Brain-computer interfaces for EEG neurofeedback: peculiarities and solutions

René J Huster, Zacharais N Mokom, Stefanie Enriquez-Geppert, Christoph S Herrmann

Onderzoeksoutput: ArticleAcademicpeer review

36 Citaten (Scopus)


Neurofeedback training procedures designed to alter a person's brain activity have been in use for nearly four decades now and represent one of the earliest applications of brain-computer interfaces (BCI). The majority of studies using neurofeedback technology relies on recordings of the electroencephalogram (EEG) and applies neurofeedback in clinical contexts, exploring its potential as treatment for psychopathological syndromes. This clinical focus significantly affects the technology behind neurofeedback BCIs. For example, in contrast to other BCI applications, neurofeedback BCIs usually rely on EEG-derived features with only a minimum of additional processing steps being employed. Here, we highlight the peculiarities of EEG-based neurofeedback BCIs and consider their relevance for software implementations. Having reviewed already existing packages for the implementation of BCIs, we introduce our own solution which specifically considers the relevance of multi-subject handling for experimental and clinical trials, for example by implementing ready-to-use solutions for pseudo-/sham-neurofeedback.

Originele taal-2English
Pagina's (van-tot)36-45
Aantal pagina's10
TijdschriftInternational Journal of Psychophysiology
Nummer van het tijdschrift1
StatusPublished - jan-2014
Extern gepubliceerdJa

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