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

Nan, Wenya; Wan, Feng; Tang, Qi; Wong, Chi Man; Wang, Boyu; Rosa, Agostinho

doi:10.3389/fpsyg.2018.01607

Cited by 22 publications

(29 citation statements)

References 51 publications

(101 reference statements)

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“…Whereas another prominent candidate was β-band of IC11, this component might have been selected as an alternative. As in convention, α-band oscillations elicited from parietal regions typically reflect human arousal [22][23][24]. Our results would suggest that α-band activities with potential sources around the midline part of the brain (cingulate cortex) may reflect arousal.…”

Section: Ic Markers For Arousalsupporting

confidence: 65%

“…Several variations of neurofeedback methods exist; some apply to visualize one's neural state by using functional Magnetic Resonance Imaging (fMRI) for training and therapeutic purposes [20,21]. BCI with electroencephalography (EEG) has also been widely employed to detect a locus of attention with the P300 component [18,19] or as a means to assess conscious level with α-waves [22][23][24], and so forth. These classical models typically acquire data from one or a few electrode channels and focus only on a specific frequency range of interest.…”

Section: Brain-computer Interfacementioning

confidence: 99%

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Quantification of anticipation of excitement with three-axial model of emotion with EEG

Machizawa

Lisi

Kanayama

et al. 2019

Preprint

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Objectives. Multiple facets of human emotions underlie diverse and sparse neural mechanisms. Amongst many models of emotions, the circumplex model of emotion is one of a significant theory. The use of the circumplex model allows us to model variable aspects of emotion; however, such momentary expression of one's internal mental state still lacks to consider another, the third dimension of time. Here, we report an exploratory attempt to build a three-axial model of human emotion to model our sense of anticipatory excitement, "Waku-Waku (in Japanese)," when people are predictively coding upcoming emotional events.Approach. Electroencephalography (EEG) was recorded from 28 young adult participants while they mentalized upcoming emotional pictures. Three auditory tones were used as indicative cues, predicting the likelihood of valence of an upcoming picture, either positive, negative, or unknown. While seeing an image, participants judged its emotional valence during the task, and subsequently rated their subjective experiences on valence, arousal, expectation, and Waku-Waku immediately after the experiment. The collected EEG data were then analyzed to identify contributory neural signatures for each of the three axes.Main Results. A three axial model was built to quantify Waku-Waku. As was expected, this model revealed considerable contribution of the third dimension over the classical twodimension model. Distinctive EEG components were identified. Furthermore, a novel brainemotion interface is proposed and validated within the scope of limitations.Significance. The proposed notion may shed new light on the theories of emotion and supports multiplex dimensions of emotion. With an introduction of the cognitive domain for a braincomputer-interface, we propose a novel brain-emotion-interface. Limitations and potential applications are discussed.

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Section: Ic Markers For Arousalsupporting

confidence: 65%

Section: Brain-computer Interfacementioning

confidence: 99%

Quantification of anticipation of excitement with three-axial model of emotion with EEG

Machizawa

Lisi

Kanayama

et al. 2019

Preprint

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“…If these 6 participants were removed from consideration, the observed improvement rates in positive affect or non-stress score would have increased to nearly 90%. Evidence also exists in the literature that some subjects do not seem to be able to learn brainwave self-regulation, as nearly one-third could not create alpha down-regulation (Nan et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

Brainwave Self-Regulation During Bispectral IndexTM Neurofeedback in Trauma Center Nurses and Physicians After Receiving Mindfulness Instructions

