带状疱疹后神经痛的神经振荡模式改变和功能连接:静息状态脑电图证据。

IF 2.5 Q2 CLINICAL NEUROLOGY
Frontiers in pain research (Lausanne, Switzerland) Pub Date : 2025-07-24 eCollection Date: 2025-01-01 DOI:10.3389/fpain.2025.1603345
Fei Gao, Mengru Wang, Huibin Jia, Georgi V Georgiev, Yi Feng, Wenxia Li
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引用次数: 0

摘要

带状疱疹后神经痛(PHN)是一种使人衰弱的慢性疼痛状况,严重影响生活质量,经常导致身体不适、情绪困扰和心理合并症,如抑郁和焦虑。本研究旨在利用静息状态脑电图(EEG)系统地评估PHN患者的神经振荡活动和功能连接模式。总共有21名PHN患者和17名健康对照者参加了这项研究。采集静息状态脑电图数据并进行分析。用功率谱密度分析比较频带活动,用相关分析检查脑电图功率与心理症状之间的关系。使用加权相位滞后指数评估功能连通性。功率谱密度分析显示,与对照组相比,PHN患者的δ、θ、α、β和γ频段的脑电图功率明显更高。相关分析表明,δ和θ频段功率与贝克抑郁量表得分呈正相关,δ频段功率与状态焦虑量表得分呈负相关。此外,功能连通性分析表明,PHN患者的伽马波段连通性降低,特别是在感觉运动和疼痛调节网络区域。这些发现表明,PHN的特征是神经回路普遍亢进,并伴有区域间交流中断。这些结果为PHN的神经生理机制提供了有价值的见解,并强调了开发靶向神经调节治疗以减轻疼痛和改善受影响个体心理健康的潜在生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Altered neural oscillation patterns and functional connectivity in postherpetic neuralgia: evidence from resting-state EEG.

Altered neural oscillation patterns and functional connectivity in postherpetic neuralgia: evidence from resting-state EEG.

Altered neural oscillation patterns and functional connectivity in postherpetic neuralgia: evidence from resting-state EEG.

Altered neural oscillation patterns and functional connectivity in postherpetic neuralgia: evidence from resting-state EEG.

Altered neural oscillation patterns and functional connectivity in postherpetic neuralgia: evidence from resting-state EEG.

Altered neural oscillation patterns and functional connectivity in postherpetic neuralgia: evidence from resting-state EEG.

Altered neural oscillation patterns and functional connectivity in postherpetic neuralgia: evidence from resting-state EEG.

Postherpetic neuralgia (PHN) is a debilitating chronic pain condition that significantly affects the quality of life, often leading to physical discomfort, emotional distress, and psychological comorbidities, such as depression and anxiety. This study aimed to systematically assess the neural oscillatory activity and functional connectivity patterns in patients with PHN using resting-state electroencephalography (EEG). Overall, 21 patients with PHN and 17 healthy controls participated in this study. Resting-state EEG data were collected and analyzed. Power spectrum density analysis was conducted to compare frequency band activity, and correlation analyses were used to examine associations between EEG power and psychological symptoms. Functional connectivity was assessed using the weighted phase lag index. Power spectrum density analysis revealed significantly higher EEG power across the delta, theta, alpha, beta, and gamma frequency bands in patients with PHN compared with controls. Correlation analyses indicated that delta and theta frequency band power were positively associated with the Beck Depression Inventory scores, whereas delta frequency band power was negatively correlated with the State Anxiety Inventory scores. Additionally, functional connectivity analysis demonstrated reduced gamma-band connectivity in patients with PHN, particularly in regions of the sensorimotor and pain modulation networks. These findings suggest that PHN is characterized by widespread hyperactivity in neural circuits, accompanied by disrupted interregional communication. These results provide valuable insights into the neurophysiological mechanisms underlying PHN and highlight potential biomarkers for developing targeted neuromodulatory treatments to alleviate pain and improve the psychological well-being of affected individuals.

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CiteScore
2.10
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