Psychological, Neurophysiological, and Mental Factors Associated With Gamma-Enhancing Neurofeedback Success
Introduction: Regarding the neurofeedback training process, previous studies indicate that 10%-50% of subjects cannot gain control over their brain activity even after repeated training sessions. This study is conducted to overcome this problem by investigating inter-individual differences in neurof...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Iran University of Medical Sciences
2020-09-01
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| Series: | Basic and Clinical Neuroscience |
| Subjects: | |
| Online Access: | http://bcn.iums.ac.ir/article-1-1511-en.html |
| _version_ | 1797280425724346368 |
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| author | Zeynab Khodakarami Mohammad Firoozabadi |
| author_facet | Zeynab Khodakarami Mohammad Firoozabadi |
| author_sort | Zeynab Khodakarami |
| collection | DOAJ |
| description | Introduction: Regarding the neurofeedback training process, previous studies indicate that 10%-50% of subjects cannot gain control over their brain activity even after repeated training sessions. This study is conducted to overcome this problem by investigating inter-individual differences in neurofeedback learning to propose some predictors for the trainability of subjects.
Methods: Eight healthy female students took part in 8 (electroencephalography) EEG neurofeedback training sessions for enhancing EEG gamma power at the Oz channel. We studied participants’ preexisting fluid intelligence and EEG frequency sub-bands’ power during 2-min eyes-closed rest and a cognitive task as psychological and neurophysiological factors, concerning neurofeedback learning performance. We also assessed the self-reports of participants about mental strategies used by them during neurofeedback to identify the most effective successful strategies.
Results: The results revealed that a significant percentage of individuals (25% in this study) cannot learn how to control their brain gamma activity using neurofeedback. Our findings suggest that fluid intelligence, gamma power during a cognitive task, and alpha power at rest can predict gamma-enhancing neurofeedback performance of individuals. Based on our study, neurofeedback learning is a form of implicit learning. We also found that learning without a user’s mental efforts to find out successful mental strategies, in other words, unconscious learning, lead to more success in gamma-enhancing neurofeedback.
Conclusion: Our results may improve gamma neurofeedback efficacy for further clinical usage and studies by giving insight about both non-trainable individuals and effective mental strategies. |
| first_indexed | 2024-03-07T16:40:05Z |
| format | Article |
| id | doaj.art-1b61cb126f514da2ba44222ce635fbfc |
| institution | Directory Open Access Journal |
| issn | 2008-126X 2228-7442 |
| language | English |
| last_indexed | 2024-03-07T16:40:05Z |
| publishDate | 2020-09-01 |
| publisher | Iran University of Medical Sciences |
| record_format | Article |
| series | Basic and Clinical Neuroscience |
| spelling | doaj.art-1b61cb126f514da2ba44222ce635fbfc2024-03-03T08:21:42ZengIran University of Medical SciencesBasic and Clinical Neuroscience2008-126X2228-74422020-09-01115701714Psychological, Neurophysiological, and Mental Factors Associated With Gamma-Enhancing Neurofeedback SuccessZeynab Khodakarami0Mohammad Firoozabadi1 Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran. Department of Medical Physics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran. Introduction: Regarding the neurofeedback training process, previous studies indicate that 10%-50% of subjects cannot gain control over their brain activity even after repeated training sessions. This study is conducted to overcome this problem by investigating inter-individual differences in neurofeedback learning to propose some predictors for the trainability of subjects. Methods: Eight healthy female students took part in 8 (electroencephalography) EEG neurofeedback training sessions for enhancing EEG gamma power at the Oz channel. We studied participants’ preexisting fluid intelligence and EEG frequency sub-bands’ power during 2-min eyes-closed rest and a cognitive task as psychological and neurophysiological factors, concerning neurofeedback learning performance. We also assessed the self-reports of participants about mental strategies used by them during neurofeedback to identify the most effective successful strategies. Results: The results revealed that a significant percentage of individuals (25% in this study) cannot learn how to control their brain gamma activity using neurofeedback. Our findings suggest that fluid intelligence, gamma power during a cognitive task, and alpha power at rest can predict gamma-enhancing neurofeedback performance of individuals. Based on our study, neurofeedback learning is a form of implicit learning. We also found that learning without a user’s mental efforts to find out successful mental strategies, in other words, unconscious learning, lead to more success in gamma-enhancing neurofeedback. Conclusion: Our results may improve gamma neurofeedback efficacy for further clinical usage and studies by giving insight about both non-trainable individuals and effective mental strategies.http://bcn.iums.ac.ir/article-1-1511-en.htmlneurofeedbackbrain-computer interface (bci)-illiteracyperformance predictionfluid intelligencemental strategies |
| spellingShingle | Zeynab Khodakarami Mohammad Firoozabadi Psychological, Neurophysiological, and Mental Factors Associated With Gamma-Enhancing Neurofeedback Success Basic and Clinical Neuroscience neurofeedback brain-computer interface (bci)-illiteracy performance prediction fluid intelligence mental strategies |
| title | Psychological, Neurophysiological, and Mental Factors Associated With Gamma-Enhancing Neurofeedback Success |
| title_full | Psychological, Neurophysiological, and Mental Factors Associated With Gamma-Enhancing Neurofeedback Success |
| title_fullStr | Psychological, Neurophysiological, and Mental Factors Associated With Gamma-Enhancing Neurofeedback Success |
| title_full_unstemmed | Psychological, Neurophysiological, and Mental Factors Associated With Gamma-Enhancing Neurofeedback Success |
| title_short | Psychological, Neurophysiological, and Mental Factors Associated With Gamma-Enhancing Neurofeedback Success |
| title_sort | psychological neurophysiological and mental factors associated with gamma enhancing neurofeedback success |
| topic | neurofeedback brain-computer interface (bci)-illiteracy performance prediction fluid intelligence mental strategies |
| url | http://bcn.iums.ac.ir/article-1-1511-en.html |
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