title: Using brain-computer interfaces to induce neural plasticity and restore function.
abstract: Analyzing neural signals and providing feedback in realtime is one of the core characteristics of a brain-computer interface (BCI). As this feature may be employed to induce neural plasticity, utilizing BCI technology for therapeutic purposes is increasingly gaining popularity in the BCI community. In this paper, we discuss the state-of-the-art of research on this topic, address the principles of and challenges in inducing neural plasticity by means of a BCI, and delineate the problems of study design and outcome evaluation arising in this context. We conclude with a list of open questions and recommendations for future research in this field.
authors: Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Spemannstrasse 38, 72076 Tübingen, Germany. moritzgw@ieee.org
authors: Moritz
authors: M
authors: Grosse-Wentrup
authors: Donatella
authors: D
authors: Mattia
authors: Karim
authors: K
authors: Oweiss
mesh_terms: D001676:Biofeedback, Psychology / Q000379:methods; D001921:Brain / Q000503:physiopathology*; D001931:Brain Mapping / Q000639:trends*; D005544:Forecasting; D006801:Humans; D008328:Man-Machine Systems; D009468:Neuromuscular Diseases / Q000534:rehabilitation*; D009473:Neuronal Plasticity; D020127:Recovery of Function; D012815:Signal Processing, Computer-Assisted; D014584:User-Computer Interface