The relation of fibromyalgia and fibromyalgia symptoms to self-reported seizures

Research Trends of Acupuncture Therapy on Fibromyalgia from 2000 to 2021: A Bibliometric Analysis

Purpose

Fibromyalgia Syndrome causes great physical and mental discomfort and incurs high costs. Acupuncture has been regarded as the mainstay of treatment for Fibromyalgia Syndrome while the bibliometric analysis of this field has not been summarized properly. Thus, the purpose of this study is to analyze the hotspot of acupuncture for Fibromyalgia Syndrome.

Methods

The core collection database of Web of Science were searched for relevant publications from 2000 to 2021, and countries, institutions, authors, keywords, and literature were analyzed and visualized by bibliometric software CiteSpace V software and Vosviewer software, to explore the scientific achievements, research collaboration networks, research hot spots, and research trends.

Results

868 publications were included in this study. The publications have increased steadily over time, and the type published the most is Article. Pain is the most cited journal. The most prolific country is the USA while the most prolific institution is Univ Michigan. The most prolific and influential authors were Yiwen Lin and Wolfe F respectively. The analysis of keywords and literature showed that long-term efficacy, animal studies, alternative medicine, and electroacupuncture will be the scientific hotspots in acupuncture for fibromyalgia.

Conclusion

This study shows that the number of research studies, researchers, and research institutions on acupuncture for fibromyalgia is increasing from year to year. Future research hotspots will focus on the long-term efficacy of acupuncture in the treatment of fibromyalgia, experimental animal studies, and the development of other alternative medical therapies. In addition, electroacupuncture is receiving more and more attention as a new application of traditional acupuncture therapy.

Fibromyalgia Detection Based on EEG Connectivity Patterns

Objective: The identification of a complementary test to confirm the diagnosis of FM. The diagnosis of fibromyalgia (FM) is based on clinical features, but there is still no consensus, so patients and clinicians might benefit from such a test. Recent findings showed that pain lies in neuronal bases (pain matrices) and, in the long term, chronic pain modifies the activity and dynamics of brain structures. Our hypothesis is that patients with FM present lower levels of brain activity and therefore less connectivity than controls. Methods: We registered the resting state EEG of 23 patients with FM and compared them with 23 control subjects’ resting state recordings from the PhysioBank database. We measured frequency, amplitude, and functional connectivity, and conducted source localization (sLORETA). ROC analysis was performed on the resulting data. Results: We found significant differences in brain bioelectrical activity at rest in all analyzed bands between patients and controls, except for Delta. Subsequent source analysis provided connectivity values that depicted a distinct profile, with high discriminative capacity (between 91.3–100%) between the two groups. Conclusions: Patients with FM show a distinct neurophysiological pattern that fits with the clinical features of the disease.