Title |
EEG-Neurofeedback as a Tool to Modulate Cognition and Behavior: A Review Tutorial
|
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Published in |
Frontiers in Human Neuroscience, February 2017
|
DOI | 10.3389/fnhum.2017.00051 |
Pubmed ID | |
Authors |
Stefanie Enriquez-Geppert, René J. Huster, Christoph S. Herrmann |
Abstract |
Neurofeedback is attracting renewed interest as a method to self-regulate one's own brain activity to directly alter the underlying neural mechanisms of cognition and behavior. It not only promises new avenues as a method for cognitive enhancement in healthy subjects, but also as a therapeutic tool. In the current article, we present a review tutorial discussing key aspects relevant to the development of electroencephalography (EEG) neurofeedback studies. In addition, the putative mechanisms underlying neurofeedback learning are considered. We highlight both aspects relevant for the practical application of neurofeedback as well as rather theoretical considerations related to the development of new generation protocols. Important characteristics regarding the set-up of a neurofeedback protocol are outlined in a step-by-step way. All these practical and theoretical considerations are illustrated based on a protocol and results of a frontal-midline theta up-regulation training for the improvement of executive functions. Not least, assessment criteria for the validation of neurofeedback studies as well as general guidelines for the evaluation of training efficacy are discussed. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 16% |
France | 4 | 13% |
Ireland | 2 | 6% |
Sweden | 2 | 6% |
Luxembourg | 1 | 3% |
New Zealand | 1 | 3% |
Italy | 1 | 3% |
Switzerland | 1 | 3% |
Austria | 1 | 3% |
Other | 4 | 13% |
Unknown | 9 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 24 | 77% |
Practitioners (doctors, other healthcare professionals) | 4 | 13% |
Scientists | 2 | 6% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 2 | <1% |
Poland | 1 | <1% |
Unknown | 618 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 104 | 17% |
Student > Master | 101 | 16% |
Researcher | 80 | 13% |
Student > Bachelor | 73 | 12% |
Student > Doctoral Student | 38 | 6% |
Other | 88 | 14% |
Unknown | 137 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 138 | 22% |
Psychology | 130 | 21% |
Engineering | 53 | 9% |
Computer Science | 26 | 4% |
Agricultural and Biological Sciences | 18 | 3% |
Other | 79 | 13% |
Unknown | 177 | 29% |