NONLINEAR STIMULATION TECHNOLOGIES TO ENHANCE THE EFFICIENCY OF THE THERAPY OF BRAIN DISORDERS AND EFFICACY OF COGNITIVE TRAINING.
- Professor of Pathophysiology, Dr. Biol. Sci., Head of the Department of Clinical Physiology of Vision,Federal State Budgetary Institution ?Moscow Helmholtz Research Institute of Eye Diseases", Ministry of Healthcare of Russian Federation, 14/19 Sadovaya-Chernogryazskaya Street, Moscow, 105062, Russian Federation.
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The development and maintenance of the complex structure of neural networks and the activity of the brain we recently linked with a complexity of visual and other environmental signals accompanying the person during his life. From this theory, it follows that the simplification of dynamics of environmental signals may be associated with the abnormal development and aging of the brain, or may accelerate the already existing neurological pathology. The use of nonlinear stimulation therapy can improve the restoration of the structure and function of the brain, including in neurodegenerative pathology by regulating the potential of neuroplasticity. In psychological rehabilitation, it may produce effects via the brainwave entrainment helping to restore the dynamics of the neuronal activity. We substantiate the possibility of application of technologies of nonlinear stimulation of the brain to enhance the efficiency of the therapy of neurological disorders and to preserve the mental activity of aging persons. Programs of nonlinear stimulation of the brain in healthy individuals can be self-contained methods of the cognitive training, including stress conditions. Besides, we believe that elements of nonlinear visual and audio stimulation should also be applied in new modifications of the existing brain training techniques because that can significantly enhance the efficacy of training games and programs of the brain stimulation.
- Adrian, E.D. and Matthews, B.H. (1934): The Berger rhythm: Potential changes from the occipital lobes of man. , 57:355-385.
- Alwis, D.S. and Rajan, R. (2014): Environmental enrichment and the sensory brain: the role of enrichment in remediating brain injury. Syst. Neurosci., Sep 2; 8:156. doi: 10.3389/fnsys.2014.00156. eCollection 2014.
- Anderson, J.S., Lampl, I., Gillespie, D.C. and Ferster, D. (2000): The contribution of noise to contrast invariance of orientation tuning in cat visual cortex. Science., 290(5498): 1968?1972. DOI: 10.1126/science.290.5498.1968
- Andreou, C., Nolte, G., Leicht, G., Polomac, N., Hanganu-Opatz, I. L., Lambert, M., Engel, A.K. andMulert, C. 92014): Increased resting-state gamma-band connectivity in first-episode schizophrenia. Bull., 41(4): 930-939. doi: 10.1093/schbul/sbu121.
- Antal, A. and Herrmann, C.S. (2016): Transcranial alternating current and random noise stimulation: possible mechanisms. Neural Plast.,
- Arenas, A., D?az-Guilera, A., Kurths, J., Moreno Y. and Zhou, C. (2008): Synchronization in complex networks. Physics Reports., 469(3): 93?153. http://dx.doi.org/10.1016/j.physrep.2008.09.002
- Babiloni, C., Lizio, R., Marzano, N., Capotosto, P., Soricelli, A., Triggiani, A. et al. (2016): Brain neural synchronization and functional coupling in Alzheimer's disease as revealed by resting state EEG rhythms. J. Psychophysiol., 103:88-102. doi: 10.1016/j.ijpsycho.2015.02.008. Epub 2015 Feb 7.
- Bak, P.,Tang, C. and Wiesenfeld, K. (1987): Self-organized criticality: An explanation of the 1/f noise. Phys Rev Lett.,?59(4): 381-384.
- Balasubramanian, K. andNagaraj, N. (2016): Aging and cardiovascular complexity: effect of the length of RR tachograms. PeerJ, Dec 6; 4:e2755. eCollection 2016. ?https://doi.org/10.7717/peerj.2755
- Barlett, E.L. (2013): The organization and physiology of the auditory thalamus and its role in processing acoustic features important for speech perception. Brain Lang., 126(1): 29?48. doi:? 1016/j.bandl.2013.03.003
- Barlow, J.S. (1960) Rhythmic activity induced by photic stimulation in relation to intrinsical activity of the brain in man. Electroencephalography Clin. Neurophysiol., 12: 317-326.
- Baroncelli, L., Bonaccorsi, J., Milanese, M., Bonifacino, T., Giribaldi, F., Manno, I., et al. (2012): Enriched experience and recovery from amblyopia in adult rats: impact of motor, social and sensory components. Neuropharmacology., 62:2388?2397. doi: 10.1016/j.neuropharm.2012.02.010
- Baroncelli, L., Braschi, C., Spolidoro, M., Begenisic, T., Sale, A. and Maffei, L. (2010): Nurturing brain plasticity: impact of environmental enrichment. Cell Death Differ., 17(7):1092?1103. doi: 10.1038/cdd.2009.193. Epub 2009 Dec 18.
