Cui Yidan, Lv Chen, Yan Wenjian, Zhang Lidan, Sun Ning, Zhang Xin, Zhong Zhen
College of Acupuncture and Massage, Changchun University of Chinese Medicine, Changchun, Jilin, China.
Front Neurosci. 2025 Jun 3;19:1616973. doi: 10.3389/fnins.2025.1616973. eCollection 2025.
OBJECTIVE: Neuropathic pain (NP), a prevalent chronic condition with increasing global incidence, mainly relies on electrophysiology (EP) to decode its mechanisms. However, existing research lacks systematic integration, failing to track hotspots and frontiers effectively. In this study, we used bibliometric analysis and systematic review to clarify technological breakthrough directions and facilitate the development of electrophysiological phenotype-based precision diagnostics. METHODS: Literature was retrieved from the Web of Science Core Collection (WoSCC). A total of 2,234 reviews and articles were obtained from 2005 to 2024. Statistics and visualization analysis were performed using Bibliometrix (R), VOSviewer, CiteSpace, and Microsoft Excel 2024. RESULTS: Publications and citations in this field are rising. The USA leads in publications (613, 27.44%) and academic impact (H-index = 96). China's academic impact remains behind when compared to other countries. North American and Western European institutions form robust collaboration networks, whereas Asian institutions exhibit weaker regional partnerships. Authors with high production, such as Khanna, Rajesh and Waxman, Stephen G, and highly cited authors such as Woolf, CJ play a key leading role in the development of the field. Journals like Pain and Journal of Neuroscience are the cardinal dissemination mediums. Keyword analysis reveals research hotspot expands from the basic structure of "dorsal root ganglion" and" sensory neuron" to pain-related dynamic changes and disease prevalence characteristics. "Plasticity" and "connectivity" signaled a shift in research toward network mechanisms and precise interventions. "Woolf CJ, 2011" and "Dib-Hajj SD, 2010" have high citation and co-citation frequencies. The emergence of new directions such as "dynamic pain connectome" and "computational modeling research" reflects the trend of multidisciplinary integration. CONCLUSION: For the first time, we have constructed a complete lineage from basic research to clinical translation in this field, confirming the key role of EP technology in analyzing the mechanism of nociceptive sensitization, neuroplasticity, and neural network connectivity reconfiguration, which provides a basis for developing precise diagnostic and therapeutic solutions based on electrophysiological phenotypes. Future research should focus on technology standardization, cross-institutional data sharing, clinical translation, and connectomics-oriented individualized analgesic strategies to promote NP diagnosis and treatment toward precision, dynamics, and systematization.
目的:神经病理性疼痛(NP)是一种全球发病率不断上升的常见慢性疾病,主要依靠电生理学(EP)来解读其机制。然而,现有研究缺乏系统整合,未能有效追踪热点和前沿。在本研究中,我们使用文献计量分析和系统评价来明确技术突破方向,并促进基于电生理表型的精准诊断发展。 方法:从科学网核心合集(WoSCC)检索文献。2005年至2024年共获得2234篇综述和文章。使用Bibliometrix(R)、VOSviewer、CiteSpace和Microsoft Excel 2024进行统计和可视化分析。 结果:该领域的出版物和引用量呈上升趋势。美国在出版物数量(613篇,27.44%)和学术影响力(H指数=96)方面领先。与其他国家相比,中国的学术影响力仍落后。北美和西欧机构形成了强大的合作网络,而亚洲机构的区域伙伴关系较弱。高产作者如Khanna、Rajesh和Waxman、Stephen G,以及高被引作者如Woolf、CJ在该领域的发展中发挥了关键引领作用。《疼痛》和《神经科学杂志》等期刊是主要的传播媒介。关键词分析表明,研究热点从“背根神经节”和“感觉神经元”的基本结构扩展到与疼痛相关的动态变化和疾病流行特征。“可塑性”和“连接性”标志着研究向网络机制和精准干预的转变。“Woolf CJ,2011”和“Dib-Hajj SD,2010”的引用和共被引频率较高。“动态疼痛连接组”和“计算建模研究”等新方向的出现反映了多学科整合的趋势。 结论:我们首次构建了该领域从基础研究到临床转化的完整脉络,证实了EP技术在分析伤害性感受敏化、神经可塑性和神经网络连接重构机制中的关键作用,为基于电生理表型开发精准诊断和治疗方案提供了依据。未来研究应聚焦于技术标准化、跨机构数据共享、临床转化以及面向连接组学的个体化镇痛策略,以推动NP诊断和治疗向精准化、动态化和系统化发展。
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