A comparison of resting state Alzheimer ?s disease and mild EEG and structural MRI for classifying cognitive impairment
A comparison of resting state Alzheimer ?s disease and mild EEG and structural MRI for classifying cognitive impairment
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与静息状态阿尔茨海默病的比较？s病与轻度EEG和结构MRI对认知功能损害的分类
DOI：
10.1016/j.neuroimage.2020.116795
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发表时间：
2020-07-15
期刊：
影响因子：
5.7
通讯作者：
Whelan, R.
中科院分区：
文献类型：
--
作者：
Farina, F. R.;Emek-Savas, D. D.;Whelan, R.
阿尔茨海默病（AD）是痴呆症的主要原因，占全球病例的70%。到2050年，痴呆症患病率将增加两倍，大多数新病例将发生在低收入和中等收入国家。轻度认知障碍（MCI）是介于健康老龄化和痴呆之间的一个阶段，以不影响日常生活的认知缺陷为特征。轻度认知障碍患者患痴呆症的风险增加，5年内的平均进展率为39%。迫切需要低成本、可获得和客观的方法来促进早期发现痴呆症。脑电图(EEG)由于其低成本和便携性而具有解决这一需求的潜力。在这里，我们收集了静息状态脑电图、结构MRI （sMRI）和丰富的神经心理学数据，这些数据来自老年（55岁以上）患有AD、遗忘性MCI （aMCI）和健康对照（每组约60例）。我们评估了AD和aMCI分类的一系列候选EEG标记（即频带功率和功能连通性），并将其与sMRI的性能进行了比较。我们还测试了脑电图和认知分类模型（使用迷你精神状态检查；MMSE）。sMRI在AD分类方面优于静息状态EEG （auc分别为1.00 vs 0.76）。然而，EEG和sMRI仅能较好地区分aMCI和健康衰老（auc = 0.67-0.73），两种方法的灵敏度均未达到70%以上。与单独的MMSE评分相比，脑电图与MMSE评分的结合没有额外的益处。这是首次直接比较EEG和sMRI对AD和aMCI的分类。
Alzheimer’s disease (AD) is the leading cause of dementia, accounting for 70% of cases worldwide. By 2050, dementia prevalence will have tripled, with most new cases occurring in low- and middle-income countries. Mild cognitive impairment (MCI) is a stage between healthy aging and dementia, marked by cognitive deficits that do not impair daily living. People with MCI are at increased risk of dementia, with an average progression rate of 39% within 5 years. There is urgent need for low-cost, accessible and objective methods to facilitate early dementia detection. Electroencephalography (EEG) has potential to address this need due to its low cost and portability. Here, we collected resting state EEG, structural MRI (sMRI) and rich neuropsychological data from older adults (55+ years) with AD, amnestic MCI (aMCI) and healthy controls (~60 per group). We evaluated a range of candidate EEG markers (i.e., frequency band power and functional connectivity) for AD and aMCI classification and compared their performance with sMRI. We also tested a combined EEG and cognitive classification model (using Mini-Mental State Examination; MMSE). sMRI outperformed resting state EEG at classifying AD (AUCs = 1.00 vs 0.76, respectively). However, both EEG and sMRI were only moderately good at distinguishing aMCI from healthy aging (AUCs = 0.67–0.73), and neither method achieved sensitivity above 70%. The addition of EEG to MMSE scores had no added benefit relative to MMSE scores alone. This is the first direct comparison of EEG and sMRI for classification of AD and aMCI.