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Weighted-Permutation Entropy Analysis of Resting State EEG from Diabetics with Amnestic Mild Cognitive Impairment

机译:轻度遗忘性认知障碍糖尿病患者静息状态脑电的加权置换熵分析

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Diabetes is a significant public health issue as it increases the risk for dementia and Alzheimer’s disease (AD). In this study, we aim to investigate whether weighted-permutation entropy (WPE) and permutation entropy (PE) of resting-state EEG (rsEEG) could be applied as potential objective biomarkers to distinguish type 2 diabetes patients with amnestic mild cognitive impairment (aMCI) from those with normal cognitive function. rsEEG series were acquired from 28 patients with type 2 diabetes (16 aMCI patients and 12 controls), and neuropsychological assessments were performed. The rsEEG signals were analysed using WPE and PE methods. The correlations between the PE or WPE of the rsEEG and the neuropsychological assessments were analysed as well. The WPE in the right temporal (RT) region of the aMCI diabetics was lower than the controls, and the WPE was significantly positively correlated to the scores of the Auditory Verbal Learning Test (AVLT) (AVLT-Immediate recall, AVLT-Delayed recall, AVLT-Delayed recognition) and the Wechsler Adult Intelligence Scale Digit Span Test (WAIS-DST). These findings were not obtained with PE. We concluded that the WPE of rsEEG recordings could distinguish aMCI diabetics from normal cognitive function diabetic controls among the current sample of diabetic patients. Thus, the WPE could be a potential index for assisting diagnosis of aMCI in type 2 diabetes.
机译:糖尿病是一个重大的公共卫生问题,因为它增加了痴呆症和阿尔茨海默氏病(AD)的风险。在这项研究中,我们旨在研究静息状态脑电图(rsEEG)的加权排列熵(WPE)和排列熵(PE)是否可用作潜在的客观生物标志物,以区分2型糖尿病轻度认知障碍(aMCI)患者)来自具有正常认知功能的人。 rsEEG系列来自28位2型糖尿病患者(16位aMCI患者和12位对照),并进行了神经心理学评估。使用WPE和PE方法分析rsEEG信号。还分析了rsEEG的PE或WPE与神经心理学评估之间的相关性。 aMCI糖尿病患者右颞(RT)区域的WPE低于对照组,并且WPE与听觉言语学习测验(AVLT)的得分呈显着正相关(AVLT即时记忆,AVLT延迟记忆, AVLT延迟识别)和韦氏成人智力量表数字跨度测试(WAIS-DST)。这些发现不是通过PE获得的。我们得出的结论是,在当前糖尿病患者样本中,rsEEG记录的WPE可以将aMCI糖尿病患者与正常认知功能糖尿病对照区分开。因此,WPE可能是辅助诊断2型糖尿病aMCI的潜在指标。

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