism; image processing; interest; mild neurocognitive impairment; neuroimaging; neuropsychological; time interval; treatment effect

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. This Alzheimer's Disease Neuroimaging Initiative (ADNI) is a proposal to evaluate the use of biomarkers and neuroimaging to assess changes associated with the progression of Alzheimer's Disease (AD). A total of 200 normal, 400 mild cognitive impaired (MCI) and 200 early AD subjects will be studied, 16 per site. The study will examine the hypothesis that PET and/or CT will be a more sensitive and reliable marker of AD progression than cognitive and neuropsychological measures. The study will use repeated measures over 2-3 years. The major goals of the ADNI are as follows: (a) Develop uniform standards for acquiring longitudinal, multi-site MRI and PET data on patients with Alzheimer's disease (AD), mild cognitive impairment (MCI), and elderly controls. (b) Acquire a generally accessible data repository which describes longitudinal changes in brain structure and metabolism. In parallel, acquire clinical cognitive and biomarker data for validation of imaging surrogates. (c) Develop methods which will provide maximum power to determine treatment effects in trials involving these patients. (d) Test a series of hypotheses, including 1) hippocampal volume and cingulate metabolic rate predict conversion from MCI to AD; 2) rates of conversion from MCI to AD average 10-15%/year; 3) baseline scores on logical memory and APOE4 status predict conversion from MCI to AD; 4) CSF and plasma isoprostane levels are associated with disease severity. Study Design: This is a non-randomized natural history non-treatment study in which a total of 800 subjects, including 200 normal controls, 400 individuals with MCI, and 200 subjects with mild AD will be recruited at approximately 50 sites in the United States and Canada for longitudinal follow up. Procedures: All subjects will have serial clinical/cognitive assessments and 1.5 T structural MRI for 2-3 years. Approximately 50% of subjects will also have FDG PET scans at the same time intervals. 25% of subjects (who have not been scanned using PET) will have MRI at 3 Tesla. AD subjects (n=200) will be studied at 0, 6, 12, and 24 months. MCI subjects at high risk for conversion to AD (n= 400) will be studied at 0, 6, 12, 18, 24 and 36 months. Age-matched controls (n=200) will be studied at 0, 6, 12, 24 and 36 months. All MRI and PET scans will be rapidly assessed for quality so that subjects may be rescanned if necessary. All clinical data will be collected, monitored, and stored by the Coordinating Center at UCSD. U Penn will collect biomarker samples. All raw and processed image data will be archived at LONI. Outcome Measures: (a) Rate of conversion from MCI to AD. (b) Rate of volume change of whole brain and hippocampus. (c) Rates of change on each specified biomarker. (d) Rates of change of glucose metabolism for specified regions of interest on PET scanning. (e) Group differences for each imaging and biomarker measurement.

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