癫痫伴焦虑抑郁患者静息状态脑电图功率谱定量分析。

IF 1.2 Q4 CLINICAL NEUROLOGY
Hongxing Chen, Juan Yang, Bo Zhang, Lijia Zhang, Jing Wang, Haiqing Zhang, Hongwei Zhang, Changyin Yu, Jun Zhang, Zucai Xu
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引用次数: 0

摘要

背景:癫痫是临床上常见的伴有焦虑和抑郁的疾病之一,严重影响其生活质量,增加其自杀倾向,而焦虑和抑郁的筛查目前缺乏客观的标识。本研究旨在利用静息脑电图数据分析癫痫伴发焦虑和抑郁患者的脑电图功率谱特征。方法:在标准条件下采集癫痫伴焦虑抑郁患者(n = 42)和无伴焦虑抑郁患者(n = 45)的静息脑电图数据。利用EEGLAB和MATLAB进行数据处理,计算脑电功率。本研究比较了两组间δ、θ、α、β、γ频段的绝对功率和相对功率,以及(δ + θ)/(α + β)值。分析各频带脑电功率与焦虑抑郁评分的相关性。结果:1)癫痫合并焦虑、抑郁患者特定部位δ、α、θ的绝对功率较低(P < 0.05)。3)抑郁评分与T3和T4部位θ绝对功率呈负相关(P)。结论:焦虑和抑郁共病可能影响癫痫患者静息脑电图功率谱,特别是在网络连接改变的区域。此外,焦虑和抑郁评分与右侧中央和右侧后颞区的β相对功率呈正相关,表明潜在的筛查效用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitative analysis of the resting-state EEG power spectrum in patients with epilepsy comorbid with anxiety and depression.

Background: Epilepsy is one of the common clinical disorders with comorbid anxiety and depression that severely affects their quality of life and increases their suicidality, while screening for anxiety and depression currently lacks objective identifiers. This study aimed to analyze the characteristics of the electroencephalogram (EEG) power spectrum in patients with epilepsy with comorbid anxiety and depression, utilizing resting EEG data.

Methods: Resting EEG data were collected under standard conditions from two groups: patients with epilepsy comorbid with anxiety and depression (n = 42) and patients without comorbidities (n = 45). EEG power was calculated using data processing with EEGLAB and MATLAB. This study compared the absolute and relative powers of the δ, θ, α, β, and γ frequency bands, as well as the values of (δ + θ)/(α + β), between the two groups. Additionally, the correlation between the EEG power of each frequency band and anxiety and depression scores was analyzed.

Results: 1) Among individuals with epilepsy comorbid with anxiety and depression, lower absolute power of δ, α, and θ at specific sites was observed (P < 0.05), along with lower relative power of θ at certain sites (P < 0.05). Conversely, higher relative power of β and γ at specific sites was noted in those with comorbidities (P < 0.05). 2) There was no statistically significant difference in the values of (δ + θ)/(α + β) between the two groups (P > 0.05). 3) Depression scores exhibited a negative correlation with θ absolute power at the T3 and T4 sites (P < 0.05), while showing a positive correlation with β relative power at the C4 and T6 sites (P < 0.05). Anxiety scores displayed a positive correlation with β relative power at the F4, C3, C4 and T6 sites and γ relative power at F8 site (P < 0.05).

Conclusions: The findings suggest that comorbid anxiety and depression may impact resting EEG power spectra in individuals with epilepsy, particularly in regions exhibiting altered network connectivity. Furthermore, a positive correlation was observed between anxiety and depression scores and β relative power in the right central and right posterior temporal regions, indicating potential screening utility.

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来源期刊
Acta Epileptologica
Acta Epileptologica Medicine-Neurology (clinical)
CiteScore
2.00
自引率
0.00%
发文量
38
审稿时长
20 weeks
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