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




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: PDF


  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},
  month_numeric = {4}