The Investigation of the Relationship Between Individual Pain Perception, Brain Electrical Activity, and Facial Expression Based on Combined EEG and Facial EMG Analysis.

IF 2.5 3区 医学 Q2 CLINICAL NEUROLOGY Journal of Pain Research Pub Date : 2025-01-03 eCollection Date: 2025-01-01 DOI:10.2147/JPR.S477658
Chaozong Ma, Chenxi Wang, Dan Zhu, Mingfang Chen, Ming Zhang, Juan He
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Abstract

Purpose: Pain is a multidimensional, unpleasant emotional and sensory experience, and accurately assessing its intensity is crucial for effective management. However, individuals with cognitive impairments or language deficits may struggle to accurately report their pain. EEG provides insight into the neurological aspects of pain, while facial EMG captures the sensory and peripheral muscle responses. Our objective is to explore the relationship between individual pain perception, brain activity, and facial expressions through a combined analysis of EEG and facial EMG, aiming to provide an objective and multidimensional approach to pain assessment.

Methods: We investigated pain perception in response to electrical stimulation of the middle finger in 26 healthy subjects. The 32-channel EEG and 3-channel facial EMG signals were simultaneously recorded during a pain rating task. Group difference and correlation analysis were employed to investigate the relationship between individual pain perception, EEG, and facial EMG. The general linear model (GLM) was used for multidimensional pain assessment.

Results: The EEG analysis revealed that painful stimuli induced N2-P2 complex waveforms and gamma oscillations, with substantial variability in response to different stimuli. The facial EMG signals also demonstrated significant differences and variability correlated with subjective pain ratings. A combined analysis of EEG and facial EMG data using a general linear model indicated that both N2-P2 complex waveforms and the zygomatic muscle responses significantly contributed to pain assessment.

Conclusion: Facial EMG signals provide pain descriptions which are not sufficiently captured by EEG signals, and integrating both signals offers a more comprehensive understanding of pain perception. Our study underscores the potential of multimodal neurophysiological measurements in pain perception, offering a more comprehensive framework for evaluating pain.

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基于脑电和面肌电联合分析的个体疼痛感知、脑电活动和面部表情关系研究。
目的:疼痛是一种多维度的、不愉快的情绪和感官体验,准确评估其强度对有效管理至关重要。然而,有认知障碍或语言缺陷的人可能很难准确地报告他们的疼痛。脑电图提供了对疼痛的神经学方面的洞察,而面部肌电图捕捉到感觉和周围肌肉的反应。我们的目的是通过脑电图和面部肌电图的结合分析,探索个体疼痛感知、大脑活动和面部表情之间的关系,旨在为疼痛评估提供客观、多维的方法。方法:对26名健康受试者中指电刺激后的疼痛感觉进行了研究。同时记录32通道脑电图和3通道面部肌电信号。采用组间差异及相关分析探讨个体疼痛感知与脑电图、面肌电图的关系。采用广义线性模型(GLM)进行多维疼痛评估。结果:脑电分析显示,疼痛刺激可诱发N2-P2复合波形和γ振荡,且对不同刺激的反应存在较大差异。面部肌电图信号也显示出与主观疼痛等级相关的显著差异和可变性。采用一般线性模型对脑电图和面肌电图数据进行综合分析,结果表明N2-P2复合波形和颧肌反应对疼痛评估有重要作用。结论:面部肌电信号提供了脑电信号无法充分捕获的疼痛描述,将两者结合起来可以更全面地理解疼痛感知。我们的研究强调了疼痛感知中多模态神经生理测量的潜力,为评估疼痛提供了更全面的框架。
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来源期刊
Journal of Pain Research
Journal of Pain Research CLINICAL NEUROLOGY-
CiteScore
4.50
自引率
3.70%
发文量
411
审稿时长
16 weeks
期刊介绍: Journal of Pain Research is an international, peer-reviewed, open access journal that welcomes laboratory and clinical findings in the fields of pain research and the prevention and management of pain. Original research, reviews, symposium reports, hypothesis formation and commentaries are all considered for publication. Additionally, the journal now welcomes the submission of pain-policy-related editorials and commentaries, particularly in regard to ethical, regulatory, forensic, and other legal issues in pain medicine, and to the education of pain practitioners and researchers.
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