Department of Radiology, Mayo Clinic, Rochester, MN, USA.
Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Neurobiol Aging. 2020 Dec;96:176-183. doi: 10.1016/j.neurobiolaging.2020.09.005. Epub 2020 Sep 8.
Our goal was to evaluate the utility of diffusion tensor imaging (DTI) for predicting future cognitive decline in mild cognitive impairment (MCI) in conjunction with Alzheimer's disease (AD) biomarkers (amyloid positron emission tomography and AD signature neurodegeneration) in 132 MCI individuals ≥60 year old with structural magnetic resonance imaging, DTI, amyloid positron emission tomography, and at least one clinical follow-up. We used mixed-effect models to evaluate the prognostic ability of fractional anisotropy of the genu of the corpus callosum (FA-Genu), as a cerebrovascular disease marker, for predicting cognitive decline along with AD biomarkers. We contrasted the value of white matter hyperintensities, a traditional cerebrovascular disease marker as well as FA in the hippocampal cingulum bundle with the FA-Genu models. FA-Genu significantly predicted cognitive decline even after accounting for AD biomarkers. WMH was not associated with cognitive decline in the model with both WMH and FA-Genu. DTI specifically FA-Genu provides unique complementary information to AD biomarkers and has significant utility for prediction of cognitive decline in MCI.
我们的目标是评估弥散张量成像（DTI）在结合阿尔茨海默病（AD）生物标志物（淀粉样蛋白正电子发射断层扫描和 AD 特征性神经退行性变）预测轻度认知障碍（MCI）中未来认知下降的效用，该研究纳入了 132 名≥60 岁的 MCI 个体，这些个体具有结构磁共振成像、DTI、淀粉样蛋白正电子发射断层扫描，并且至少有一次临床随访。我们使用混合效应模型来评估胼胝体膝部（ genu ）的各向异性分数（FA-Genu）作为脑血管疾病标志物，预测认知下降以及 AD 生物标志物的能力。我们对比了传统的脑血管疾病标志物——脑白质高信号（WMH）和海马扣带回束的 FA 与 FA-Genu 模型的预测价值。即使在考虑 AD 生物标志物后，FA-Genu 仍然显著预测认知下降。在同时包含 WMH 和 FA-Genu 的模型中，WMH 与认知下降无关。DTI 特别是 FA-Genu 为 AD 生物标志物提供了独特的补充信息，对于预测 MCI 中的认知下降具有重要意义。