- Bengoetxea, H., Ortuzar, N., Bulnes, S., Rico-Barrio, I., Vicente Lafuente, J. and Argando?a, E.G. (2012): Enriched and deprived sensory experience induces structural changes and rewires connectivity during the postnatal development of the brain. Neural Plast., doi:10.1155/2012/ 305693
- Bhattacharya, J. and Petsche, H. (2005): Drawing on mind's canvas: differences in cortical integration patterns between artists and non-artists. Human Brain Mapping., 26:1?14. DOI: 1002/hbm.20104
- Bigerelle, M. and Iost,.A. (2000): Fractal dimension and classification of music. Chaos Solitons Fractals., 11(14): 2179-2192. DOI: 10.1016/S0960-0779(99)00137-X
- Bilder, R.M. and Knudsen, K.S. (2014): Creative cognition and systems biology on the edge of chaos. Psychol., 30 Sept 2014. http://dx.doi.org/10.3389/fpsyg.2014.01104
- Black, J.E. (1998): How a child builds its brain: some lessons from animal studies and neural plasticity. Preventive Medicine, 27(2): 168-171. doi:10.1006/pmed.1998.0271
- Boccaletti, S., Kurths, J., Osipov, G., Valladares, D.L. and Zhou, C.S. (2002): The synchronization of chaotic systems. Physics Reports., 366(1-2):1?101. http://dx.doi.org/10.1016/S0370-1573(02)00137-0
- Bolwerk, A., Mack-Andrick, J., Lang, F.R., D?rfler, A. and Maih?fner, C. (2014): How art changes your brain: differential effects of visual art production and cognitive art evaluation on functional brain connectivity. PLOS ONE., 9(12): e116548. Published: July 1, 2014 http://dx.doi.org/10.1371/journal.pone.0101035
- Bonaconsa, M., Colavito, V., Pifferi, F., Aujard, F., Schenker, E., Dix, S. et al. (2013): Cell clocks and neuronal networks: neuron ticking and synchronization in aging and aging-related neurodegenerative disease. Curr. Alzheimer Res., 10(6): 597-608.
- Buonomano, D.V. and Merzenich, M.M. (1998): Cortical plasticity: from synapses to maps. Rev. Neurosci., 21: 149?186. doi: 10.1146/annurev.neuro.21.1.149
- Buzs?ki, G. and Draguhn, A. (2004): Neuronal oscillations in cortical networks. Science. 2004;304:1926?1929. doi: 10.1126/science.1099745
- Carcea, I. and Froemke, R.C. (2013): Cortical plasticity, excitatory-inhibitory balance, and sensory perception. Prog Brain Res., 207: 65?90. doi:10.1016/B978-0-444-63327-9.00003-5
- Cassilhas, R.C., Lee, K.S., Fernandes, J., Oliveira, M.G.,Tufik, S.,?Meeusen, R. and?de Mello, M.T. (2011):? Spatial memory is improved by aerobic and resistance exercise through divergent molecular mechanisms. Neuroscience., 202: 309?317. doi: 10.1016/j.neuroscience.2011.11.029. Epub 2011 Dec 2.
- Castellanos, N.P., Pa?l, N., Ord??ez, V.E., Demuynck, O., Bajo, R., Campo, P. et al. (2010): Reorganization of functional connectivity as a correlate of cognitive recovery in acquired brain injury. Brain., 133(Pt8): 2365?2381. doi:10.1093/brain/awq174
- Chen, J.L., Flanders, G.H., Lee, W.C., Lin, W.C. and Nedivi, E. (2011)?: Inhibitory dendrite dynamics as a general feature of the adult cortical microcircuit. J Neurosci., 31:12437-12443. doi: 10.1523/JNEUROSCI.0420-11.2011.
- Cheng, W., Law, P.K., Kwan, H.C. and Cheng, R.S.S. (2014): Stimulation therapies and the relevance of fractal dynamics to the treatment of diseases. Open Journal of Regenerative Medicine, 3: 73-94. http://dx.doi.org/10.4236/ojrm.2014.34009
- Costa, M., Priplata, A.A., Lipsitz, L.A., Wu, Z., Huang, N.E., Goldberger, A.L. and Peng C.K. (2007): Noise and poise: Enhancement of postural complexity in the elderly with a stochastic-resonance-based therapy. Europhys. Lett., 77(6):68008. doi:?1209/0295-5075/77/68008
- Crowell, A.L., Ryapolova-Webb, E.S., Ostrem, J.L., Galifianakis, N.B., Shimamoto, S., Lim, D. A., et al. (2012): Oscillations in sensorimotor cortex in movement disorders: an electrocorticography study. Brain, 135(Pt.2): 615?630. doi: 10.1093/brain/awr332
- Crownover, R.M. (1995): Introduction to Fractals and Chaos, London: Jones and Bartlett Publishers, pp. 306.
