Suppr超能文献

新型白质束完整性指标对阿尔茨海默病进展敏感。

Novel white matter tract integrity metrics sensitive to Alzheimer disease progression.

机构信息

Department of Radiology, Center for Biomedical Imaging.

出版信息

AJNR Am J Neuroradiol. 2013 Nov-Dec;34(11):2105-12. doi: 10.3174/ajnr.A3553. Epub 2013 Jun 13.

Abstract

BACKGROUND AND PURPOSE

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.

MATERIALS AND METHODS

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.

RESULTS

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).

CONCLUSIONS

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.

摘要

背景与目的

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。

材料与方法

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。

结果

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)。

结论

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。

相似文献

引用本文的文献

本文引用的文献

1
Stroke assessment with diffusional kurtosis imaging.应用扩散峰度成像进行脑卒中评估。
Stroke. 2012 Nov;43(11):2968-73. doi: 10.1161/STROKEAHA.112.657742. Epub 2012 Aug 28.
6
White matter characterization with diffusional kurtosis imaging.基于弥散峰度成像的脑白质特征分析。
Neuroimage. 2011 Sep 1;58(1):177-88. doi: 10.1016/j.neuroimage.2011.06.006. Epub 2011 Jun 13.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验