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Neurofeedback: Refining the Methodology of Brain-Computer Interface Training

Neurofeedback: Refining the Methodology of Brain-Computer Interface Training

David Vernon, Tammy Dempster
Copyright: © 2013 |Pages: 20
ISBN13: 9781466620773|ISBN10: 1466620773|EISBN13: 9781466620780
DOI: 10.4018/978-1-4666-2077-3.ch006
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MLA

Vernon, David, and Tammy Dempster. "Neurofeedback: Refining the Methodology of Brain-Computer Interface Training." Complexity Science, Living Systems, and Reflexing Interfaces: New Models and Perspectives, edited by Franco Orsucci and Nicoletta Sala, IGI Global, 2013, pp. 92-111. https://doi.org/10.4018/978-1-4666-2077-3.ch006

APA

Vernon, D. & Dempster, T. (2013). Neurofeedback: Refining the Methodology of Brain-Computer Interface Training. In F. Orsucci & N. Sala (Eds.), Complexity Science, Living Systems, and Reflexing Interfaces: New Models and Perspectives (pp. 92-111). IGI Global. https://doi.org/10.4018/978-1-4666-2077-3.ch006

Chicago

Vernon, David, and Tammy Dempster. "Neurofeedback: Refining the Methodology of Brain-Computer Interface Training." In Complexity Science, Living Systems, and Reflexing Interfaces: New Models and Perspectives, edited by Franco Orsucci and Nicoletta Sala, 92-111. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2077-3.ch006

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Abstract

This chapter explores the use of neurofeedback training as a mechanism for altering human brain functioning and in turn influencing behaviour. It outlines the notion that such training provides a plausible mechanism by which an individual may be able to learn to alter and control specific aspects of his electro-cortical activity. The chapter highlights some of the findings from research, including clinical, peak performance, and functional validation studies. In addition, it delineates some important methodological issues that remain to be addressed. It is hoped that outlining these issues will serve a dual purpose. First, it will assist in the understanding of some of the theoretical and methodological limitations that may be holding the field back. Second, it is hoped that such information will stimulate researchers to work towards designing more efficient and effective research protocols and neurofeedback training paradigms.

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