- Dauwels, J., Srinivasan, K., Reddy, M.R., Musha, T., Vialatte, F.-B., Latchoumane, C. Jeong, J. and Cichocki, A. (2011)?: Slowing and Loss of Complexity in Alzheimer?s EEG: Two Sides of the Same Coin? J. Alzheim. Dis. 2011; Volume 2011, Article ID 539621, 10 pages. doi:10.4061/2011/539621
- Dey, S,Proulx, S.R. and?Teot?nio, H. (2016): Adaptation to temporally fluctuating environments by the evolution of maternal effects. PLoS Biol.?Feb 24, 14(2):e1002388. doi: 10.1371/journal.pbio.1002388. eCollection 2016.
- Dockx, K., Bekkers, E.M.J., Van den Bergh, V., Ginis, P., Rochester, L., Hausdorff, J.M. et al. (2016): Virtual reality for rehabilitation in Parkinson?s disease. Cochrane Database of Systematic Reviews. Issue 12. Art. No: CD010760. DOI: 10.1002/14651858.CD010760.pub2.
- Dragoi, V., Rivadulla, C. and Sur, M. (2001): Foci of orientation plasticity in visual cortex. Nature. 411:80-86. doi:0.1038/35075070
- Engel, A. K., Fries, P., and Singer, W. (2001). Dynamic predictions: oscillations and synchrony in top-down processing.?Nat. Rev. Neurosci.?2, 704?716. doi: 10.1038/35094565
- Eysel, U.T. (2009): Adult Cortical Plasticity. Bochum, Germany: Ruhr-University Bochum. Available: http://brain.phgy.queensu.ca/pare/assets/Circuits_supp.pdf
- Feder, J. (1988): Fractals (Physics of Solids and Liquids). Berlin: Springer, 284P.
- Fox, P.T. and Raichle, M.E. (1985): Stimulus rate determines regional blood flow in striate cortex. Neurol., 17:303-305.
- Freiherr, J., Lundstrom, J.N., Habel, U. and Reetz K. (2013): Multisensory integration mechanisms during aging. Hum. Neurosci., 2013;7:863. doi: 10.3389/fnhum.2013.00863
- Geula, C. (1998): Abnormalities of neural circuitry in Alzheimer's disease: hippocampus and cortical cholinergic innervation. Neurology., 51(Suppl 1): S18-29; discussion S65-67. doi: http://dx.doi.org/10.1212/WNL.51.1_Suppl_1.S18
- Gilbert, C.D. and?Li W. (2012)?: Adult visual cortical plasticity. Neuron., 75(2):250-264. doi: 10.1016/j.neuron.2012.06.030.
- Goldberger, A.L. (1997): Fractal variability versus pathologic periodicity: complexity loss and stereotypy in disease. Biol. Med., 40: 543-561. doi: 10.1353/pbm.1997.0063
- Goldberger, A.L., Amaral, L.A.N., Hausdorff, J.M., Ivanov, P.Ch., Peng, C.-K. and Stanley H.E. (2002): Fractal dynamics in physiology: Alterations with disease and aging. Natl. Acad. Sci. U.S.A., 99 (Suppl 1): 2466-2472. doi:?10.1073/pnas.012579499
- Gonz?lez, J.A. and Pino (2000): Chaotic and stochastic functions. Physica A: Statistical Mechanics and its Applications. 276(3?4): 425-440. 15 February. http://dx.doi.org/10.1016/S0378-4371(99)00423-9
- Green, C.S. and Bavelier D. (2007): Action-video-game experience alters the spatial resolution of vision. Sci., 18(1): 88?94. doi: 10.1111/j.1467-9280.2007.01853.x
- Hallett, M. (2007)?: Transcranial magnetic stimulation: a primer.?Neuron., 55?:187?199. doi: 10.1016/j.neuron.2007.06.026
- Halley, J.M. (1996): Ecology, evolution and 1/f-noise. Trends Ecol. Evol., 11: 33-37.
- Halley, J.M. and Inchausti, P. (2004): The increasing importance of 1/f noise as models of ecological variability. Fluctuation and Noise Letters. 4(2):R1?R26.
