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阿尔茨海默病临床前和前驱期的电磁特征。

Electromagnetic signatures of the preclinical and prodromal stages of Alzheimer's disease.

机构信息

Department of Clinical and Experimental Neuroimaging, National Center for Geriatrics and Gerontology, Obu, 474-8511, Japan.

Laboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Complutense University of Madrid and Technical University of Madrid, Madrid, 28223, Spain.

出版信息

Brain. 2018 May 1;141(5):1470-1485. doi: 10.1093/brain/awy044.

Abstract

Biomarkers useful for the predementia stages of Alzheimer's disease are needed. Electroencephalography and magnetoencephalography (MEG) are expected to provide potential biomarker candidates for evaluating the predementia stages of Alzheimer's disease. However, the physiological relevance of EEG/MEG signal changes and their role in pathophysiological processes such as amyloid-β deposition and neurodegeneration need to be elucidated. We evaluated 28 individuals with mild cognitive impairment and 38 cognitively normal individuals, all of whom were further classified into amyloid-β-positive mild cognitive impairment (n = 17, mean age 74.7 ± 5.4 years, nine males), amyloid-β-negative mild cognitive impairment (n = 11, mean age 73.8 ± 8.8 years, eight males), amyloid-β-positive cognitively normal (n = 13, mean age 71.8 ± 4.4 years, seven males), and amyloid-β-negative cognitively normal (n = 25, mean age 72.5 ± 3.4 years, 11 males) individuals using Pittsburgh compound B-PET. We measured resting state MEG for 5 min with the eyes closed, and investigated regional spectral patterns of MEG signals using atlas-based region of interest analysis. Then, the relevance of the regional spectral patterns and their associations with pathophysiological backgrounds were analysed by integrating information from Pittsburgh compound B-PET, fluorodeoxyglucose-PET, structural MRI, and cognitive tests. The results demonstrated that regional spectral patterns of resting state activity could be separated into several types of MEG signatures as follows: (i) the effects of amyloid-β deposition were expressed as the alpha band power augmentation in medial frontal areas; (ii) the delta band power increase in the same region was associated with disease progression within the Alzheimer's disease continuum and was correlated with entorhinal atrophy and an Alzheimer's disease-like regional decrease in glucose metabolism; and (iii) the global theta power augmentation, which was previously considered to be an Alzheimer's disease-related EEG/MEG signature, was associated with general cognitive decline and hippocampal atrophy, but was not specific to Alzheimer's disease because these changes could be observed in the absence of amyloid-β deposition. The results suggest that these MEG signatures may be useful as unique biomarkers for the predementia stages of Alzheimer's disease.

摘要

需要用于阿尔茨海默病痴呆前阶段的生物标志物。脑电图 (EEG) 和脑磁图 (MEG) 有望为评估阿尔茨海默病痴呆前阶段提供潜在的生物标志物候选物。然而,EEG/MEG 信号变化的生理相关性及其在淀粉样蛋白-β沉积和神经退行性变等病理生理过程中的作用仍需阐明。我们评估了 28 名轻度认知障碍患者和 38 名认知正常个体,所有个体进一步分为淀粉样蛋白-β阳性轻度认知障碍(n = 17,平均年龄 74.7 ± 5.4 岁,9 名男性)、淀粉样蛋白-β阴性轻度认知障碍(n = 11,平均年龄 73.8 ± 8.8 岁,8 名男性)、淀粉样蛋白-β阳性认知正常(n = 13,平均年龄 71.8 ± 4.4 岁,7 名男性)和淀粉样蛋白-β阴性认知正常(n = 25,平均年龄 72.5 ± 3.4 岁,11 名男性)个体,使用匹兹堡化合物 B-PET。我们在闭眼状态下测量了 5 分钟的静息状态 MEG,并使用基于图谱的感兴趣区域分析研究了 MEG 信号的区域谱模式。然后,通过整合来自匹兹堡化合物 B-PET、氟脱氧葡萄糖-PET、结构 MRI 和认知测试的信息,分析了区域谱模式的相关性及其与病理生理背景的关系。结果表明,静息状态活动的区域谱模式可分为以下几种类型的 MEG 特征:(i) 淀粉样蛋白-β沉积的影响表现为内侧额区的α波段功率增强;(ii) 同一区域的 δ 波段功率增加与阿尔茨海默病连续体中的疾病进展相关,与内嗅皮层萎缩以及与阿尔茨海默病样葡萄糖代谢区域性减少相关;(iii) 先前被认为与阿尔茨海默病相关的 EEG/MEG 特征的全脑θ功率增强与一般认知能力下降和海马萎缩相关,但并不特异于阿尔茨海默病,因为在没有淀粉样蛋白-β沉积的情况下也可以观察到这些变化。这些结果表明,这些 MEG 特征可能是阿尔茨海默病痴呆前阶段的有用的独特生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3c0/5920328/3c06940ac525/awy044f1.jpg

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