We examined 105 19- to 21-year-old men with a high or low individual modal alpha-frequency in their background EEGs. Latencies of the sensorimotor simple and complex (choice) reactions, rate capabilities of the nervous processes in the tapping test, and spectral power and coherence of the frequency EEG components were estimated. Estimations were obtained for each examined person in the resting state and during finger movements with a force loading (bending of the fingers in the fist and their spreading). Men with relatively high background modal frequencies of the alpha rhythm were characterized by a higher level of the attention selectivity and more local modifications of EEG activity related to realization of manual movements. Somewhat less-differentiated patterns of cortical activation were typical of persons with lower modal alpha-frequencies; this may correlate with a lower plasticity of the cerebral processes under conditions of the control of manual motor activity with force loading and maintenance of the pre-set movement rate. Men with higher modal alpha-frequencies demonstrated better rate indices in the performance of sensorimotor reactions.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
A. I. Kostykov, L. A. Bugaychenko, I. Kalezic, et al., “Effects in feline gastrocnemius-soleus motoneurones induced by muscle fatigue,” Exp. Brain Res., 163, 284-294 (2005).
A. V. Gorkovenko, “Effect of tonic efforts developed by the hand on functional relations between the cortical regions in humans,” Fiziol. Zh., 52, No. 2, 30-31 (2006).
A. V. Kurganskii and P. P. Grigal, “Targeted corticocortical functional interactions within early stages of serial learning in adults and 7- to 8-year-old children,” Fiziol. Chel., 36, No. 4, 44-56 (2010).
A. G. Morenko, I. Ya. Kotsan, and O. S. Pavlovich, “Cortical activation processes in men with high and low background individual frequencies of the alpha rhythm in the course of sensorimotor activity of different complexity,” Fiziol. Zh., 59, No. 5, 41-49 (2013).
A. G. Morenko, “Brain processes during the perception of sensory signals in men with high and low output α-frequencies,” Ann. Neurosci., 21, No. 4, 144-149 (2014).
G. N. Boldyreva, L. A. Zhavoronkova, Ye. V. Sharova, et al., “An fMRT and EEG study of reactions of the brain of healthy humans to functional loadings,” Fiziol. Chel., 35, No. 3, 20-30 (2009).
N. D. Sorokina, G. V. Selitskii, and N. S. Kositsyn, “Neurobiological studies of bioelectrical brain activity within the gamma rhythm range in humans,” Usp. Fiziol. Nauk, 37, No. 3, 3-10 (2006).
O. M. Bazanova and M. B. Shtark, “Biocontrol in optimization of the psychomotor reactivity. Comunication 1. Comparative analysis of the biocontrol and routine executive practice,” Fiziol. Chel., 33, No. 3, 1-9 (2007).
O. M. Bazanova and L. I. Aftanas, “Individual indices of EEG alpha-activity and the nonverbal creativity,” Sechenov Ros. Fiziol. Zh., 93, No. 1, 14-26 (2007).
A. P. Anokhin, V. Muller, and U. Lindenbergeretal, “Genetic influences on dynamic complexity of brain oscillations,” Neurosci. Lett., 397, Nos. 1-2, 93-98 (2006).
J. C. Christian, S. Morzorati, and J. A. Norton, et al., “Genetic analysis of the resting electroencephalographic power spectrum in humans twins,” J. Psychophysiol., 33, 584-591 (1996).
R. C. Clark, D. Veltmeyer, R. J. Hamilton, et al., “Spontaneous alpha peak frequency predicts working memory performance across the age span,” Int. J. Psychophysiol., 53, No. 1, 1-9 (2004).
G. S.Hooper, “Comparison of the distributions of classical and adaptively aligned EEG power spectra,” Int. J. Psychophysiol., 55, No. 2, 179-189 (2005).
C. M. Smit, M. J. Wright, and N. K. Hanselletal., “Genetic variation of individual alpha frequency (IAF) and alpha power in a large adolescent twin sample,” Int. J. Psychophysiol., 61, No. 2, 235-243 (2006).
R. Kristeva, V. Chakarov, and F. Loschetal, “Electroencephalographic spectral power in writer’s cramp patients: evidence for motor cortex malfunctioning during the cramp,” NeuroImage, 27, No. 3, 706-714 (2005).
