Using brain–computer interfaces to induce neural plasticity and restore function
2011
Article
ei
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.
Author(s): | Grosse-Wentrup, M. and Mattia, D. and Oweiss, K. |
Journal: | Journal of Neural Engineering |
Volume: | 8 |
Number (issue): | 2 |
Pages: | 1-5 |
Year: | 2011 |
Month: | April |
Day: | 0 |
Department(s): | Empirical Inference |
Bibtex Type: | Article (article) |
Digital: | 0 |
DOI: | 10.1088/1741-2560/8/2/025004 |
EPUB: | 025004 |
Language: | en |
Organization: | Max-Planck-Gesellschaft |
School: | Biologische Kybernetik |
Links: |
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BibTex @article{7075, title = {Using brain–computer interfaces to induce neural plasticity and restore function}, author = {Grosse-Wentrup, M. and Mattia, D. and Oweiss, K.}, journal = {Journal of Neural Engineering}, volume = {8}, number = {2}, pages = {1-5}, organization = {Max-Planck-Gesellschaft}, school = {Biologische Kybernetik}, month = apr, year = {2011}, doi = {10.1088/1741-2560/8/2/025004}, month_numeric = {4} } |