title: Mobile EEG and its potential to promote the theory and application of imagery-based motor rehabilitation.
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.
authors.affiliation: Neuropsychology Lab, Department of Psychology, European Medical School, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany; Neurosensory Science Research Group, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany.
authors.forename: Cornelia
authors.initials: C
authors.lastname: Kranczioch
authors.affiliation: Neuropsychology Lab, Department of Psychology, European Medical School, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany.
authors.forename: Catharina
authors.initials: C
authors.lastname: Zich
authors.affiliation: Neuropsychology Lab, Department of Psychology, European Medical School, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany.
authors.forename: Irina
authors.initials: I
authors.lastname: Schierholz
authors.affiliation: Brain and Behavior Research Group, School of Psychology, University of Surrey, Guildford, UK. Electronic address: a.sterr@surrey.ac.uk.
authors.forename: Annette
authors.initials: A
authors.lastname: Sterr
mesh_terms: D004569:Electroencephalography; D005071:Evoked Potentials / Q000502:physiology; D006801:Humans; D019018:Imagery, Psychotherapy / Q000295:instrumentation* / Q000379:methods*; D063731:Mobile Applications; D009422:Nervous System Diseases / Q000503:physiopathology / Q000534:rehabilitation*; D014584:User-Computer Interface
keywords: BCI; Brain computer interface; MI; Mobile EEG; Motor imagery; Neurofeedback; Neurological rehabilitation; Wireless EEG