Studies on 17 volunteers addressed the ability to carry out voluntary control of the expression of the α and β2 frequency bands in the parietal and frontal areas of the cortex using a biofeedback method. The effects of a number of psychological properties on the effectiveness control were studied. The study results showed that in these experiments, decreases in the expression of β2 frequencies in the frontal areas of the cortex were more easily produced than decreases in the power of the α frequencies in the parietal areas. The effectiveness of the voluntary control of brain activity was affected by personality factors such as extraversion, psychoticism, neuroticism, mobility, the balance of nervous processes, and the level of trait anxiety.
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References
E. V. Aslanyan, V. N. Kiroi, D. M. Lazurenko, and O. M. Bakhtin, “The properties of nerve processes and the effectiveness of BioFB training,” Psikhol. Zh., 34, No. 2, 108–116 (2013).
A. T. Bondar’ and A. I. Fedotchev, “More on the fi ne structure of the human EEG α rhythm: two spectral components in the resting state,” Fiziol. Cheloveka, 27, No. 4, 15 (2001).
A. S. Gorev and E. N. Panova, “The effectiveness of BioFB training in controlling functional status depending on individual psychological characteristics,” Fiziol. Cheloveka, 35, No. 5, 25–31 (2009).
V. N. Kiroi, Brain-Computer Interfaces, Rostov-on-Don (2011).
A. R. Luriya, Basic Neuropsychology, Moscow (2004).
E. S. Mikhailov, “Neurobiological bases of the recognition of emotions from facial expressions by humans,” Zh. Vyssh. Nerv. Deyat., 55, No. 2, 149–162 (2005).
I. S. Nikishena, V. A. Ponomarev, V. A. Grin’-Yatsenko, and Yu. Kropotov, “Topography of changes in the spectral density of the EEG during sessions of biological feedback using the β rhythm,” Fiziol. Cheloveka, 30, No. 4, 19–24 (2004).
L. P. Pavlova and A. F. Romanenko, A Systems Approach to Psychophysiological Studies of the Human Brain, Nauka, Leningrad (1988).
S. I. Soroko and V. V. Trubachev, Neurophysiological and Psychophy siological Bases of Adaptive Biocontrol, Politekhnika Servis, St. Pe tersburg (2010).
A. I. Fedotova and E. V. Kim, “Correction of psychoemotional disorders in pregnancy by biocontrol with EEG feedback,” Fiziol. Cheloveka, 32, No. 6, 28–32 (2006).
M. Bar, E. Aminoff, and A. Ishai, “Famous faces activate contextual associations in the parahippocampal cortex,” Cerebral Cortex, 18, 1233–1238 (2008).
T. Boynton, “Applied research using alpha/theta training for enhancing creativity and well-being,” J. Neurother., 5, No. 1–2, 5–18 (2001).
M. H. M. Breteler, M. Arns, S. Peters, et al., “Improvements in spelling after QEEG-based neurofeedback in dyslexia: A randomized controlled treatment study,” Appl. Psychophysiol. Biofeedback, 35, No. 1, 5–11 (2010).
T. J. Buschman and E. K. Miller, “Top-down versus bottom-up control of attention in the prefrontal and posterior parietal cortices,” Science, 315, 1860–1862 (2007).
C. S. Carter, M. Mintun, and J. D. Cohen, “Interference and facilitation effects during selective attention: an H2 15O PET study of Stroop task performance,” Neuroimage, No. 2, 264–272 (1995).
J. A. Frederick, “Psychophysics of EEG alpha state discrimination,” Conscious Cogn., 21, No. 3, 1345–1354 (2012).
H. Gevensleben, B. Holl, B. Albrecht, et al., “Distinct EEG effects related to neurofeedback training in children with ADHD: a randomized controlled trial,” Int. J. Psychophysiol., 74, No. 2, 149–157 (2009).
