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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. doi:10.1088/1741-2560/8/2/025004.

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 Creators:
Grosse-Wentrup, M.1, Author           
Mattia, D., Author
Oweiss, K., Author
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: MPI für Intelligente Systeme; Abt. Schölkopf;
 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: 2011-04-01
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 596860
URI: http://www.kyb.tuebingen.mpg.de/
Other: 7075
DOI: 10.1088/1741-2560/8/2/025004
 Degree: -

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Title: Journal of Neural Engineering
Source Genre: Journal
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Pages: 4 Volume / Issue: 8 (2) Sequence Number: 025004 Start / End Page: - Identifier: -