Numerous studies have confirmed the analgesic effect of M1-rTMS on both induced pain and various chronic pains and subsequently found that pcTBS is more time-efficient and can produce the same or even stronger analgesic effect, however, its study in pathological pain h has not been thoroughly investigated. Due to the dynamic nature of the injury sensory system, pain also exhibits a dynamic process, but there is a lack of specific methods or biomarkers to document this process. Surface electromyography (EMG) is a common technique used in rTMS studies to reflect changes in cortical excitability. In turn, both pain and rTMS interventions can cause changes and thus can be used as a potential biomarker to predict pain onset and progression. In addition, the number of sessions of rTMS treatment is an important factor influencing the analgesic effect of rTMS. In summary, this study intends to explore the best pain predictor by using a capsaicin-induced pain model in healthy volunteers, monitor the dynamic changes of cortical excitability index and VAS score before and after pcTBS intervention, and also verify the relationship between the number of pcTBS treatments and analgesic effect, to provide a new strategy for the prevention and treatment of neuropathic pain.
Age range
18 Years – 65 Years
Sex
ALL
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change of pain intensity
Timeframe: through study completion, an average of 6 months