JBBS  Vol.4 No.1 , January 2014
Neuroimaging Phenomenology of the Central Self-Regulation Mechanisms
Functional MRI was used to map the brains of subjects on-line during the process of media training for the acquisition and improvement of self-regulation mechanisms. The temporal and spatial dynamics of the new neural network formation were studied in real and simulated (false) biofeedback game, and their qualitative characteristics were discussed. It has been shown that immersion into a virtual competitive game, controlled by physiological responses, causes a wide involvement of the cortices, characterized by a high volume of activation in the mid-temporal, occipital and frontal areas, the cuneus and the precuneus. In both forms of media training, high values of activation volume were identified in the cerebellar structures.

Cite this paper
M. Shtark, K. Mazhirina, M. Rezakova, A. Savelov, M. Pokrovskiy and O. Jafarova, "Neuroimaging Phenomenology of the Central Self-Regulation Mechanisms," Journal of Behavioral and Brain Science, Vol. 4 No. 1, 2014, pp. 58-68. doi: 10.4236/jbbs.2014.41008.
[1]   G. N. Boldyreva, L. A. Zhavoronkova, E. V. Sharov, et al., “EEG-fMRI Study of Healthy Human Brain Responses to Functional Loads,” Human Physiology, Vol. 35, No. 3, 2009, pp. 20-30.

[2]   H. Endepols, S. Sommer, H. Backes, et al., “Effort-Based Decision Making in the Rat: An [18F]Fluorodeoxyglucose Micro Positron Emission Tomography Study,” The Journal of Neuroscience, Vol. 30, No. 29, 2010, pp. 9708-9714.

[3]   1The authors were inspired by the article of James Sulzer and colleagues (NeuroImage, 2013) [19], who perfectly analyzed the organic complementarity between biofeedback and fMRI. We are sincerely grateful to the author.

[4]   H. Lee, M. W. Voss and R. S. Prakash, “Videogame Training Strategy-Induced Change in Brain Function during a Complex Visuomotor Task,” Behavioral Brain Research, Vol. 232, No. 2, 2012, pp. 348-357.

[5]   S. Ogawa, T. Lee, A. S. Nayak and P. Glynn, “Oxygenation-Sensitive Contrast in Magnetic Resonance Image of Rodent Brain at High Magnetic Fields,” Magnetic Resonance in Medicine, Vol. 14, No. 1, 1990, pp. 68-78.

[6]   N. A, Schnaider S. N. Shilov, M. B. Shtark, et al., “Techniques of Functional Magnetic Resonance Imaging Used in the Diagnosis of Attention Deficit and Hyperactivity Disorder,” Functional Diagnostics, Vol. 2, 2007, pp. 75-81.

[7]   M. B. Shtark, A. M. Korostishevskaya, M. V. Rezakova and A. A. Savelov, “Functional Magnetic Resonance Imaging and Neuroscience,” Successes of Physiological Sciences, Vol. 43, No. 1, 2012, pp. 3-29.

[8]   V. L. Ushakov, V. M. Verhlyutov, P. A. Sokolov, et al., “Activation of the Brain Structures on fMRI Data When Viewing Movies or Recalling Demonstrated Actions,” Journal of Higher Nervous Activity, Vol. 61, No. 5, 2011, pp. 553-565.

[9]   M. Wilke, S. K. Holland, J. S. Myseros, et al., “Functional Magnetic Resonance Imaging in Рediatrics,” Neuropediatrics, Vol. 34, 2003, pp. 225-233.

[10]   L. A. Chernikova, M. E. Ioffe, S. N. Busheneva, et al., “Electromyographic Biofeedback and Functional Magnetic Resonance Imaging in Post-Stroke Rehabilitation (Demonsrated in the Learning of Precision Grasp),” The Bulletin of Siberian Medicine, Vol. 2, 2010, pp. 12-16.

[11]   A. Y. Kaplan, J. J. Lim, K. S. Jin, et al., “Unconscious Operant Conditioning in the Paradigm of Brain-Computer Interface Based on Color Perception,” International Journal of Neuroscience, Vol. 115, 2005, pp. 781-802.

[12]   A. Ya. Kaplan and A. Yu. Zhigalov, “The Dynamic of Human EEG Alpha-Activity in the Loop of Brain-Computer Interface during Trigger Photo Stimulation,” Bulletin of Siberian Medicine, Vol. 9, No. 2, 2010, pp. 7-11.

[13]   K. G. Mazhirina, “Personality Characteristics and Dynamics of Self-Regulation during Game Control,” Thesis for PhD in Psychology, Novosibirsk, 2009.

[14]   M. W. Voss, R. S. Prakash and K. I. Erickson, “Effects of Training Strategies Implemented in a Complex Video-game on Functional Connectivity of Attentional Networks,” Neuroimage, Vol. 59, No. 1, 2012, pp. 138-148.

[15]   N. Weiskopf, F. Scharnowski, R. Veit, R. Goebel, et al., “Self-Regulation of Local Brain Activity Using Real-Time Functional Magnetic Resonance Imaging (fMRI),” Journal of Physiology (Paris), Vol. 98, 2004, pp. 357-373.

[16]   K. G. Mazhirina, M. A. Pokrovsky, M. V. Rezakova, A. A. Savelov, O. A. Savelova and M. B. Shtark, “Neuroimaging of the Dynamics of Real and Simulated Biofeedback In-Line of Functional Magnetic Resonance Imaging,” The Bulletin of Experimental Biology and Medicine, Vol. 154, No. 12, 2012, pp. 664-669.

[17]   M. V. Rezakova, K. G. Mazhirina, M. A. Pokrovsky, A. A. Savelov, O. A. Savelova and M. B. Shtark, “Dynamic Mapping of the Brain and Cognitive Control of a Virtual Game (Research by Using Functional Magnetic Resonance Imaging),” The Bulletin of Experimental Biology and Medicine, Vol. 154, No. 12, 2012, pp. 669-674.

[18]   M. V., Rezakova K. G. Mazhirina, M. A. Pokrovsky, A. A. Savelov, O. A. Savelova and M. B. Shtark, “Functional Magnetic Resonance Imaging in the Study of Dynamic Brain Mapping and Cognitive Control of a Virtual Game,” The Bulletin of Siberian Medicine, Vol. 5, 2012, pp. 105-107.

[19]   J. Sulzer, S. Haller, F. Scharnowski, N. Weiskopf, et al., “Real-Time fMRI Neurofeedback: Progress and Challenges,” NeuroImage, Vol. 76, 2013, pp. 386-399.

[20]   J. Talairach, “Co-Planar Stereotactic Atlas of the Human Brain,” Thieme Medical Publishers, New York, 1988.

[21]   G. Jackson, R. Briellmann, A. Waites, et al., “Functional MRI,” In: G. A. Webb, Ed., Modern Magnetic Resonance, Pt. 2, Springer, New York, 2008, pp. 1037-1050.