Ye. A. Umryukhin, I. I. Korobeinikova, and N. A. Karatygin, Successfulness of the performance of test tasks by students with different spectral characteristics of alpha rhythm in background EEGs,” Fiziol. Chel., 35, No. 5, 33-39 (2009).
W. Klimesch, P.Sauseng, and S.Hanslmayr, “EEG alpha oscillations: the inhibition–timing hypothesis,” Brain Res. Rev., 53, 63-88 (2007).
E. Angelakis, J. F. Lubar, and S. Stathopoulouetal, “Peak alpha frequency: an electroencephalographic measure of cognitive preparedness,” Clin. Neurophysiol., 115, 887-897 (2004).
A. Ya. Kaplan and S. V. Borisov, “Dynamics of the segmental characteristics of alpha activity in EEG of humans in the resting state and upon cognitive loadings,” Zh. Vyssh. Nerv. Deyat., 53, No. 1, 22-32 (2003).
M. N. Rusalova, “Functional asymmetry of the brain: Emotions and activation,” Usp. Fiziol. Nauk, 34, No. 5, 93-112 (2003).
M. P. Anderson, T. Mochizuki, J. Xie, et al., “Thalamic Cav3.1 T-type Ca2+ channel plays a crucial role in stabilizing sleep,” Proc. Natl. Acad. Sci. USA, 102, No. 5, 1743-1748 (2005).
A. J. Page, T. A. O’Donnell, and L. A. Blackshaw, “Inhibition of mechanosensitivity in visceral primary afferents by GABA(B) receptors involves calcium and potassium channels,” Neuroscience, 137, No. 2, 627-636 (2006).
D. J. Sperge, “Calcium and small-conductance calcium activated potassium channels in gonadotropin-releasing hormone neurons before, during, and after puberty,” J. Endocrinol., 148, No. 5, 2383-2390 (2007).
C. Bellone and R. A. Nicoll, “Rapid bidirectionals witching of synaptic NMDA receptors,” Neuron, 55, No. 5, 779-785 (2007).
S. C. Ng and P. Raveendran, “EEG peak alpha frequency as an indicator for physical fatigue,” Abstracts of 11th Mediterranean Conference on Medical and Biomedical Engineering and Computing, Medicon, 16, 517-520 (2007).
L. A. Zhavoronkova, Dextrals/Sinistrals. Interhemisphere Asymmetry of Brain Potentials in Humans, Ekoinvest, Krasnodar (2009).
V. G. Kamenskaya, Time in the Process of Reflection as a Factor of Organization of the Targeted Auditory-Motor Reactions in Humans, Abstract of Doctoral Thesis for Psychol. Sciences, Moscow (1995).
A. V. Klimash, M. N. Tsitseroshin, A. N. Shepovalnikov, et al., “Disorders in the spatial organization of electrical brain activity in patients suffering from severe craniocerebral trauma with different manifestations of the consciousness suppression,” Fiziol. Chel., 36, No. 5, 49-65 (2010).
G. Buzsáki, Rhythms of the Brain, Oxford, New York (2006).
K. S. Tebenova, “A study of bioelectrical cerebral activity in telephone station operators,” Sovrem. Probl. Nauki Obraz., 4, 138-141 (2009).
E. A. Kostandlov and Y. A. Cheremushkin, “Changes in low- and high-frequency oscillations of the alpha range within intervals between significant visual stimuli,” Fiziol. Chel., 39, No. 4, 5-12 (2013).
F. Pulvermuller, N. Birbaumer, W. Lutzenberger, et al., “High-frequency brain activity: its possible role in attention, perception and language processing,” Prog. Neurobiol., 52, No. 5, 427-445 (1997).
G. Pfurtscheller and T. H. Lopes da Silva, “Event-related EEG/MEG synchronization and desynchronization: basic principles,” Clin. Neurophysiol., 110, No. 11, 1842-1857 (1999).
M. Ye. Ioffe, “Cerebral mechanisms of formation of novel movements in the course of learning: Evolution of classical concepts,” Zh. Vyssh. Nerv. Deyat., 53, No. 1, 5-21 (2003).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Morenko, A.G. EEG Activity during Realization of Manual Movements by Individuals with Different Characteristics of the Alpha Rhythm. Neurophysiology 49, 143–150 (2017). https://doi.org/10.1007/s11062-017-9643-9
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11062-017-9643-9