Abstract
Introduction: Considerable interest has been, and still is, generated by the potential performance enhancing benefits of alpha neurofeedback training (NFT) for healthy participants. A plausible rationale for such training, with an aim to improve mood and/or enhance cognition, can be made based upon what is already known of the links between alpha EEG activity and behavior. However, designing an optimal NFT paradigm remains difficult because a number of methodological factors that may influence the outcome of such training remain largely unexplored.
Method: This article focuses on these methodological factors in an attempt to highlight some of the unanswered questions and stimulate future research.
Results: Specifically, this article examines the NFT training schedule; the variety, basis, and setting of reward thresholds; the nature and modality of the feedback signal provided; unidirectional as compared to bidirectional NFT; the establishment of a target frequency range for alpha; whether NFT should be conducted with eyes open or closed; and the identification of a clear index of learning.
Conclusions: Throughout, the article provides a number of suggestions and possible directions for future research.
Method: This article focuses on these methodological factors in an attempt to highlight some of the unanswered questions and stimulate future research.
Results: Specifically, this article examines the NFT training schedule; the variety, basis, and setting of reward thresholds; the nature and modality of the feedback signal provided; unidirectional as compared to bidirectional NFT; the establishment of a target frequency range for alpha; whether NFT should be conducted with eyes open or closed; and the identification of a clear index of learning.
Conclusions: Throughout, the article provides a number of suggestions and possible directions for future research.
Original language | English |
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Pages (from-to) | 214-227 |
Number of pages | 14 |
Journal | Journal of Neurotherapy |
Volume | 13 |
Issue number | 4 |
Early online date | 30 Nov 2009 |
DOIs | |
Publication status | Published - 2009 |
Keywords
- Alpha
- EEG
- methodology
- neurofeedback
- peak performance