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Individual alpha EEG indices for Neurofeedback use
344
Symposia Abstracts / International Journal of Psychophysiology 85 (2012) 291–360
Symposium D: Neurofeedback: Achievements and perspectives (I Part) Symposium Chair: Olga Bazanova (Russia) and Robert J. Barry (Australia)
a
Electroencephalographic (EEG) biofeedback or Neurofeedback represents a sophisticated technique that can be used to enable an individual to learn how to modify his/her own brain activity, which may lead to changes in mental and physical behaviours. A number of researchers have utilised this technique to alter specific aspects of EEG activity, and in doing so have identified links between changes in alpha, cognition and mood. Also, increasing upper alpha or SMR, or low beta amplitude simultaneously with decreasing theta, impacts Attention-Deficit/Hyperactivity Disorder. However, despite such encouraging findings it is still not clear what the full potential of Neurofeedback training may be. Hence, this symposium explores some of the issues that relate to such training. We begin with a presentation by Bazanova that reviews literature to date and her own results on individual alpha EEG indices for Neurofeedback training use. Following on from this there are presentations that directly explore the nature of the intervention on cognition, creativity and heart rate variability (Skoraya et al.), and headache (Arns et al.). Lazareva et al. will then explore the nature of the training itself, asking whether particular self-regulation techniques are more or less effective at eliciting changes in the EEG. The following presentations explore some of the changes that occur in the brain in sport addiction (Krivoschekov and Lushnikov) and in women during the ovarihormonal cycle (Muravleva et al.). Our hope is that discussion of these issues will help to improve and refine the methodology of Neurofeedback in an attempt to identify an optimal training paradigm for eliciting changes in cortical activity, and to explore the potential benefits of such effects.
With the aim simultaneous alpha EEG stimulating and EMG decreasing biofeedback training impact on the alpha-activity and cognitive functions 27 healthy male subjects (18–34 years) were investigated in pre- and post 10 training sessions of the voluntary increasing alpha power in individual upper alpha range. The accuracy of conceptual span task, fluency and flexibility in alternatives use task performance and alpha-activity indices were compared in real (14 participants) and sham (13 participants) biofeedback groups for the discrimination of the feedback role in training. The follow up effect of trainings was studied through month over the training sessions. Results showed that alpha biofeedback training enhanced the fluency and accuracy in cognitive performance, increased resting frequency, width and power in individual upper alpha range and heart rate variability only in participants with low baseline alpha frequency. While mock biofeedback increased resting alpha power only in participants with high baseline resting alpha frequency and did not change the cognitive performance and heart rate variability. Biofeedback training eliminated the alpha power decrease in response to arithmetic task in both with high and low alpha frequency participants and this effect was followed up over the month. Mock biofeedback training has no such effect.
Individual alpha EEG indices for Neurofeedback use O.M. Bazanova State research Institute of Molecular Biology and Biophysics, Siberian Branch, Russian Academy of Medical Science, Novosibirsk, Russian Federation Exploring the EEG alpha oscillations generates considerable interest because their role is well known in cognitive and psycho emotional aspects of human life. A plausible rationale for alpha stimulating Neurofeedback training can be made based upon what is already known of the links between alpha EEG activity indices and behaviour. However, till now there isn't a well determined definition of what is alpha activity phenomena and which indices characterise it. This review focuses on discriminating the EEG alpha-activity phenomena, its physical, molecular and physiological natures, plausible indices for using in Neurofeedback training for cognitive and mood improvement.
doi:10.1016/j.ijpsycho.2012.06.144
Personalizing alpha neurofeedback training influence on cognition and heart rate variability M.V. Skorayaa, N.V. Baliozb, K.B. Muravlevaa, D. Vernonc, O.M. Bazanovaa
Institute of Molecular Biology and Biophysics, Siberian Branch of Russian Academy of Medical Sciences, Russia b Institute of Physiology, Siberian Branch of Russian Academy of Medical Sciences, Russia c Canterbury Christ Church University, UK
doi:10.1016/j.ijpsycho.2012.06.145
The influence of self-regulation technique on the efficiency of voluntary increasing alpha power training
O.Y. Lazareva, K.B. Muravleva, M.V. Skoraya, E.G. Verevkin, O.M. Bazanova State research Institute of Molecular Biology and Biophysics, Siberian Branch, Russian Academy of Medical Science, Novosibirsk, Russian Federation This study examined the relationship between the type of selfregulation technique utilized by the participants and its effect on their ability to learn altering their EEG via biofeedback. Methods: Twenty seven healthy male subjects completed 10 EEG biofeedback training sessions. 14 of them were given real feedback (BFT) based on the power of their upper alpha frequency, while the remaining 13 were given mock feedback and acted as controls (Mock BFT). Participants used a range of self-regulation techniques which are known to be associated with increasing upper alpha power including: prolonged exhalation, posture control, forehead muscle relaxing, and mental imaginations. Voluntary increasing alpha power is more efficient in NFT that in mock NFT sessions. Session efficiency significantly increased as the result of NFT (pb 0.002). Mental imagination as a self-regulation technique applied by the participants was used most frequently but it was found to be least efficient. The efficiency of NFT may depend more on the individual baseline alpha frequency than on the particular self-regulation technique.
