Abstract：
Previous studies using EEG (electroencephalography) as biomarker for dementia have attempted to research, but results have been inconsistent. Most of the studies have extremely small number of samples (average N = 15) and studies with large number of data do not have control group. We identified EEG features that may be biomarkers for dementia with 120 subjects (dementia 10, MCI 33, against control 77).
We recorded EEG from 120 patients with dementia as they stayed in relaxed state using a single-channel EEG device while conducting real-time noise reduction and compared them to healthy subjects. Differences in EEG between patients and controls, as well as differences in patients\' severity, were examined using the ratio of power spectrum at each frequency.
In comparing healthy controls and dementia patients, significant power spectrum differences were observed at 3 Hz, 4 Hz, and 10 Hz and higher frequencies. In patient group, differences in the power spectrum were observed between asymptomatic patients and healthy individuals, and between patients of each respective severity level and healthy individuals.
A study with a larger sample size should be conducted to gauge reproducibility, but the results implied the effectiveness of EEG in clinical practice as a biomarker of MCI (mild cognitive impairment) and/or dementia.
We recorded EEG from 120 patients with dementia as they stayed in relaxed state using a single-channel EEG device while conducting real-time noise reduction and compared them to healthy subjects. Differences in EEG between patients and controls, as well as differences in patients\' severity, were examined using the ratio of power spectrum at each frequency.
In comparing healthy controls and dementia patients, significant power spectrum differences were observed at 3 Hz, 4 Hz, and 10 Hz and higher frequencies. In patient group, differences in the power spectrum were observed between asymptomatic patients and healthy individuals, and between patients of each respective severity level and healthy individuals.
A study with a larger sample size should be conducted to gauge reproducibility, but the results implied the effectiveness of EEG in clinical practice as a biomarker of MCI (mild cognitive impairment) and/or dementia.
摘要：
以前使用EEG（脑电图）作为痴呆症生物标志物的研究试图研究，但是结果不一致。大多数研究具有极小数量的样本(平均N=15),并且具有大量数据的研究没有对照组。我们用120名受试者鉴定了可能是痴呆的生物标志物的EEG特征(痴呆10,MCI33,对照77)。
我们记录了120名痴呆症患者的EEG，他们使用单通道EEG设备保持放松状态，同时进行实时降噪，并将其与健康受试者进行比较。患者和对照组之间的脑电图差异，以及患者严重程度的差异，使用每个频率的功率谱比进行检查。
在比较健康对照组和痴呆患者时，在3Hz时观察到显著的功率谱差异，4Hz,和10赫兹和更高的频率。在患者组中,在无症状患者和健康个体之间观察到功率谱的差异，以及每个严重程度的患者和健康个体之间。
应进行样本量较大的研究，以测量再现性，但结果提示EEG在临床实践中作为MCI(轻度认知障碍)和/或痴呆的生物标志物的有效性.
我们记录了120名痴呆症患者的EEG，他们使用单通道EEG设备保持放松状态，同时进行实时降噪，并将其与健康受试者进行比较。患者和对照组之间的脑电图差异，以及患者严重程度的差异，使用每个频率的功率谱比进行检查。
在比较健康对照组和痴呆患者时，在3Hz时观察到显著的功率谱差异，4Hz,和10赫兹和更高的频率。在患者组中,在无症状患者和健康个体之间观察到功率谱的差异，以及每个严重程度的患者和健康个体之间。
应进行样本量较大的研究，以测量再现性，但结果提示EEG在临床实践中作为MCI(轻度认知障碍)和/或痴呆的生物标志物的有效性.
