PREDICTION OF COGNITIVE DECLINE W/ MRI & MRS

通过 MRI 预测认知能力下降

• 批准号: 8171038
• 负责人: MICHAEL W WEINER
• 金额: $ 0.91万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2011-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8171038
• 关键词: Alzheimer' s Disease; Apolipoprotein E; Atrophic; Brain; Clinical dementia rating scale; Cognitive; Computer Retrieval of Information on Scientific Projects Database; Dementia; Funding; Future; Genetic; Goals; Grant; Hippocampus (Brain); Impaired cognition; Institution; Magnetic Resonance Imaging; Measures; Memory; Metabolic; Metabolism; Methods; Parietal Lobe; Pattern; Perfusion; Predictive Value; Primary Prevention; Research; Research Personnel; Resources; Scanning; Source; Structure; Techniques; Testing; Time; United States National Institutes of Health; cognitive function; entorhinal cortex; executive function; gray matter; high risk; improved; research clinical testing

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. The overall goal of this project is to determine the pattern of longitudinal structural, perfusion, and metabolic changes in the brain, which best predict future cognitive decline and dementia due to Alzheimer's disease (AD). Specifically we will determine the predictive "value added" of MRI/MRS to cognitive testing. We will perform longitudinal clinical evaluation, cognitive testing, and MRI/MRS studies on 130 completed non-demented subjects 65 yr, presenting with memory complaints. The independent variables will be obtained from MRI/MRS at 0, 6, 12,and 24 mo. to measure brain structure, perfusion, and metabolism. Dependent variables will be decline of memory and executive function scores, assessed annually. Clinical dementia rating scale and conversion to dementia will be used as secondary dependent variables. The overall hypothesis is that MRI/MRSI predicts cognitive decline/dementia. Hypotheses: 1.) Initial entorhinal cortex (ERC) volume predicts cognitive decline/dementia and ad ds to the predictive value of baseline memory function. 2.) In addition to baseline memory function and ERC volume, rate of ERC atrophy improves prediction of cognitive decline. 3.) The best MRI predictors for memory decline are volume change over time of ERC and hippocampus, and these add to the predictive value of baseline memory function. The best predictors of executive function decline are volume changes in frontal gray matter and these add to the predictive value of baseline cognitive function. 4.) In addition to baseline memory function and changes of ERC volume, perfusion and metabolite (NAA, mI) changes over time in hippocampus temporal and parietal lobe further improve prediction of cognitive decline. In addition to the above hypotheses, we will explore what combination of cognitive, genetic (APOE) and MRI/MRS measures, and what between-scan interval, best predicts subsequent cognitive decline/dementia. This project is expected to improve methods for predicting cognitive decl ine/dementia due to AD; these techniques should identify those subjects at high risk for AD, who are candidates for primary prevention.

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目和 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说，它不一定是研究者的机构。 该项目的总体目标是确定大脑纵向结构、灌注和代谢变化的模式，从而最好地预测未来因阿尔茨海默病 (AD) 引起的认知能力下降和痴呆。具体来说，我们将确定 MRI/MRS 对认知测试的预测“附加值”。我们将对 130 名 65 岁、有记忆抱怨的完整非痴呆受试者进行纵向临床评估、认知测试和 MRI/MRS 研究。自变量将从 0、6、12 和 24 个月时的 MRI/MRS 获得。测量大脑结构、灌注和新陈代谢。因变量是每年评估的记忆力下降和执行功能评分。临床痴呆评定量表和痴呆转化率将用作次要因变量。总体假设是 MRI/MRSI 可以预测认知能力下降/痴呆。假设： 1.) 初始内嗅皮层 (ERC) 体积可预测认知能力下降/痴呆，并增加基线记忆功能的预测价值。 2.) 除了基线记忆功能和 ERC 体积之外，ERC 萎缩率还可以提高对认知能力下降的预测。 3.) 记忆力下降的最佳 MRI 预测指标是 ERC 和海马体的体积随时间的变化，这些增加了基线记忆功能的预测价值。执行功能下降的最佳预测因素是额叶灰质的体积变化，这些变化增加了基线认知功能的预测价值。 4.) 除了基线记忆功能和 ERC 体积的变化之外，海马颞叶和顶叶的灌注和代谢物（NAA、mI）随时间的变化进一步改善了对认知衰退的预测。除了上述假设之外，我们还将探讨认知、遗传 (APOE) 和 MRI/MRS 测量的哪种组合以及扫描间隔如何最能预测随后的认知衰退/痴呆。该项目有望改进预测 AD 所致认知能力下降/痴呆的方法；这些技术应该能够识别出 AD 高危人群，他们是一级预防的候选者。