- Hamilton, G.F., Phodes, J.S. (2015): Exercise Regulation of Cognitive Function and Neuroplasticity in the Healthy and Diseased Brain. In: Progress in Molecular Biology and Translational Science. Elsevier Inc., Volume 135, pp. 381-406. http://dx.doi.org/10.1016/bs.pmbts.2015.07.004
- Hausdorff, J.M., Peng, C-.K., Ladin, Z., Wei, J.Y. and Goldberger A.L. (1995): Is walking a random walk? Evidence for long-range correlations in stride interval of human gait. Appl. Physiol., 78: 349?358.
- Hazard, C., Kimport, C. and Johnson, D. (1998-1999): Fractal Music. Research Project. http://www.tursiops.cc/fm
- Heinrichs-Graham, E., Wilson, T.W., Santamaria, P.M., Heithoff, S.K., Torres-Russotto, D., Hutter-Saunders, J.A.L., et al. (2014): Neuromagnetic evidence of abnormal movement-related beta desynchronization in Parkinson?s disease. Cortex., 24:2669?2678. doi: 10.1093/cercor/bht121
- Hensch, T. (2005): Critical period plasticity in local cortical circuitries. Rev. Neurosci., 6:877?888. doi:10.1038/nrn1787
- Herholz, S.C. and Zatorre, R.J. (2012): Musical training as a framework for brain plasticity: behavior, function, and structure. Neuron., 76:486-502. DOI: http://dx.doi.org/10.1016/j.neuron.2012.10.011
- Hove, M.J., Suzuki, K., Uchitomi, H., Orimo, S. and Miyake Y. (2012): Interactive Rhythmic Auditory Stimulation Reinstates Natural 1/fTiming in Gait of Parkinson's Patients. PLoS ONE 7(3): e32600. doi:10.1371/journal.pone.0032600
- Hs?, K.J. and Hs?, A. (1990): Fractal geometry of music. Proc. Natl. Acad. Sci. U.S.A., 87: 938?941. doi: 10.1073/pnas.87.3.938
- Hs?, K.J. and Hs?, A. (1991): Self-similarity of the 1/f Noise called music. Proc. Natl. Acad. Sci. U.S.A. 88:3507?3509. doi: 10.1073/pnas.88.8.3507
- Hu, K., van Someren, E.J., Shea, S.A. and Scheer, F.A. (2009): Reduction of scale invariance of activity fluctuations with aging and Alzheimer's disease: involvement of the circadian pacemaker. Natl. Acad. Sci. U.S.A., 106:2490-2494. DOI:
- 10.1073/pnas.0806087106Huang, T.L. and Charyton, C. (2008): A comprehensive review of the psychological effects of brainwave entrainment.? Altern. Ther. Health. Med., 14(5):38-50.
- Huang, Y.-Z., Edwards, M.J., Rounis, E., Bhatia, K.P. and Rothwell, J.C. (2004): Theta burst stimulation of the human motor cortex.?Neuron., 45:201?206. doi: 10.1016/j.neuron.2004.12.033
- Hubel, D.H. and Wiesel, T.N. (1961): Integrative action in the cat?s lateral geniculate body. Physiol., 155:385?98.
- Hubel, D.H. and Wiesel, T.N. (1970): The period of susceptibility to the physiological effects of unilateral eye closure in kittens. J. Physiol., 206: 419?436. doi: 10.1113/jphysiol.1970.sp009022
- Hummel, F. and Gerloff, C. (2005): Larger interregional synchrony is associated with greater behavioral success in a complex sensory integration task in humans. Cortex.?2005; 15: 670?678. doi: 10.1093/cercor/bhh170
- Hummel, F.C. and Cohen, L.G. (2005): Drivers of brain plasticity.? Opin. Neurol., 18: 667?674. doi: 10.1097/01.wco.0000189876.37475.42
- Hunt, N., McGrath, D. and Stergiou, N. (2014): The influence of auditory-motor coupling on fractal dynamics in human gait. Rep., 4: 5879, doi: 10.1038/srep05879.
- Iannaccone, P.M. and Khokha, M.K. (1996): Fractal Geometry in Biological Systems: An Analytical Approach. BocaRaton, FL: CRC Press, 384p.
- Jausovec, N., Jausovec, K. and Gerlic, I. (2006): The influence of Mozart's music on brain activity in the process of learning. Neurophysiol., 117(12): 2703-2314. doi:10.1016/j.clinph.2006.08.010
- Jenkins, J.S. (2001): The Mozart effect. R. Soc. Med., 94(4): 170?172.
