PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Using Brain-Computer Interfaces to Induce Neural Plasticity and Restore Function
Moritz Grosse-Wentrup, D Mattia and K Oweiss
Journal of Neural Engineering 2010.

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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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Brain Computer Interfaces
ID Code:7842
Deposited By:Moritz Grosse-Wentrup
Deposited On:17 March 2011