This website hosts the videos which were captured live during the

MYOPAIN 2017 congress.


Though research in the field of muscle pain is growing rapidly, most of the theories regarding pathophysiology are still not well explained and debatable. This world congress is aimed to review the current basic science research, mechanisms, laboratory findings supporting the theories, human and animal experiment models, assessment and clinical applications, treatment modalities and prognosis of muscle pain. This aim will be accomplished by exploring and elucidating the mechanisms in muscle pain, various muscle nociceptors and their properties, sensitization
at different levels, animal studies and human experimental studies, sequelae in brain due to chronicity, assessment and effective treatment of muscle pain. It would provide a much-needed platform for basic science researchers and practicing clinicians to share the current research about muscle pain, eventually leading to improved clinical outcomes in patients with muscle pain.


Upon completion of the congress, the participants will be able to
• Understand the current models regarding mechanisms of muscle pain.
• Learn about various muscle nociceptors.
• Understand about sensitization of nociceptors, modulation in muscle spindle activity, sensitization at spinal cord and higher level.
• Understand the neurophysiology and role of biochemical mediators in muscle pain.
• Understand the neural and psychobiological mechanisms of muscle pain.
• Know about animal models and laboratory studies on muscle pain.
• Understand muscle hyperalgesia, referral patterns, muscle tone and strength in relation to muscle pain, muscle fatigue and its role in muscle pain.
• Understand the relation between exercise and muscle pain.
• Understand the changes in brain due to chronic muscle pain.
• Know about various standardized, valid physical and subjective measurement tools that are used in muscle pain.
• Know about various novel treatment approaches in management of muscle pain and thereby design an appropriate treatment algorithm.