M. A. Goodale, D. A. Westwood, and A. D. Milner, “Two distinct modes of control for object-directed action,” Progr. Brain Res., 144, 131–144 (2004).
J. H. Gruzelier, “Differential effects on mood of 12–15 (SMR) and 15–18 (beta 1) Hz neurofeedback,” Int. J. Psychophysiol., 93, No. 1, 112–115 (2014).
J. Kamiya, “The fi rst communications about operant conditioning of the EEG,” J. Neurother., 15, No. 1, 65–73 (2011).
A. W. Keizer, R. S. Verment, and B. Hommel, “Enhancing cognitive control through neurofeedback: a role of gamma-band activity in managing episodic retrieval,” Neuroimage, 49, 3404–3413 (2010).
J. Lagopoulos, J. Xu, I. Rasmussen, et al., “Increased theta and alpha EEG activity during nondirective meditation,” J. Altern. Complement Med., 15, 1187–1192 (2009).
M. C. Maldonado, “Neurofeedback around the world,” J. Neurother., 10, No. 4, 63 (2007).
C. Neuper, R. Scherer, S. Wriessnegger, and G. Pfurtscheller, “Motor imagery and action observation: Modulation of sensorimotor brain rhythms during mental control of a brain-computer interface,” EEG Clin. Neurophysiol., 120, No. 2, 239–247 (2009).
J. Perelmouter and N. Birbaumer, “A binary spelling interface with random errors,” IEEE Trans. Rehabil. Eng., 8, 227–232 (2000).
M. Reiner, R. Rozengurt, and A. Barnea, “Better than sleep: Theta neurofeedback training accelerates memory consolidation,” Biol. Psychol., 95, 45–53 (2014).
H. E. Schendan and M. Kutas, “Neurophysiological evidence for the time course of activation of global shape, part and local contour representations during visual object categorization and memory,” J. Cogn. Neurosci., 19, No. 5, 734–749 (2007).
J. G. Taylor, B. Horwitz, N. J. Shah, et al., “Decomposing memory: functional assignments and brain traffi c in paired word associate learning,” Neural Netw., 13, No. 8–9, 923–940 (2000).
G. J. M. Van Boxtel, A. Denissen, M. Jager, et al., “A novel self-guided approach to alpha activity training,” Int. J. Psychophysiol., 83, No. 3, 282–294 (2012).
D. Vernon, F. Ahmed, and J. Gruzelier, “The effect of low-beta EEG biofeedback training on cognitive performance: A null result,” Paper presented at the International Society for Neuronal Regulation, Winterthur, Switzerland, Feb. 24–28, 2004.
D. Vernon, T. Egner, N. Cooper, et al., “The effect of distinct neurofeedback training protocols on working memory, mental rotation and attention performance,” J. Neurother., 8, No. 1, 100–101 (2004).
D. Vernon, A. Frick, and J. Gruzelier, “Neurofeedback as a treatment for ADHD: A methodological review with implications for future research,” J. Neurother., 8, No. 2, 53–82 (2004).
J. E. Walker, “Case report: Dyslexia remediated with QEEG-guided neurofeedback,” Neuro-Connections, 28 (2010).
J.-R. Wang and Sh. Hsieh, “Neurofeedback training improves attention and working memory performance,” Clin. Neurophysiol., 124, No. 12, 2406–2420 (2013).
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Translated from Rossiiskii Fiziologicheskii Zhurnal imeni I. M. Sechenova, Vol. 101, No. 5, pp. 599–613, May, 2015.
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Aslanyan, E.V., Kiroi, V.N., Stoletnii, A.S. et al. Effects of Individual Features on the Ability of Humans to Produce Voluntary Control of the Expression of the Alpha and Beta EEG Rhythms. Neurosci Behav Physi 46, 916–925 (2016). https://doi.org/10.1007/s11055-016-0332-8
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DOI: https://doi.org/10.1007/s11055-016-0332-8