Resting alpha activity predicts learning ability in alpha neurofeedback

Wan, Feng; Nan, Wenya; Vai, Mang I; Rosa, Agostinho

doi:10.3389/fnhum.2014.00500

Cited by 67 publications

(89 citation statements)

References 46 publications

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“…This is interesting when comparing with the result from Wan et al (2014) where higher resting alpha activity was related to better learning in alpha up-regulation. Taken both studies together, we speculate that the participants with larger alpha amplitude in the eyes-closed resting state might be more difficult to down-regulate alpha.…”

Section: Discussionmentioning

confidence: 67%

Eyes-Closed Resting EEG Predicts the Learning of Alpha Down-Regulation in Neurofeedback Training

et al. 2018

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Neurofeedback training, which enables the trainee to learn self-control of the EEG activity of interest based on online feedback, has demonstrated benefits on cognitive and behavioral performance. Nevertheless, as a core mechanism of neurofeedback, learning of EEG regulation (i.e., EEG learning) has not been well understood. Moreover, a substantial number of non-learners who fail to achieve successful EEG learning have often been reported. This study investigated the EEG learning in alpha down-regulation neurofeedback, aiming to better understand the alpha learning and to early predict learner/non-learner. Twenty-nine participants received neurofeedback training to down-regulate alpha in two days, while eight of them were identified as non-learners who failed to reduce their alpha within sessions. Through a stepwise linear discriminant analysis, a prediction model was built based on participant’s eyes-closed resting EEG activities in broad frequency bands including lower alpha, theta, sigma and beta 1 measured before training, which was validated in predicting learners/non-learners. The findings would assist in the early identification of the individuals who would not likely reduce their alpha during neurofeedback.

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Section: Discussionmentioning

confidence: 67%

Eyes-Closed Resting EEG Predicts the Learning of Alpha Down-Regulation in Neurofeedback Training

et al. 2018

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“…All of these observations led us to speculate that the laser-induced large effect in both alpha and beta power may be a mechanistic link to tPBML1064-induced improvement and enhancement of human cognition that have been repeatedly reported in sham-controlled studies by Gonzalez-Lima et al and others in recent years (12)(13)(14)(15)28). As supporting evidence for this speculation, many studies in neurofeedback research have observed improvement of cognitive performance while the upper alpha amplitude increased (44) by neurofeedback training (44)(45)(46)(47)(48).…”

Section: Tpbml1064 Modulates Alpha and Beta Powermentioning

confidence: 61%

Transcranial photobiomodulation with infrared laser increases power of brain oscillations

Wang

Dmochowski

Zeng

et al. 2019

Preprint

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Non-invasive transcranial photobiomodulation with a 1064-nm laser (tPBML1064) has been reported to improve human performance on cognitive tasks as well as locally upregulate cerebral oxygen metabolism and hemodynamics. However, it is unknown whether tPBML1064 also modulates electrophysiology, and specifically neural oscillations, in the human brain. The hypothesis guiding this study was that tPBML1064 of the right prefrontal cortex enhances neurophysiological rhythms at specific frequency bands in the human brain under resting conditions. To test this hypothesis, we recorded the 64-channel scalp electroencephalogram (EEG) before, during, and after the application of 11 minutes of 4-cm-diameter tPBML1064 to the right forehead of human subjects (n=20) using a within-subject, sham-controlled design. Time-resolved scalp topographies of EEG power at five frequency bands were computed to examine tPBML1064induced EEG power changes across the scalp. The results showed time-dependent, significant increases of EEG spectral powers at the alpha (8-13 Hz) and beta (13-30 Hz) bands at broad scalp regions, exhibiting a front-to-back pattern. The findings provide the first sham-controlled topographic mapping that tPBML1064 increases the strength of electrophysiological oscillations (alpha and beta bands), while also shedding light on the mechanisms of tPBM in the human brain.

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“…[13][14][15][16]30 As supporting evidence for this speculation, many studies in neurofeedback research have observed improvement of cognitive performance while the upper alpha amplitude increased 47 by neurofeedback training. [47][48][49][50][51] We have also noticed that prefrontal tPBM has created a dominant front-to-back pattern in both alpha and beta rhythm powers, with a few minutes delay in the beta power increase. Since there is no prior literature on such observation, one possible speculation is to attribute this pattern to tPBM-induced enhancement in large-scale brain circuits in one or more prefrontal-driven brain networks, such as the frontoparietal central executive network and the default mode network (DMN) (see Sec.…”

Section: Tpbm Modulates Alpha and Beta Powermentioning

confidence: 65%

Transcranial photobiomodulation with 1064-nm laser modulates brain electroencephalogram rhythms

et al. 2019

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Noninvasive transcranial photobiomodulation (tPBM) with a 1064-nm laser has been reported to improve human performance on cognitive tasks as well as locally upregulate cerebral oxygen metabolism and hemodynamics. However, it is unknown whether 1064-nm tPBM also modulates electrophysiology, and specifically neural oscillations, in the human brain. The hypothesis guiding our study is that applying 1064-nm tPBM of the right prefrontal cortex enhances neurophysiological rhythms at specific frequency bands in the human brain under resting conditions. To test this hypothesis, we recorded the 64-channel scalp electroencephalogram (EEG) before, during, and after the application of 11 min of 4-cm-diameter tPBM (CW 1064-nm laser with 162 mW∕cm 2 and 107 J∕cm 2) to the right forehead of human subjects (n ¼ 20) using a within-subject, sham-controlled design. Time-resolved scalp topographies of EEG power at five frequency bands were computed to examine the tPBM-induced EEG power changes across the scalp. The results show time-dependent, significant increases of EEG spectral powers at the alpha (8 to 13 Hz) and beta (13 to 30 Hz) bands at broad scalp regions, exhibiting a front-to-back pattern. The findings provide the first sham-controlled topographic mapping that tPBM increases the strength of electrophysiological oscillations (alpha and beta bands) while also shedding light on the mechanisms of tPBM in the human brain.

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Resting alpha activity predicts learning ability in alpha neurofeedback

Cited by 67 publications

References 46 publications

Eyes-Closed Resting EEG Predicts the Learning of Alpha Down-Regulation in Neurofeedback Training

Eyes-Closed Resting EEG Predicts the Learning of Alpha Down-Regulation in Neurofeedback Training

Transcranial photobiomodulation with infrared laser increases power of brain oscillations

Transcranial photobiomodulation with 1064-nm laser modulates brain electroencephalogram rhythms

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