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脑电图可通过视觉和自动分析方法全面描绘神经退行性痴呆的脑功能障碍:一项初步研究

Electroencephalography can Ubiquitously Delineate the Brain Dysfunction of Neurodegenerative Dementia by Both Visual and Automatic Analysis Methods: A Preliminary Study.

作者信息

Sato Kei, Hitomi Takefumi, Kobayashi Katsuya, Matsuhashi Masao, Shimotake Akihiro, Kuzuya Akira, Kinoshita Ayae, Matsumoto Riki, Takechi Hajime, Sugi Takenao, Nishida Shigeto, Takahashi Ryosuke, Ikeda Akio

机构信息

Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto, Japan.

Department of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.

出版信息

Clin EEG Neurosci. 2025 Mar;56(2):185-196. doi: 10.1177/15500594241283512. Epub 2024 Oct 3.

Abstract

The aim was to examine the differences in electroencephalography (EEG) findings by visual and automated quantitative analyses between Alzheimer's disease (AD) and dementia with Lewy bodies (DLB) and Parkinson's disease with dementia (PDD). EEG data of 20 patients with AD and 24 with DLB/PDD (12 DLB and 12 PDD) were retrospectively analyzed. Based on the awake EEG, the posterior dominant rhythm frequency and proportion of patients who showed intermittent focal and diffuse slow waves (IDS) were visually and automatically compared between the AD and DLB/PDD groups. On visual analysis, patients with DLB/PDD showed a lower PDR frequency than patients with AD. In patients with PDR <8 Hz and occipital slow waves or patients with PDR <8 Hz and IDS, DLB/PDD was highly suspected (PPV 100%) and AD was unlikely (PPV 0%). On automatic analysis, the findings of the PDR were similar to those on visual analysis. Comparisons between visual and automatic analysis showed an overlap in the focal slow wave commonly detected by both methods in 10 of 44 patients, and concordant presence or absence of IDS in 29 of 43 patients. With respect to PDR <8 Hz and the combination of PDR <8 Hz and IDS, PPV and NPV in DLB/PDD and AD were not different between visual and automatic analysis. As the noninvasive, widely available clinical tool of low expense, visual analysis of EEG findings provided highly sufficient information to delineate different brain dysfunction in AD and DLB/PDD, and automatic EEG analysis could support visual analysis especially about PD.

摘要

目的是通过视觉和自动定量分析,研究阿尔茨海默病(AD)、路易体痴呆(DLB)和帕金森病痴呆(PDD)之间脑电图(EEG)结果的差异。回顾性分析了20例AD患者和24例DLB/PDD患者(12例DLB和12例PDD)的EEG数据。基于清醒EEG,在AD组和DLB/PDD组之间,通过视觉和自动方式比较了后头部优势节律频率以及出现间歇性局灶性和弥漫性慢波(IDS)的患者比例。在视觉分析中,DLB/PDD患者的PDR频率低于AD患者。在PDR<8 Hz且有枕部慢波的患者或PDR<8 Hz且有IDS的患者中,高度怀疑为DLB/PDD(阳性预测值100%),而AD的可能性不大(阳性预测值0%)。在自动分析中,PDR的结果与视觉分析相似。视觉分析和自动分析的比较显示,在44例患者中的10例中,两种方法共同检测到的局灶性慢波存在重叠,在43例患者中的29例中,IDS的有无一致。对于PDR<8 Hz以及PDR<8 Hz与IDS的组合,DLB/PDD和AD在视觉分析和自动分析中的阳性预测值和阴性预测值没有差异。作为一种无创、广泛可用且费用低廉的临床工具,EEG结果的视觉分析为区分AD和DLB/PDD中不同的脑功能障碍提供了足够的信息,而自动EEG分析可以支持视觉分析,尤其是关于帕金森病的分析。

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