- Jeong, J. (2004): EEG dynamics in patients with Alzheimer's disease. Clin Neurophysiol., 115(7): 1490-1505. DOI: 1016/j.clinph.2004.01.001
- Johannesen, J.K., Kieffaber, P.D., O?Donnell, B.F., Shekhar, A., Evans, J.D. and Hetrick, W.P. (2005): Contributions of subtype and spectral frequency analyses to the study of P50 ERP amplitude and suppression in schizophrenia.? Res., 78:269?284. doi: 10.1016/j.schres.2005.05.022
- Katz, L.C. and Shatz, C.J. (1996): Synaptic activity and the construction of cortical circuits. Science., 274: 1133?1138.
- Kelly, K.R., McKetton, L., Schneider, K.A., Gallie, B.L. and Steeves, J.K.E. (2014): Altered anterior visual system development following early monocular enucleation. Neuroimage Clin., 4: 72?81.
- Kitzbichler, M.G., Smith, M.L., Christensen, S.R. and Bullmore E. (2009): Broadband Criticality of Human Brain Network Synchronization. PLoS Comput Biol., 5(3): e1000314. http://dx.doi.org/10.1371/journal.pcbi.1000314
- Kramer, A.F., Bherer, L., Colcombe, S.J., Dong, W. and Greenough, W.T. (2004): Environmental influences on cognitive and brain plasticity during aging. Gerontol. A. Biol. Sci. Med. Sci., 59(9):M940?57.
- Kraus, N. and White-Schwoch, T. (2014): Music training: Lifelong investment to protect the brain from aging and hearing loss. Acoustics Australia. 42(2):117-123.
- Krawinkel, L.A., Engel K. and Hummel, F.C. (2015): Modulating pathological oscillations by rhythmic non-invasive brain stimulation?a therapeutic concept? Front. Sys. Neurosci., 9; Article 33. doi: 10.3389/fnsys.2015.00033
- K?hn, A.A., Kempf, F., Br?cke, C., Gaynor Doyle, L., Martinez-Torres, I., Pogosyan, A., et al. (2008): High-frequency stimulation of the subthalamic nucleus suppresses oscillatory beta activity in patients with Parkinson?s disease in parallel with improvement in motor performance. Neurosci., 28:6165?6173. doi:10.1523/JNEUROSCI.0282-08.2008
- Laaksonen, K., Helle, L., Parkkonen, L., Kirveskari, E., M?kel?, J.P., Mustanoja, S., et al. (2013): Alterations in spontaneous brain oscillations during stroke recovery. PLoS One., 8:e61146. doi:10.1371/journal.pone.0061146
- Levy, R., Ashby, P., Hutchison, W.D., Lang, A.E., Lozano, A.M. and Dostrovsky, J.O. (2002): Dependence of subthalamic nucleus oscillations on movement and dopamine in Parkinson?s disease. Brain. 125(Pt. 6): 1196?1209. doi: 10.1093/brain/awf128
- Li, Y., Tong, S., Liu, D., Gai, Y., Wang, X., Wang, J., Qui, Y. and Zhu, Y. (2008): Abnormal EEG complexity in patients with schizophrenia and depression. Neurophysiol., Jun;119(6):1232-1241. doi: 10.1016/j.clinph.2008.01.104. Epub 2008 Apr 8.
- Lin, Y.P., Duann, J.R., Feng, W., Chen, J.H. and Jung, T.P. (2014): Revealing spatio-spectral electroencephalographic dynamics of musical mode and tempo perception by independent component analysis. Neuroeng. Rehabil., 11:18. doi: 10.1186/1743-0003-11-18.
- Lipsitz, L.A. and Goldberger A.L. (1992): Loss of ?complexity? and aging. JAMA., 267(13): 1806-1809.
- Liu, S.,Guo, J.,?Meng, J.,?Wang, Z.,?Yao, Y.,?Yang, J.,?Qi, H. and?Ming, D. (2016):? Abnormal EEG complexity and functional connectivity of brain in patients with acute thalamic ischemic stroke. Math. Methods. Med., 2016:2582478. doi: 10.1155/2016/2582478. Epub 2016 Jun 14.
- Liu, X.,Zhang, C.,?Ji, Z.,?Ma, Y.,?Shang, X.,?Zhang, Q.,?Zheng, W.,?Li, X.,?Gao, J.,?Wang, R., Wang, J. and Yu H. (2016): Multiple characteristics analysis of Alzheimer's electroencephalogram by power spectral density and Lempel-Ziv complexity. Neurodyn., 10(2):121-133. doi: 10.1007/s11571-015-9367-8. Epub 2015 Nov 12.
- Lu, L., Bao, G., Chen H., Xia, P., Fan, X., Zhang, J., Pei, G. and Ma, L. (2003): Modification of hippocampal neurogenesis and neuroplasticity by social environments. Neurol., 183(2): 600?609.
