Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Biomedical Research Building 3rd floor, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK.
Institute of Health Research, University of Exeter, Exeter, UK.
Alzheimers Res Ther. 2020 Jul 8;12(1):82. doi: 10.1186/s13195-020-00650-1.
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.
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.
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.
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.
使用定量脑电图研究（1）路易体轻度认知障碍（MCI-LB）与阿尔茨海默病性轻度认知障碍（MCI-AD）患者之间的差异，以及（2）其作为早期鉴别诊断潜在生物标志物的效用。
我们分析了高度表型化参与者（39 例 MCI-LB、36 例 MCI-AD 和 31 例健康对照）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α、α 和β）的谱功率、θ/α 比、优势频率和优势频率变异性。进行了接收器操作特征（ROC）分析以评估诊断准确性。
与健康对照组相比，MCI-LB 中从β和α频段向较慢的前α和θ频段的功率转移。此外，MCI-LB 的优势频率较对照组慢。与 MCI-AD 相比，MCI-LB 中前α功率增加、β功率降低且优势频率较慢。在 MCI-LB 病例中，具有更多诊断特征的患者脑电图异常更为明显。MCI-AD 与对照组之间无显著差异。在区分 MCI-LB 与 MCI-AD 的 ROC 分析中，β功率和优势频率的曲线下面积分别为 0.71 和 0.70，具有最高值。虽然某些指标的特异性较高（α功率最高可达 0.97，θ/α 比最高可达 0.94），但敏感性通常要低得多。
与 MCI-AD 相比，早期 EEG 减慢是 MCI-LB 的特异性特征。然而，这两个 MCI 组之间存在重叠，使得仅基于 EEG 难以区分它们。
