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  Using brain–computer interfaces to induce neural plasticity and restore function

Grosse-Wentrup, M., Mattia, D., & Oweiss, K. (2011). Using brain–computer interfaces to induce neural plasticity and restore function. Journal of Neural Engineering, 8(2): 025004, pp. 1-5. doi:10.1088/1741-2560/8/2/025004.

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Grosse-Wentrup, M1, 2, Author              
Mattia, D, Author
Oweiss, K, Author
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1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Analyzing neural signals and providing feedback in real-time 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 review, 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. The review concludes with a list of open questions and recommendations for future research in this field.

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 Dates: 2011-04
 Publication Status: Published in print
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 Identifiers: DOI: 10.1088/1741-2560/8/2/025004
BibTex Citekey: 7075
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Title: Journal of Neural Engineering
Source Genre: Journal
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Publ. Info: Bristol : Institute of Physics Publishing
Pages: - Volume / Issue: 8 (2) Sequence Number: 025004 Start / End Page: 1 - 5 Identifier: ISSN: 1741-2552
CoNE: https://pure.mpg.de/cone/journals/resource/17412552