Laboratory of Functional Neuroscience, Pablo de Olavide University, Seville, Spain; CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, Spain.
Laboratory of Functional Neuroscience, Pablo de Olavide University, Seville, Spain; CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, Spain.
Neurobiol Aging. 2018 Apr;64:58-67. doi: 10.1016/j.neurobiolaging.2017.12.010. Epub 2017 Dec 20.
The diagnostic value of cerebrospinal fluid (CSF) biomarkers is well established in Alzheimer's disease, but our current knowledge about how abnormal CSF levels affect cerebral integrity, at local and network levels, is incomplete in asymptomatic older adults. Here, we have collected CSF samples and performed structural magnetic resonance imaging scans in cognitively normal elderly as part of a cross-sectional multicenter study (SIGNAL project). To identify group differences in cortical thickness, white matter volume, and properties of structural networks, participants were split into controls (N = 20), positive amyloid-β (Aβ) (N = 19), and positive phosphorylated tau (N = 18). The Aβ group exhibited thickening of middle temporal regions, while positive phosphorylated tau individuals showed thinning in the superior parietal and orbitofrontal cortices. Subjects with abnormal CSF biomarkers further showed regional white matter atrophy and more segregated cortical networks, the Aβ group showing heightened isolation of cingulate and temporal cortices. Collectively, these findings highlight the relevance of combining structural brain imaging and connectomics for in vivo tracking of Alzheimer's disease lesions in asymptomatic stages.
脑脊液（CSF）生物标志物在阿尔茨海默病中的诊断价值已得到充分证实，但我们目前对于异常 CSF 水平如何影响无症状老年人大脑中局部和网络层面的完整性的了解还不完整。在这里，我们作为一项横断面多中心研究（SIGNAL 项目）的一部分，收集了认知正常老年人的 CSF 样本并进行了结构磁共振成像扫描。为了确定皮质厚度、白质体积和结构网络特性的组间差异，参与者被分为对照组（N=20）、阳性 Aβ（N=19）和阳性磷酸化 tau（N=18）。Aβ 组表现出颞中区域的增厚，而阳性磷酸化 tau 个体则表现出顶叶和眶额皮质的变薄。脑脊液生物标志物异常的受试者进一步表现出区域性白质萎缩和皮质网络更为分离，Aβ 组表现出扣带和颞叶皮质的隔离程度增加。总之，这些发现强调了将结构脑成像和连接组学相结合用于无症状阶段阿尔茨海默病病变的体内追踪的重要性。
