OBJECTIVES:To investigate using quantitative EEG the (1) differences between patients with mild cognitive impairment with Lewy bodies (MCI-LB) and MCI with Alzheimer's disease (MCI-AD) and (2) its utility as a potential biomarker for early differential diagnosis. METHODS:We analyzed eyes-closed, resting-state, high-density EEG data from highly phenotyped participants (39 MCI-LB, 36 MCI-AD, and 31 healthy controls). EEG measures included spectral power in different frequency bands (delta, theta, pre-alpha, alpha, and beta), theta/alpha ratio, dominant frequency, and dominant frequency variability. Receiver operating characteristic (ROC) analyses were performed to assess diagnostic accuracy. RESULTS:There was a shift in power from beta and alpha frequency bands towards slower frequencies in the pre-alpha and theta range in MCI-LB compared to healthy controls. Additionally, the dominant frequency was slower in MCI-LB compared to controls. We found significantly increased pre-alpha power, decreased beta power, and slower dominant frequency in MCI-LB compared to MCI-AD. EEG abnormalities were more apparent in MCI-LB cases with more diagnostic features. There were no significant differences between MCI-AD and controls. In the ROC analysis to distinguish MCI-LB from MCI-AD, beta power and dominant frequency showed the highest area under the curve values of 0.71 and 0.70, respectively. While specificity was high for some measures (up to 0.97 for alpha power and 0.94 for theta/alpha ratio), sensitivity was generally much lower. CONCLUSIONS:Early EEG slowing is a specific feature of MCI-LB compared to MCI-AD. However, there is an overlap between the two MCI groups which makes it difficult to distinguish between them based on EEG alone.

译文

目的:使用定量脑电图研究(1)路易体轻度认知障碍患者(MCI-LB)和患有阿尔茨海默氏病的MCI(MCI-AD)之间的差异,以及(2)其作为早期鉴别诊断的潜在生物标志物的用途。
方法:我们分析了来自高度表型参与者(39 MCI-LB,36 MCI-AD和31个健康对照)的闭眼,静息状态,高密度EEG数据。脑电图测量包括不同频带(δ,θ,前阿尔法,阿尔法和贝塔)的频谱功率,θ/阿尔法比,主导频率和主导频率可变性。进行接收器工作特性(ROC)分析以评估诊断准确性。
结果:与健康对照组相比,MCI-LB的pre-alpha和theta范围内的功率从β和α频段向着较慢的频率转移。此外,与对照组相比,MCI-LB中的主导频率较慢。我们发现与MCI-AD相比,MCI-LB中的前α功率显着增加,β功率降低,且主频率降低。脑电图异常在具有更多诊断功能的MCI-LB病例中更为明显。 MCI-AD与对照组之间无显着差异。在将MCI-LB与MCI-AD进行区分的ROC分析中,β功率和主导频率分别在曲线值0.71和0.70下显示出最高的面积。尽管某些措施的特异性很高(α功效最高为0.97,θ/α比率最高为0.94),但灵敏度通常要低得多。
结论:与MCI-AD相比,早期EEG减慢是MCI-LB的一个特殊特征。但是,两个MCI组之间存在重叠,这使得很难仅基于EEG来区分它们。

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