Norwegian Advisory Unit for Aging and Health, Vestfold Health Trust, Tønsberg, Norway,
Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway,
Dement Geriatr Cogn Disord. 2020;49(1):38-47. doi: 10.1159/000508392. Epub 2020 Jul 1.
The aim of this study was to examine if quantitative electroencephalography (qEEG) using the statistical pattern recognition (SPR) method could predict conversion to dementia in patients with subjective cognitive decline (SCD) and mild cognitive impairment (MCI).
From 5 Nordic memory clinics, we included 47 SCD patients, 99 MCI patients, and 67 healthy controls. EEGs analyzed with the SPR method together with clinical data recorded at baseline were evaluated. The patients were followed up for a mean of 62.5 (SD 17.6) months and reexamined.
Of 200 participants with valid clinical information, 70 had converted to dementia, and 52 had developed Alzheimer's disease. Receiver-operating characteristic analysis of the EEG results as defined by a dementia index (DI) ranging from 0 to 100 revealed that the area under the curve was 0.78 (95% CI 0.70-0.85), corresponding to a sensitivity of 71%, specificity of 69%, and accuracy of 69%. A logistic regression analysis showed that by adding results of a cognitive test at baseline to the EEG DI, accuracy could improve.
We conclude that applying qEEG using the automated SPR method can be helpful in identifying patients with SCD and MCI that have a high risk of converting to dementia over a 5-year period. As the discriminant power of the method is of moderate degree, it should be used in addition to routine diagnostic methods.
本研究旨在探讨使用统计模式识别（SPR）方法的定量脑电图（qEEG）是否可预测主观认知下降（SCD）和轻度认知障碍（MCI）患者向痴呆的转化。
我们从 5 个北欧记忆诊所中纳入了 47 名 SCD 患者、99 名 MCI 患者和 67 名健康对照者。对使用 SPR 方法分析的 EEG 以及基线时记录的临床数据进行了评估。这些患者平均随访 62.5（17.6）个月，并接受了重新检查。
在 200 名具有有效临床信息的参与者中，有 70 人发生了痴呆转化，有 52 人发展为阿尔茨海默病。根据痴呆指数（DI）范围为 0 至 100 的 EEG 结果进行的受试者工作特征分析显示，曲线下面积为 0.78（95%CI 0.70-0.85），对应的敏感性为 71%，特异性为 69%，准确性为 69%。逻辑回归分析表明，通过将基线时的认知测试结果添加到 EEG DI 中，可以提高准确性。
我们的结论是，使用自动化 SPR 方法进行 qEEG 可有助于识别在 5 年内向痴呆转化风险较高的 SCD 和 MCI 患者。由于该方法的判别能力处于中等程度，因此应与常规诊断方法结合使用。
