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癫痫合并焦虑和抑郁患者静息态脑电图功率谱的定量分析。

Quantitative analysis of the resting-state EEG power spectrum in patients with epilepsy comorbid with anxiety and depression.

作者信息

Chen Hongxing, Yang Juan, Zhang Bo, Zhang Lijia, Wang Jing, Zhang Haiqing, Zhang Hongwei, Yu Changyin, Zhang Jun, Xu Zucai

机构信息

Department of Neurology, Affiliated Hospital of Zunyi Medical University, Zunyi, 563003, China.

Department of Neurology, People's Hospital of Qianxinan Prefecture, Qianxinan, 562400, China.

出版信息

Acta Epileptol. 2025 Mar 31;7(1):22. doi: 10.1186/s42494-025-00206-6.

Abstract

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.

摘要

背景

癫痫是常见的临床疾病之一,常合并焦虑和抑郁,严重影响患者生活质量并增加自杀风险,而目前焦虑和抑郁的筛查缺乏客观指标。本研究旨在利用静息脑电图(EEG)数据,分析合并焦虑和抑郁的癫痫患者的脑电图功率谱特征。

方法

在标准条件下收集两组的静息EEG数据:合并焦虑和抑郁的癫痫患者(n = 42)和无合并症的患者(n = 45)。使用EEGLAB和MATLAB进行数据处理来计算EEG功率。本研究比较了两组之间δ、θ、α、β和γ频段的绝对功率和相对功率,以及(δ + θ)/(α + β)的值。此外,分析了每个频段的EEG功率与焦虑和抑郁评分之间的相关性。

结果

1)在合并焦虑和抑郁的癫痫患者中,观察到特定部位的δ、α和θ绝对功率较低(P < 0.05),某些部位的θ相对功率也较低(P < 0.05)。相反,合并症患者在特定部位的β和γ相对功率较高(P < 0.05)。2)两组之间(δ + θ)/(α + β)的值无统计学显著差异(P > 0.05)。3)抑郁评分与T3和T4部位的θ绝对功率呈负相关(P < 0.05),而与C4和T6部位的β相对功率呈正相关(P < 0.05)。焦虑评分与F4、C3、C4和T6部位的β相对功率以及F8部位的γ相对功率呈正相关(P < 0.05)。

结论

研究结果表明,合并焦虑和抑郁可能会影响癫痫患者的静息EEG功率谱,特别是在网络连接性改变的区域。此外,在右侧中央和右侧后颞区,焦虑和抑郁评分与β相对功率之间存在正相关,表明具有潜在的筛查效用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97bc/11956486/dc4da7bf312a/42494_2025_206_Fig1_HTML.jpg

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