et al. 2019

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Fifty-seven level I trauma center nurses/physicians participated in a 4-day intervention to learn relaxed alertness using mindfulness-based instructions and EEG neurofeedback. Neurofeedback was provided by a Bispectral IndexTM (BIS) system that continuously displays a BIS value (0–100) on the monitor screen. Reductions in the BIS value indicate that power in a high-frequency band (30–47 Hz) is decreased and power in an intermediate band (11–20 Hz) is increased. A wellbeing tool with four positive affect and seven negative affect items based on a 5-category Likert scale was used. The wellbeing score is the sum of the positive affect items (positive affect score) and the reverse-scored negative affect items (non-stress score). Of functional concern were four negative affect items rated as moderately, quite a bit, or extremely in a large percent. Of greater concern were all four positive affect items rated as very slightly or none at all, a little, or moderately in over half of the participants. Mean and nadir BIS values were markedly decreased during neurofeedback when compared to baseline values. Post-session relaxation scores were higher than pre-session relaxation scores. Post-session relaxation scores had an inverse relationship with mean and nadir BIS values. Mean and nadir BIS values were inversely associated with NFB cognitive states (i.e., widening the visual field, decreasing effort, attention to space, and relaxed alertness). For all participants, the wellbeing score was higher on day 4 than on day 1. Participants had a higher wellbeing score on day 4 than a larger group of nurses/physicians who did not participate in the BIS neurofeedback trial. Eighty percent of participants demonstrated an improvement in the positive affect or non-stress score on day 4, when compared to day 1; the wellbeing, non-stress, and positive affect scores were substantially higher on day 4 than on day 1. Additionally, for that 80% of participants, the improvements in wellbeing and non-stress were associated with reductions in day 3 BIS values. These findings indicate that trauma center nurses/physicians participating in an EEG neurofeedback trial with mindfulness instructions had improvements in wellbeing.Clinical Trial Registration: www.ClinicalTrials.gov, identifier NCT03152331. Registered May 15, 2017.

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“…In the alpha-amplitude upregulation protocol, progressive session-to-session increases in alpha amplitude during the NFB sessions were reported in several studies (Zoefel et al, 2011;López-Larraz et al, 2012;Nan et al, 2013;Wan et al, 2014;Bobby and Prakash, 2017;Naas et al, 2019). Progressive increases in the ability to manipulate the alpha-band dynamics relative to the NFB protocol have been also observed in alpha-downregulation protocols (Wan et al, 2016;Nan et al, 2018Nan et al, , 2020. To the best of our knowledge, no study has investigated session-to-session online changes in the alpha-band responsiveness relative to multiple sessions of alpha tACS.…”

Section: Multi-session Studiesmentioning

confidence: 96%

Effects of Transcranial Alternating Current Stimulation and Neurofeedback on Alpha (EEG) Dynamics: A Review

Orendáčová

Kvašňák

2021

Front. Hum. Neurosci.

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Transcranial alternating current stimulation (tACS) and neurofeedback (NFB) are two different types of non-invasive neuromodulation techniques, which can modulate brain activity and improve brain functioning. In this review, we compared the current state of knowledge related to the mechanisms of tACS and NFB and their effects on electroencephalogram (EEG) activity (online period/stimulation period) and on aftereffects (offline period/post/stimulation period), including the duration of their persistence and potential behavioral benefits. Since alpha bandwidth has been broadly studied in NFB and in tACS research, the studies of NFB and tACS in modulating alpha bandwidth were selected for comparing the online and offline effects of these two neuromodulation techniques. The factors responsible for variability in the responsiveness of the modulated EEG activity by tACS and NFB were analyzed and compared too. Based on the current literature related to tACS and NFB, it can be concluded that tACS and NFB differ a lot in the mechanisms responsible for their effects on an online EEG activity but they possibly share the common universal mechanisms responsible for the induction of aftereffects in the targeted stimulated EEG band, namely Hebbian and homeostatic plasticity. Many studies of both neuromodulation techniques report the aftereffects connected to the behavioral benefits. The duration of persistence of aftereffects for NFB and tACS is comparable. In relation to the factors influencing responsiveness to tACS and NFB, significantly more types of factors were analyzed in the NFB studies compared to the tACS studies. Several common factors for both tACS and NFB have been already investigated. Based on these outcomes, we propose several new research directions regarding tACS and NFB.

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

Cited by 22 publications

References 51 publications

Quantification of anticipation of excitement with three-axial model of emotion with EEG

Quantification of anticipation of excitement with three-axial model of emotion with EEG

Brainwave Self-Regulation During Bispectral IndexTM Neurofeedback in Trauma Center Nurses and Physicians After Receiving Mindfulness Instructions

Effects of Transcranial Alternating Current Stimulation and Neurofeedback on Alpha (EEG) Dynamics: A Review

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