Mobile EEG and its potential to promote the theory and application of imagery-based motor rehabilitation

Int J Psychophysiol. 2014 Jan;91(1):10-5. doi: 10.1016/j.ijpsycho.2013.10.004. Epub 2013 Oct 18.

Abstract

Studying the brain in its natural state remains a major challenge for neuroscience. Solving this challenge would not only enable the refinement of cognitive theory, but also provide a better understanding of cognitive function in the type of complex and unpredictable situations that constitute daily life, and which are often disturbed in clinical populations. With mobile EEG, researchers now have access to a tool that can help address these issues. In this paper we present an overview of technical advancements in mobile EEG systems and associated analysis tools, and explore the benefits of this new technology. Using the example of motor imagery (MI) we will examine the translational potential of MI-based neurofeedback training for neurological rehabilitation and applied research.

Keywords: BCI; Brain computer interface; MI; Mobile EEG; Motor imagery; Neurofeedback; Neurological rehabilitation; Wireless EEG.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Electroencephalography*
  • Evoked Potentials / physiology
  • Humans
  • Imagery, Psychotherapy / instrumentation*
  • Imagery, Psychotherapy / methods*
  • Mobile Applications*
  • Nervous System Diseases / physiopathology
  • Nervous System Diseases / rehabilitation*
  • User-Computer Interface