PREDICTION OF COGNITIVE DECLINE W/ MRI & MRS

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得主要资金， 因此可以在其他CRISP条目中表示。所列机构为 中心，不一定是研究者的机构。 该项目的总体目标是确定大脑中纵向结构，灌注和代谢变化的模式，这些变化最能预测阿尔茨海默病（AD）导致的未来认知能力下降和痴呆。具体来说，我们将确定MRI/MRS对认知测试的预测性“增值”。我们将对130名65岁的非痴呆受试者进行纵向临床评价、认知测试和MRI/MRS研究，这些受试者表现为记忆主诉。将在0、6、12和24个月时通过MRI/MRS获得自变量。来测量大脑结构灌注和新陈代谢因变量将是记忆力和执行功能评分的下降，每年评估一次。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预测认知下降/痴呆。假设：1.）初始内嗅皮层（ERC）体积预测认知下降/痴呆，并增加了基线记忆功能的预测值。2.）除了基线记忆功能和ERC体积外，ERC萎缩率可改善认知功能下降的预测。3.）第三章记忆力下降的最佳MRI预测因子是ERC和海马体积随时间的变化，这些增加了基线记忆功能的预测值。执行功能下降的最佳预测因子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体积的变化外，海马颞叶和顶叶中灌注和代谢物（NAA，mI）随时间的变化进一步改善了对认知下降的预测。除了上述假设之外，我们还将探讨认知、遗传（APOE）和MRI/MRS测量的组合以及扫描间隔的最佳预测随后的认知衰退/痴呆。该项目预计将改善预测AD所致认知衰退/痴呆的方法;这些技术应识别AD高风险受试者，这些受试者是一级预防的候选人。

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.