To book this webinar please click the link here 

Title: Persistent physical symptoms and the ‘predictive mind’: understanding and managing clinical complexity

Date: 24 June 2020

Time: 19:30 - 20:30

Cost: Free

Course leader: Professor Jorge Esteves


About the course

Brains predict and test their hypotheses against incoming sensory evidence rather than merely reacting to the world. Their predictions constitute internal models of the body in the world, which are constructed via Bayesian inferences constrained by sensory inputs, from which all perceptions and actions emerge (Barrett et al. 2016). Brains do more than merely filtering and making sense of their sensory input to using the body to sample and make sense of that input. Brains are therefore embodied - they talk to the environment through the body. Predictive processing models have implications for clinical practice. It has been recently proposed that to become truly patient-focused, medicine needs to go beyond the biopsychosocial perspective and embrace a symptom perception model which is underpinned by predictive processing. This would enable clinicians to evaluate what efficient courses of action may lead the brain to predict the body’s health (Van den Bergh et al, 2017; Ongaro and Kaptchuk, 2018).

Recently, Esteves and colleagues (2020) have argued that the recent developments in the fields of pain science and musculoskeletal care, which endorse “osteopathic” concepts of person-centred care, provide a unique window of opportunity for the development and dissemination of evidence-based models of osteopathic care, to foster a stronger professional identity and to the recognition of osteopathy as a mainstream healthcare discipline.

In this webinar, Professor Jorge Esteves will  introduce you to new research and concepts on the computational neuroscience model of predictive processing to enable you to critically understand clinical complexity in osteopathic and musculoskeletal practice. He will also propose an osteopathic clinical reasoning model which fuses the conceptual basis of osteopathy with predictive processing computational neuroscience models and the science of interoception, allostatic regulation and affective touch.

Learning outcomes

  • Critically appraise current models of osteopathic care
  • Developing a basic understanding of predictive processing models and their application to clinical practice
  • Critically understand clinical complexity in osteopathic and musculoskeletal practice thorough the predictive process lens


About the course leader

Jorge Esteves is an osteopath practising in Riyadh, Saudi Arabia. He is also an Honorary Professor at the University College of Osteopathy in London, Academic Director at MYO Osteopathy Academy in Riyadh, and researcher and member of the Board of Trustees with Collaboration for Osteopathic Medicine Research in Italy, and visiting professor at Camilo Cela University in Madrid.

To book this webinar please click the link here