Department of Radiology, Center for Biomedical Imaging.
AJNR Am J Neuroradiol. 2013 Nov-Dec;34(11):2105-12. doi: 10.3174/ajnr.A3553. Epub 2013 Jun 13.
Along with cortical abnormalities, white matter microstructural changes such as axonal loss and myelin breakdown are implicated in the pathogenesis of Alzheimer disease. Recently, a white matter model was introduced that relates non-Gaussian diffusional kurtosis imaging metrics to characteristics of white matter tract integrity, including the axonal water fraction, the intra-axonal diffusivity, and the extra-axonal axial and radial diffusivities.
This study reports these white matter tract integrity metrics in subjects with amnestic mild cognitive impairment (n = 12), Alzheimer disease (n = 14), and age-matched healthy controls (n = 15) in an effort to investigate their sensitivity, diagnostic accuracy, and associations with white matter changes through the course of Alzheimer disease.
With tract-based spatial statistics and region-of-interest analyses, increased diffusivity in the extra-axonal space (extra-axonal axial and radial diffusivities) in several white matter tracts sensitively and accurately discriminated healthy controls from those with amnestic mild cognitive impairment (area under the receiver operating characteristic curve = 0.82-0.95), while widespread decreased axonal water fraction discriminated amnestic mild cognitive impairment from Alzheimer disease (area under the receiver operating characteristic curve = 0.84). Additionally, these white matter tract integrity metrics in the body of the corpus callosum were strongly correlated with processing speed in amnestic mild cognitive impairment (r = |0.80-0.82|, P < .001).
These findings have implications for the course and spatial progression of white matter degeneration in Alzheimer disease, suggest the mechanisms by which these changes occur, and demonstrate the viability of these white matter tract integrity metrics as potential neuroimaging biomarkers of the earliest stages of Alzheimer disease and disease progression.
除了皮质异常外,轴突丢失和髓鞘破坏等白质微观结构变化也与阿尔茨海默病的发病机制有关。最近,提出了一种白质模型,该模型将非高斯扩散峰度成像指标与白质束完整性的特征相关联,包括轴突水分数、轴内弥散度以及轴外的轴向和径向弥散度。
本研究报告了遗忘型轻度认知障碍(n=12)、阿尔茨海默病(n=14)以及年龄匹配的健康对照组(n=15)的这些白质束完整性指标,旨在研究它们的敏感性、诊断准确性以及与阿尔茨海默病过程中的白质变化的相关性。
通过基于束的空间统计学和感兴趣区分析,在几个白质束中,轴外空间(轴外轴向和径向弥散度)的弥散度增加能够敏感且准确地将健康对照组与遗忘型轻度认知障碍组区分开(受试者工作特征曲线下面积=0.82-0.95),而广泛的轴突水分数降低则将遗忘型轻度认知障碍与阿尔茨海默病区分开(受试者工作特征曲线下面积=0.84)。此外,胼胝体体部的这些白质束完整性指标与遗忘型轻度认知障碍的处理速度呈强相关性(r=|0.80-0.82|,P<0.001)。
这些发现对阿尔茨海默病白质变性的过程和空间进展具有重要意义,提示了这些变化发生的机制,并证明了这些白质束完整性指标作为阿尔茨海默病早期阶段和疾病进展的潜在神经影像学生物标志物的可行性。