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定量脑电图标志物对额颞叶痴呆的准确诊断:频谱功率比方法。

Quantitative Electroencephalography Markers for an Accurate Diagnosis of Frontotemporal Dementia: A Spectral Power Ratio Approach.

机构信息

Korean Minjok Leadership Academy, Hoengseong 25268, Republic of Korea.

College of Medicine, Catholic University of Korea, Seoul 06591, Republic of Korea.

出版信息

Medicina (Kaunas). 2023 Dec 13;59(12):2155. doi: 10.3390/medicina59122155.

DOI:10.3390/medicina59122155
PMID:38138258
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10744364/
Abstract

: Frontotemporal dementia (FTD) is the second most common form of presenile dementia; however, its diagnosis has been poorly investigated. Previous attempts to diagnose FTD using quantitative electroencephalography (qEEG) have yielded inconsistent results in both spectral and functional connectivity analyses. This study aimed to introduce an accurate qEEG marker that could be used to diagnose FTD and other neurological abnormalities. : We used open-access electroencephalography data from OpenNeuro to investigate the power ratio between the frontal and temporal lobes in the resting state of 23 patients with FTD and 29 healthy controls. Spectral data were extracted using a fast Fourier transform in the delta (0.5 ≤ 4 Hz), theta (4 ≤ 8 Hz), alpha (8-13 Hz), beta (>13-30 Hz), and gamma (>30-45 Hz) bands. : We found that the spectral power ratio between the frontal and temporal lobes is a promising qEEG marker of FTD. Frontal (F)-theta/temporal (T)-alpha, F-alpha/T-theta, F-theta/F-alpha, and T-beta/T-gamma showed a consistently high discrimination score for the diagnosis of FTD for different parameters and referencing methods. : The study findings can serve as reference for future research focused on diagnosing FTD and other neurological anomalies.

摘要

额颞叶痴呆(FTD)是第二常见的早发性痴呆症;然而,其诊断一直未得到充分研究。先前使用定量脑电图(qEEG)诊断 FTD 的尝试在频谱和功能连接分析中均产生了不一致的结果。本研究旨在引入一种准确的 qEEG 标志物,用于诊断 FTD 和其他神经异常。

我们使用 OpenNeuro 的公开脑电图数据,研究了 23 名 FTD 患者和 29 名健康对照者在静息状态下额叶和颞叶之间的功率比。使用快速傅里叶变换提取 delta(0.5≤4Hz)、theta(4≤8Hz)、alpha(8-13Hz)、beta(>13-30Hz)和 gamma(>30-45Hz)频段的频谱数据。

我们发现,额叶和颞叶之间的频谱功率比是 FTD 的一种有前途的 qEEG 标志物。额叶(F)-theta/颞叶(T)-alpha、F-alpha/T-theta、F-theta/F-alpha 和 T-beta/T-gamma 显示出对 FTD 诊断的高区分评分,适用于不同的参数和参考方法。

研究结果可作为未来专注于诊断 FTD 和其他神经异常的研究的参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b605/10744364/8e9bb49e079e/medicina-59-02155-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b605/10744364/a1f07fe46ecc/medicina-59-02155-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b605/10744364/e0cbb8085f80/medicina-59-02155-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b605/10744364/6ee302268465/medicina-59-02155-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b605/10744364/5a70052934f6/medicina-59-02155-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b605/10744364/4c0bd06683f5/medicina-59-02155-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b605/10744364/8e9bb49e079e/medicina-59-02155-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b605/10744364/a1f07fe46ecc/medicina-59-02155-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b605/10744364/e0cbb8085f80/medicina-59-02155-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b605/10744364/6ee302268465/medicina-59-02155-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b605/10744364/5a70052934f6/medicina-59-02155-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b605/10744364/4c0bd06683f5/medicina-59-02155-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b605/10744364/8e9bb49e079e/medicina-59-02155-g006.jpg

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