Journal article

Pathophysiological and cognitive mechanisms of fatigue in multiple sclerosis.

  • Manjaly ZM Department of Neurology, Schulthess Clinic, Zürich, Switzerland zina-mary.manjaly@kws.ch.
  • Harrison NA Department of Neuroscience, Brighton and Sussex Medical School, University of Sussex, Brighton, UK.
  • Critchley HD Department of Neuroscience, Brighton and Sussex Medical School, University of Sussex, Brighton, UK.
  • Do CT Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland.
  • Stefanics G Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland.
  • Wenderoth N Department of Health Sciences and Technology, ETH Zurich, Zürich, Switzerland.
  • Lutterotti A Department of Neurology, University Hospital Zurich, Zurich, Switzerland.
  • Müller A Department of Neurology, Schulthess Clinic, Zürich, Switzerland.
  • Stephan KE Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland.
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  • 2019-01-27
Published in:
  • Journal of neurology, neurosurgery, and psychiatry. - 2019
English Fatigue is one of the most common symptoms in multiple sclerosis (MS), with a major impact on patients' quality of life. Currently, treatment proceeds by trial and error with limited success, probably due to the presence of multiple different underlying mechanisms. Recent neuroscientific advances offer the potential to develop tools for differentiating these mechanisms in individual patients and ultimately provide a principled basis for treatment selection. However, development of these tools for differential diagnosis will require guidance by pathophysiological and cognitive theories that propose mechanisms which can be assessed in individual patients. This article provides an overview of contemporary pathophysiological theories of fatigue in MS and discusses how the mechanisms they propose may become measurable with emerging technologies and thus lay a foundation for future personalised treatments.
Language
  • English
Open access status
hybrid
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Persistent URL
https://sonar.ch/global/documents/98942
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