Acupuncture is effective for the management and treatment of pain related diseases. At present

the patients' subjective evaluations were often used to measure the effect of acupuncture analgesia in clinical research

but it lacks objectivity and accuracy. In recent years

some studies had tried to analyze the magnetic resonance images of patients' brains using magne-tic resonance imaging and machine learning methods before and after acupuncture intervention

so as to identify specific neural markers. These markers not only helped explain the brain mechanism of acupuncture analgesia

but also provided objective indicators for the analgesic effect of acupuncture. This article analyzes the significance and feasibility of pain biomarkers research based on magnetic resonance imaging and machine learning technology

summarizes its research status in acupuncture analgesia

and makes suggestions in the future study.