doi:10.1016/j.ijpsycho.2012.06.146
Symposia Abstracts / International Journal of Psychophysiology 85 (2012) 291–360
Symposium D: Neurofeedback: Achievements and perspectives (I Part) Symposium Chair: Olga Bazanova (Russia) and Robert J. Barry (Australia)
a
Electroencephalographic (EEG) biofeedback or Neurofeedback represents a sophisticated technique that can be used to enable an individual to learn how to modify his/her own brain activity, which may lead to changes in mental and physical behaviours. A number of researchers have utilised this technique to alter specific aspects of EEG activity, and in doing so have identified links between changes in alpha, cognition and mood. Also, increasing upper alpha or SMR, or low beta amplitude simultaneously with decreasing theta, impacts Attention-Deficit/Hyperactivity Disorder. However, despite such encouraging findings it is still not clear what the full potential of Neurofeedback training may be. Hence, this symposium explores some of the issues that relate to such training. We begin with a presentation by Bazanova that reviews literature to date and her own results on individual alpha EEG indices for Neurofeedback training use. Following on from this there are presentations that directly explore the nature of the intervention on cognition, creativity and heart rate variability (Skoraya et al.), and headache (Arns et al.). Lazareva et al. will then explore the nature of the training itself, asking whether particular self-regulation techniques are more or less effective at eliciting changes in the EEG. The following presentations explore some of the changes that occur in the brain in sport addiction (Krivoschekov and Lushnikov) and in women during the ovarihormonal cycle (Muravleva et al.). Our hope is that discussion of these issues will help to improve and refine the methodology of Neurofeedback in an attempt to identify an optimal training paradigm for eliciting changes in cortical activity, and to explore the potential benefits of such effects.
With the aim simultaneous alpha EEG stimulating and EMG decreasing biofeedback training impact on the alpha-activity and cognitive functions 27 healthy male subjects (18–34 years) were investigated in pre- and post 10 training sessions of the voluntary increasing alpha power in individual upper alpha range. The accuracy of conceptual span task, fluency and flexibility in alternatives use task performance and alpha-activity indices were compared in real (14 participants) and sham (13 participants) biofeedback groups for the discrimination of the feedback role in training. The follow up effect of trainings was studied through month over the training sessions. Results showed that alpha biofeedback training enhanced the fluency and accuracy in cognitive performance, increased resting frequency, width and power in individual upper alpha range and heart rate variability only in participants with low baseline alpha frequency. While mock biofeedback increased resting alpha power only in participants with high baseline resting alpha frequency and did not change the cognitive performance and heart rate variability. Biofeedback training eliminated the alpha power decrease in response to arithmetic task in both with high and low alpha frequency participants and this effect was followed up over the month. Mock biofeedback training has no such effect.
Individual alpha EEG indices for Neurofeedback use O.M. Bazanova State research Institute of Molecular Biology and Biophysics, Siberian Branch, Russian Academy of Medical Science, Novosibirsk, Russian Federation Exploring the EEG alpha oscillations generates considerable interest because their role is well known in cognitive and psycho emotional aspects of human life. A plausible rationale for alpha stimulating Neurofeedback training can be made based upon what is already known of the links between alpha EEG activity indices and behaviour. However, till now there isn't a well determined definition of what is alpha activity phenomena and which indices characterise it. This review focuses on discriminating the EEG alpha-activity phenomena, its physical, molecular and physiological natures, plausible indices for using in Neurofeedback training for cognitive and mood improvement.
doi:10.1016/j.ijpsycho.2012.06.144
Personalizing alpha neurofeedback training influence on cognition and heart rate variability M.V. Skorayaa, N.V. Baliozb, K.B. Muravlevaa, D. Vernonc, O.M. Bazanovaa
Institute of Molecular Biology and Biophysics, Siberian Branch of Russian Academy of Medical Sciences, Russia b Institute of Physiology, Siberian Branch of Russian Academy of Medical Sciences, Russia c Canterbury Christ Church University, UK
doi:10.1016/j.ijpsycho.2012.06.145
The influence of self-regulation technique on the efficiency of voluntary increasing alpha power training
O.Y. Lazareva, K.B. Muravleva, M.V. Skoraya, E.G. Verevkin, O.M. Bazanova State research Institute of Molecular Biology and Biophysics, Siberian Branch, Russian Academy of Medical Science, Novosibirsk, Russian Federation This study examined the relationship between the type of selfregulation technique utilized by the participants and its effect on their ability to learn altering their EEG via biofeedback. Methods: Twenty seven healthy male subjects completed 10 EEG biofeedback training sessions. 14 of them were given real feedback (BFT) based on the power of their upper alpha frequency, while the remaining 13 were given mock feedback and acted as controls (Mock BFT). Participants used a range of self-regulation techniques which are known to be associated with increasing upper alpha power including: prolonged exhalation, posture control, forehead muscle relaxing, and mental imaginations. Voluntary increasing alpha power is more efficient in NFT that in mock NFT sessions. Session efficiency significantly increased as the result of NFT (pb 0.002). Mental imagination as a self-regulation technique applied by the participants was used most frequently but it was found to be least efficient. The efficiency of NFT may depend more on the individual baseline alpha frequency than on the particular self-regulation technique.
doi:10.1016/j.ijpsycho.2012.06.146