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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.

Original publication

DOI

10.1016/j.ijpsycho.2013.10.004

Type

Journal article

Journal

Int J Psychophysiol

Publication Date

01/2014

Volume

91

Pages

10 - 15

Keywords

BCI, Brain computer interface, MI, Mobile EEG, Motor imagery, Neurofeedback, Neurological rehabilitation, Wireless EEG, Electroencephalography, Evoked Potentials, Humans, Imagery (Psychotherapy), Mobile Applications, Nervous System Diseases, User-Computer Interface