- Mahncke, H.W., Bronstone, A. and Merzenich, M.M. (2006): Brain plasticity and functional losses in the aged: scientific bases for a novel intervention. Brain Res., 157: 81?109.doi:10.1016/S0079-6123(06)57006-2
- Mandelbrot, B.B. (1982): The fractal geometry of nature. H. Freeman and Company: San Francisco.
- Manjarrez, E., Rojas-Piloni, J.G., M?ndez, I., Mart?nez, L., V?lez, D., V?zquez, D. and Flores, A. (2002): Internal stochastic resonance in the coherence between spinal and cortical neuronal ensembles in the cat. Lett., 326: 93?96.
- Manor, B. and Lipsitz, L.A. (2013): Physiologic complexity and aging: implications for physical function and rehabilitation. Neuropsychopharmacol. Biol. Psychiatry., 45:287-293. doi: 10.1016/j.pnpbp.2012.08.020.
- Marshall, L., Kirov, R., Brade, J., M?lle, M. and Born, J. (2011): Transcranial electrical currents to probe EEG brain rhythms and memory consolidation during sleep in humans.?PLoS One., 6:e16905. doi: 10.1371/journal.pone.0016905
- Maya-Vetencourt, J.F. and Origlia, N. (2012): Visual cortex plasticity: a complex interplay of genetic and environmental influences. Neural Plast., 14. doi: 10.1155/2012/631965
- Maya-Vetencourt, J.F., Sale, A., Viegi, A., Baroncelli, L., De Pasquale, R., O'Leary, O.F., Castr?n, E. and Maffei L. (2008)?: The antidepressant fluoxetine restores plasticity in the adult visual cortex.?Science.320: 385?388.? doi: 1126/science.1150516
- Maya-Vetencourt, J.F., Tiraboschi, E., Spolidoro, M., Castr?n, E. and Maffei, L. (2011): Serotonin triggers a transient epigenetic mechanism that reinstates adult visual cortex plasticity in rats. J. Neurosci.,33(1): 49-57. doi: 10.1111/j.1460-9568.2010.07488.x.
- Merabet, L.B. and Pascual-Leone, A. (2010): Neural reorganization following sensory loss: the opportunity of change. Nat. Rev. Neurosci., 11: 44?52. doi: 10.1038/nrn2758
- Merzenich, M. (2013): Soft-Wired: How the New Science of Brain Plasticity Can Change Your Life. Parnassus Publishing; 2nd edition, 266P.
- Mora, F.,Segovia, G. and del Arco, A. (2007): Aging, plasticity and environmental enrichment: structural changes and neurotransmitter dynamics in several areas of the brain. Brain Res. Rev.,?55(1):78-88. doi:10.1016/j.brainresrev.2007.03.011
- Moro, S.S., Kelly, K.R., McKetton, L., Gallie, B.L. and Steeves, J.K.E. (2015): Evidence of multisensory plasticity: Asymmetrical medial geniculate body in people with one eye. Neuroimage Clin., 9: 513?518. doi:? 1016/j.nicl.2015.09.016
- Moucha, R. and Kilgard, M.P. (2006): Cortical plasticity and rehabilitation. Prog. Brain Res., 157: 111?122. doi:10.1016/S0079-6123(06)57007-
- Namazi, H., Kulish, V.V. and Akrami, A. (2016): The analysis of the influence of fractal structure of stimuli on fractal dynamics in fixational eye movements and EEG signal. Scientific Res., 6:26639. DOI: 10.1038/srep2663
- Noice, T., Noice, H. and Kramer, A.F. (2013): Participatory arts for older adults: a review of benefits and challenges. The Gerontologist. 54(5): 741?753. doi:10.1093/geront/gnt13
- Nozaradan, S. (2014): Exploring how musical rhythm entrains brain activity with electroencephalogram frequency-tagging. Trans. R. Soc. B., 369: 20130393. http://dx.doi.org/10.1098/rstb.2013.0393
- Nudo, R.J. (2011): Neural bases of recovery after brain injury. Commun. Disord., 44(5): 515-520. doi:? 10.1016/j.jcomdis.2011.04.004
- Pan, W., Soma, R., Kwak, S. and Yamamoto, Y. (2008): Improvement of motor functions by noisy vestibular stimulation in central neurodegenerative disorders. Neurol., 255: 1657?1661.doi:10.1007/s00415-008-0950-
