How technology can boost upper limb rehabilitation outcomes

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Discover the latest evidence about upper limb rehabilitation presented by Prof. Andreas Luft, Medical Director at cereneo, Switzerland. Intensity, motivation, personalized therapy are key factors for motor learning after a neurological injury. Technology can support the clinicians to address these factors and boost rehabilitation outcomes. ​

In this webinar, Prof. Luft will discuss how:

  • Neurorehabilitative training therapies have limited effectiveness and there is a clear need for improvement.
  • Motivation through reward may be a mechanism that not only increases Training compliance and intensity but may also directly facilitate Motor skill consolidation through dopamine-driven Motor Cortex plasticity. Reward enhances procedural and motor skill learning as well as facilitates motor adaption.
  • As mechanisms of motor learning are also thought to play a role in motor recovery rehabilitative interventions, they may benefit from neuroplasticity enhanced by reward. We explore these mechanisms and potential implications for therapy.

Find out more in our free webinar!

Meet our host

Prof. Dr. med. Andreas Luft

Prof. Luft is a neurologist and clinical scientist, Professor at Zurich University and Medical Director at cereneo, Switzerland. He also runs the Stroke Centre at the University Hospital of Zurich.​ As the creator of the medical and scientific concept of cereneo, he is convinced that patients who have suffered a brain injury or a stroke need constant and empathetic support based on the latest clinical findings in order to make the best possible recovery.​

  • Degree in Human Medicine at Tubingen University, Germany (1991-1998)​
  • Training in Neurology at Johns Hopkins University, Baltimore, USA and Tubingen University, Germany (1998-2005)​
  • Assistant Professor for Clinical Neurorehabilitation at Zurich University (2008-2013)​
  • Professor for Vascular Neurology and Rehabilitation at Zurich University (since 2014)​
  • associated Professor at D-HEST at ETH Zurich (since June 2016)

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