Neuroimaging Core

神经影像学核心-摘要 神经成像（NI）使我们能够使用代谢， 生理和结构的措施，并已广泛用于老化研究，包括我们自己的 工作神经影像学首次纳入爱因斯坦衰老研究（EAS）在前一个资助期 并且作为将临床、生理和生物学预测因子与 成果。神经影像学也提供了一个基础，我们可以在此基础上得出关于大脑的推论 结构和病理过程介导的预测结果的关联。因此，核心 定位EAS，以更直接地解决机制假说，以及发展成像措施 作为额外的独立非侵入性预测因子。NI核心的一个关键特征是提供广泛的 大脑测量的调色板因此，这些项目能够选择最适合其目标的措施。的NI 然后，核心与统计/数据管理核心合作，设计和执行分析， 整合并最大限度地利用这些多模式大脑测量的力量。

Neuroimaging Core - Abstract Neuroimaging (NI) allows us to noninvasively assess the integrity of brain tissue using metabolic, physiologic and structural measures and has been extensively utilized in aging research, including our own work. Neuroimaging was first incorporated into the Einstein Aging Study (EAS) during the prior funding period and plays a prominent role as an essential means to link clinical, physiological and biological predictors to outcomes. Neuroimaging also provides a substrate on which we can draw inferences regarding the brain structures and pathologic processes that mediate the predictor-outcome associations. The NI Core thus positions the EAS to more directly address mechanistic hypotheses as well as to develop imaging measures as additional independent noninvasive predictors. A key feature of the NI Core is its provision of a broad palette of brain measures. The projects are thus able to select the measures most suited to their aims. The NI Core then collaborates with the Statistical/Data Management Core to design and execute analyses that integrate and maximally exploit the power of these multimodal brain measures.