- Pascual-Leone, A., Freitas, C., Oberman, L., Horvath, J.C., Halko, M., Eldaief, M. et al. (2011): Characterizing brain cortical plasticity and network dynamics across the age-span in health and disease with TMS-EEG and TMS-fMRI. Brain Topogr., 24:302?315.doi:10.1007/s10548-011-0196-
- Pascual-Leone, A., Valls-Sol?, J., Wassermann, E.M. and Hallett, M. (1994): Responses to rapid-rate transcranial magnetic stimulation of the human motor cortex.?Brain. 117(Pt. 4):847?858. doi: 10.1093/brain/117.4.84
- Peng, C.K., Mietus, J.E., Liu, Y., Lee, C., Hausdorff, J.M., Stanley, H.E. et al. (2002): Quantifying fractal dynamics of human respiration: age and gender effects. Ann. Biomed. Eng., 30: 683?692. doi: 10.1114/1.148105
- Petsche, H. (1996): Approaches to verbal, visual and musical creativity by EEG coherence analysis. J. Psychophysiol., 24 (1-2): 145-159. doi:10.1016/S0167-8760(96)00050-5
- Priplata, A, Niemi, J.B., Harry, J.D., Lipsitz, L.A. and Collins, J.J. (2003): Vibrating insoles and balance control in elderly people. Lancet, 362: 1123?1124, DOI: 1016/S0140-6736(03)14470-4
- Pyankova, S.D. (2016): Fractal analysis in psychology: perception of self-similar objects. Psikhologicheskie Issledovaniya., 9(46):12. URL: http://psystudy.ru. Available 09.12.2016 at http://psystudy.ru/index.php/num/2016v9n46/1266-pyankova46.html [in Russ].
- Rhea, C.K., Kiefer, A.W., Wittstein, M.W., Leonard, K.B., MacPherson, R.P., Wright, W.G., et al. (2014): Fractal Gait Patterns Are Retained after Entrainment to a Fractal Stimulus. PLoS ONE., 9(9): e106755. http://dx.doi.org/10.1371/journal.pone.0106755
- Rieke, F. andBaylor, D.A. (2000): Origin and functional impact of dark noise in retinal cones. Neuron.,Apr;26(1):181-186. https://doi.org/10.1016/S0896-6273(00)81148-4
- R?der, B., Stock, O., Bien, S., Neville, H. and R?sler, F. (2002): Speech processing activates visual cortex in congenitally blind humans. J. Neurosci., 16(5):930?936.
- Sappey-Marinier, D., Calabrese, G., Fein, G., Hugg, J.W., Biggins, C. andWeiner, M.W. (1992): Effect of photic stimulation on human visual cortex lactate and phosphates using 1H and 31P magnetic resonance spectroscopy. Cereb. Blood Flow Metab., 12:584-592.
- S?rk?m?, T., Ripoll?s, P., Veps?l?inen, H., Autti, T., Silvennoinen, H.M.,Salli, E. et al. (2014): Structural changes induced by daily music listening in the recovering brain after middle cerebral artery stroke: a voxel-based morphometry study. Front Hum Neurosci.,?8:245.doi:??3389/fnhum.2014.00245
- Sauseng, P., Gerloff, C. and Hummel, F.C. (2013): Two brakes are better than one: the neural bases of inhibitory control of motor memory traces.?Neuroimage.,?65:52?58. doi: 10.1016/j.neuroimage.2012.09.048
- Schoffelen, J.-M., Oostenveld, R. and Fries, P. (2005): Neuronal coherence as a mechanism of effective corticospinal interaction. Science. 2005; 308: 111?113. doi: 10.1126/science.1107027
- Sejdić, E. and Lipsitz, L.A. (2013): Necessity of noise in physiology and medicine. Methods Programs Biomed., 111 (2): 459-470. http://dx.doi.org/10.1016/j.cmpb.2013.03.014
- Serruyaa, M.D. and Kahana, M.J. (2008): Techniques and devices to restore cognition. Brain Res., 192(2): 149?165. doi:10.1016/j.bbr.2008.04.007.
- Sharma, V. (2009): Deterministic chaos and fractal complexity in the dynamics of cardiovascular behavior: perspectives on a new frontier. Open Cardiovasc. Med. J.,3:110-123. doi: 10.2174/1874192400903010110.
- Sherman, S.M. and Guillery, R.W. (1996): Functional organization of thalamocortical relays. Journal of Neurophysiology., 76:1367?1395.
