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首页> 外文期刊>Human brain mapping >White matter vascular lesions are related to parietal-to-frontal coupling of EEG rhythms in mild cognitive impairment.
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White matter vascular lesions are related to parietal-to-frontal coupling of EEG rhythms in mild cognitive impairment.

机译:在轻度认知障碍中,白质血管病变与脑电节律的顶叶-额叶耦合有关。

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摘要

Do cerebrovascular and Alzheimer's disease (AD) lesions represent additive factors in the development of mild cognitive impairment (MCI) as a putative preclinical stage of AD? Here we tested the hypothesis that directionality of fronto-parietal functional coupling of electroencephalographic (EEG) rhythms is relatively preserved in amnesic MCI subjects in whom the cognitive decline is mainly explained by white-matter vascular load. Resting EEG was recorded in 40 healthy elderly (Nold) and 78 amnesic MCI. In the MCI subjects, white-matter vascular load was quantified based on magnetic resonance images (0-30 visual rating scale). EEG rhythms of interest were delta (2-4 Hz), theta (4-8 Hz), alpha1 (8-10.5 Hz), alpha2 (10.5-13 Hz), beta1 (13-20 Hz), and beta2 (20-30 Hz). Directionality of fronto-parietal functional coupling of EEG rhythms was estimated by directed transfer function software. As main results, (i) fronto-parietal functional coupling of EEG rhythms was higher in magnitude in the Nold than in the MCI subjects; (ii) more interestingly, that coupling was higher at theta, alpha1, alpha2, and beta1 in MCI V+ (high vascular load; N = 42; MMSE = 26) than in MCI V- group (low vascular load; N = 36; MMSE= 26.7). These results are interpreted as supporting the additive model according to which MCI state would result from the combination of cerebrovascular and neurodegenerative lesions.
机译:脑血管病和阿尔茨海默氏病(AD)病变是否代表轻度认知障碍(MCI)作为AD的临床前阶段发展的附加因素?在这里,我们测试了以下假设:脑电图(EEG)节律的额-顶叶功能性耦合的方向性在记忆缺失的MCI受试者中相对得以保留,在这些受试者中,认知功能下降主要是由白质血管负荷引起的。在40名健康老人(Nold)和78名健忘MCI中记录了静息EEG。在MCI受试者中,根据磁共振图像(0-30视力评定量表)对白质血管负荷进行了量化。感兴趣的脑电图节律为delta(2-4 Hz),theta(4-8 Hz),alpha1(8-10.5 Hz),alpha2(10.5-13 Hz),beta1(13-20 Hz)和beta2(20- 30 Hz)。脑电节律的额顶功能耦合的方向性由定向传递函数软件估计。作为主要结果,(i)Nold中脑电节律的额顶功能耦合程度高于MCI受试者; (ii)更有趣的是,MCI V +(高血管负荷; N = 42; MMSE = 26)中的theta,alpha1,alpha2和beta1的耦合比MCI V-组(低血管负荷; N = 36;高); MMSE = 26.7)。这些结果被解释为支持加性模型,根据该模型,脑血管和神经退行性病变的组合会导致MCI状态。

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