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首页> 外文期刊>Clinical EEG and neuroscience: official journal of the EEG and Clinical Neuroscience Society (ENCS) >A Promising Method to Distinguish Vascular Dementia From Alzheimer's Disease With Standardized Low-Resolution Brain Electromagnetic Tomography and Quantitative EEG
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A Promising Method to Distinguish Vascular Dementia From Alzheimer's Disease With Standardized Low-Resolution Brain Electromagnetic Tomography and Quantitative EEG

机译:标准化的低分辨率脑电磁层析成像和定量脑电图鉴别血管性痴呆与阿尔茨海默氏病的一种有前途的方法

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In clinical settings, it is difficult to distinguish Alzheimer's disease (AD) from vascular dementia (VD). The present study summarizes a clinical method to distinguish VD and AD at the early stage of the diseases. This study evaluated the possibility of differentiating 25 VD, 25 AD, and 25 healthy individuals (control, CN) by means of power spectral analysis and standardized low-resolution brain electromagnetic tomography (sLORETA) within alpha I, alpha 2, beta I, beta 2, delta, and theta frequency bands. Electroencephalogram (EEG) spectral analysis and sLORETA indicated that higher diffuse delta/theta and lower central/ posterior fast frequency bands were present in AD compared with CN. VD showed diffuse increased theta power compared with CN and lower delta than AD. AD also presented diffuse higher theta on spectral analysis and decreased alpha 2 and beta I values in central/temporal regions by sLORETA. Mini Mental State Examination (MMSE) scores were significantly associated with frontal alpha I sLORETA solutions (r = 0.91616, P < .001) and relative power (r = 0.87322, P < .01) in AD, but no correlations were found in VD. In conclusion, EEG spectral and sLORETA together could be a tool to distinguish the different EEG rhythmic activities in AD and VD.
机译:在临床环境中,很难将阿尔茨海默氏病(AD)与血管性痴呆(VD)区分开。本研究总结了一种在疾病早期区分VD和AD的临床方法。这项研究评估了通过功率谱分析和标准化的低分辨率脑电磁层析成像(sLORETA)在αI,α2,βI,β中区分25个VD,25个AD和25个健康个体(对照,CN)的可能性2,Δ和θ频带。脑电图(EEG)频谱分析和sLORETA表明,与CN相比,AD中存在较高的弥散delta /θ和较低的中心/后快速频带。 VD显示与CN相比,弥散增加的theta功率,而与AD相比,δ更低。 AD还通过光谱分析显示了较高的theta扩散,并且通过sLORETA在中部/颞部区域降低了alpha 2和beta I值。迷你精神状态检查(MMSE)评分与额叶I I sLORETA解决方案(r = 0.91616,P <.001)和相对能力(r = 0.87322,P <.01)显着相关,但在VD中未发现相关性。总之,脑电波频谱和sLORETA一起可以成为区分AD和VD中不同脑电节律活动的工具。

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