Brain Workshop demonstrates the convergence of scientific disciplines
14 speakers represented a range of disciplines from medical sciences, neuroscience, and biology to engineering, physics and mathematics. Areas of focus included modelling of brain tissue, normal and abnormal brain development and the impact of traumatic brain injury. Over 70 delegates attended the workshop, the second of the series, sharing ideas and beginning the critical process of collaboration.
The workshop was organised by the newly founded International Brain Mechanics and Trauma Lab (IBMTL) with the support of the Oxford Centre Collaborative Applied Mathematics (OCCAM). IBMTL is an international collaboration on projects related to brain mechanics and trauma based in Oxford. This multidisciplinary team is motivated by the need to study brain cell and tissue mechanics and its relation with brain functions, diseases or trauma.
The speakers were as follow
Professor Gerhard Holzapfel (Graz University of Technology), Professor Ellen Kuhl (Stanford University), Dr Peter Stewart (University of Glasgow) and Dr Jeremiah Murphy (Dublin City University) talked about their research on the characterization and mathematical modelling of brain tissue.
Dr Waney Squier (Oxford University Hospitals), Dr David Edwards (Kings College London), Dr Jay Jayamohan (JR Hospital, Oxford) and Dr Nick de Pennington (Oxford University Hospitals) shared their invaluable clinical experiences and research on normal and abnormal human brain development and personalised neurosurgery.
Professor Lee Goldstein (Boston University), Professor Anthony Bull (Imperial College London), Professor Riyi Shi (Purdue University) and Professor Fernando Maestu (Complutense University of Madrid) presented their traumatic brain injury studies from different perspectives, such as acute injury, chronic sequelae, investigation of CNS injury, and reorganization of functional brain networks in traumatic brain injury.
Dr Stephen Payne (University of Oxford) and Dr Ferath Kherif (Centre Hospitalier Universitaire Vaudois) showed their great efforts on bridging the gap between mathematical models/ new data mining technologies and clinical practice.