Relation between heart rate variability and spectral analysis of electroencephalogram in chronic neuropathic pain patients.

IF 1.6 4区 医学 Q3 PHARMACOLOGY & PHARMACY
John Rajan, Girwar Singh Gaur, Karthik Shanmugavel, Adinarayanan S
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引用次数: 0

Abstract

Chronic neuropathic pain (CNP) is a complex condition often arising from neural maladaptation after nerve injury. Understanding CNP complications involves the intricate interplay between brain-heart dynamics, assessed through quantitative electroencephalogram (qEEG) and heart rate variability (HRV). However, insights into their interaction in chronic pain are limited. Resting EEG and simultaneous electrocardiogram (lead II) of the participants were recorded for qEEG and HRV analysis. Correlations between HRV and qEEG parameters were calculated and compared with age, sex, and body mass index (BMI)-matched controls. CNP patients showed reduced HRV and significant increases in qEEG power spectral densities within delta, theta, and beta frequency ranges. A positive correlation was found between low frequency/ high frequency (LF/HF) ratio in HRV analysis and theta, alpha, and beta frequency bands in qEEG among CNP patients. However, no significant correlation was observed between parasympathetic indices and theta, beta bands in qEEG within CNP group, unlike age, sex, and BMI-matched healthy controls. CNP patients display significant HRV reductions and distinctive qEEG patterns. While healthy controls exhibit significant correlations between parasympathetic HRV parameters and qEEG spectral densities, these relationships are diminished or absent in CNP individuals. LF/HF ratio, reflecting sympathovagal balance, correlates significantly with qEEG frequency bands (theta, alpha, beta), illuminating autonomic dysregulation in CNP. These findings emphasize the intricate brain-heart interplay in chronic pain, warranting further exploration.

慢性神经病理性疼痛患者心率变异性与脑电图频谱分析之间的关系
慢性神经病理性疼痛(CNP)是一种复杂的疾病,通常是神经损伤后神经适应不良引起的。通过定量脑电图(qEEG)和心率变异性(HRV)评估,了解 CNP 的并发症涉及脑-心动态之间错综复杂的相互作用。然而,人们对它们在慢性疼痛中的相互作用了解有限。研究人员记录了参与者的静息脑电图和同步心电图(第二导联),以进行 qEEG 和 HRV 分析。计算心率变异和 qEEG 参数之间的相关性,并与年龄、性别和体重指数 (BMI) 匹配的对照组进行比较。CNP 患者的心率变异减弱,qEEG 功率谱密度在 delta、theta 和 beta 频率范围内显著增加。在 CNP 患者中,心率变异分析中的低频/高频(LF/HF)比率与 qEEG 中的θ、α 和β 频段呈正相关。然而,与年龄、性别和体重指数相匹配的健康对照组不同,在 CNP 组中,副交感神经指数与 qEEG 中的θ、β 频段之间没有观察到明显的相关性。CNP 患者显示出明显的心率变异性降低和独特的 qEEG 模式。健康对照组的副交感神经心率变异参数与 qEEG 频谱密度之间存在明显的相关性,而 CNP 患者的这些相关性减弱或消失。反映交感神经平衡的低频/高频比值与 qEEG 频段(θ、α、β)显著相关,揭示了 CNP 患者的自律神经失调。这些发现强调了慢性疼痛中错综复杂的脑-心相互作用,值得进一步探讨。
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来源期刊
Korean Journal of Physiology & Pharmacology
Korean Journal of Physiology & Pharmacology PHARMACOLOGY & PHARMACY-PHYSIOLOGY
CiteScore
3.20
自引率
5.00%
发文量
53
审稿时长
6-12 weeks
期刊介绍: The Korean Journal of Physiology & Pharmacology (Korean J. Physiol. Pharmacol., KJPP) is the official journal of both the Korean Physiological Society (KPS) and the Korean Society of Pharmacology (KSP). The journal launched in 1997 and is published bi-monthly in English. KJPP publishes original, peer-reviewed, scientific research-based articles that report successful advances in physiology and pharmacology. KJPP welcomes the submission of all original research articles in the field of physiology and pharmacology, especially the new and innovative findings. The scope of researches includes the action mechanism, pharmacological effect, utilization, and interaction of chemicals with biological system as well as the development of new drug targets. Theoretical articles that use computational models for further understanding of the physiological or pharmacological processes are also welcomed. Investigative translational research articles on human disease with an emphasis on physiology or pharmacology are also invited. KJPP does not publish work on the actions of crude biological extracts of either unknown chemical composition (e.g. unpurified and unvalidated) or unknown concentration. Reviews are normally commissioned, but consideration will be given to unsolicited contributions. All papers accepted for publication in KJPP will appear simultaneously in the printed Journal and online.
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