- Sikstr?m, S. and S?derlund, G. (2007): Stimulus-dependent dopamine release in attention-deficit/hyperactivity disorder. Psychol. Rev., 114, 1047-1075. http://dx.doi.org/10.1037/0033-295X.114.4.1047
- Soderlund, G., Bj?rk, C. and Gustafsson, P. (2016): Comparing Auditory Noise Treatment with Stimulant Medication on Cognitive Task Performance in Children with Attention Deficit Hyperactivity Disorder: Results from a Pilot Study. Psychol., 05 Sept. https://doi.org/10.3389/fpsyg.2016.01331
- Soderlund, G., Sikstrom, S. and Smart, A. (2007): Listen to the noise: noise is beneficial for cognitive performance in ADHD. J. Child Psychol. Psychiat., 48(8):840847. DOI: 1111/j.1469-7610.2007.01749.x
- Soderlund, G., Sikstrom, S., Loftesnes, J. and Sonuga-Barke, E. (2010): The effects of background white noise on memory performance in inattentive school children. Behav. Brain Functions. 6(1): 55. DOI: 1186/1744-9081-6-55. DOI: 10.1186/1744-9081-6-55
- Srinivasan, R., Bibi, F.A. and Nunez, P.L. (2006): Steady-state visual evoked potentials: distributed local sources and wave-like dynamics are sensitive to flicker frequency. Brain. Topogr., Spring;18(3):167?87. doi:? 1007/s10548-006-0267-4
- Stam, C.J. (2005): Nonlinear dynamical analysis of EEG and MEG: review of an emerging field. Clin. Neurophysiol., 116 (10): 2266-2301. DOI: 1016/j.clinph.2005.06.011
- Stein, B.E., Stanford, T.R. and Rowland, D.A. (2014): Development of multisensory integration from the perspective of the individual neuron. Rev. Neurosci., 15: 520?535. doi:10.1038/nrn3742
- Storch, D.,Gaston, K.J. andCep?k, J. (2002): Pink landscapes: 1/f spectra of spatial environmental variability and bird community composition. Proc. Biol. Sci.,?269(1502): 1791-1796.
- Strait, D.L., Parbery-Clark, A., Hittner, E. and Kraus, N. (2012): Musical training during early childhood enhances the neural encoding of speech in noise. Brain Lang., 123:191?201, doi:10.1016/j.bandl.2012.09.001, pmid:23102977.
- Sun, Y., Farzan, F., Barr, M. S., Kirihara, K., Fitzgerald, P. B., Light, G. A., et al. (2011). γ Oscillations in schizophrenia: mechanisms and clinical significance.?Brain Res.,?1413, 98?114. doi: 10.1016/j.brainres.2011.06.065
- Sur, M., Nagakura, I., Chen, N. and Sugihara H. (2013): Mechanisms of plasticity in the developing and adult visual cortex. Brain Res., 207;243?254.doi: 10.1016/B978-0-444-63327-9.00002-3
- Tan, C.O., Cohen, M.A., Eckberg, D.L. and Taylor, J.A. (2009): Fractal properties of human heart period variability: physiological and methodological implications. Physiol., 587(Pt 15): 3929?3941. doi: 10.1113/jphysiol.2009.169219.
- Taylor, R.P., Spehar, B., Donkelaar, P.V. and Hagerhall, C.M. (2011): Perceptual and physiological responses to Jackson Pollock?s fractals. Front. Hum. Neurosci., 5:60. http://dx.doi.org/10.3389/fnhum.2011.00060
- Tecchio, F., Zappasodi, F., Pasqualetti, P., Tombini, M., Salustri, C., Oliviero, A. et (2005): Rhythmic brain activity at rest from rolandic areas in acute mono- hemispheric stroke: a magneto encephalographic study. Neuroimage, 28:72--83. doi: 10.1016/j.neuroimage.2005.05.051
- Timme, N.M., Marshall, N.J., Bennett, N., Ripp, M., Lautzenhiser, E. and Beggs, J.M. (2016): Criticality Maximizes Complexity in Neural Tissue. Front. Physiol., 27 Sept 2016. https://doi.org/10.3389/fphys.2016.00425
- Uhlhaas, P.J., Haenschel, C., Nikolić, D. and Singer, W. (2008): The role of oscillations and synchrony in cortical networks and their putative relevance for the pathophysiology of schizophrenia. Schizophr. , 34: 927?943. doi: 10.1093/schbul/sbn062
- Valera, F., Lachaux, J.P., Rodriguez, E. and Martinerie J. (2001): The brainweb: phase synchronization and large-scale integration. Nature Rev. Neurosci., 2: 229?239. doi:10.1038/35067550
- van Praag, H., Kempermann, G., Gage, F.H. (2000): Neural consequences of environmental enrichment. Rev. Neurosci.,1?:191-198.?doi:10.1038/35044558
- Vasseur, D.A. and Yodzis, P. (2004): The color of environmental noise. Ecology. 85(4): 1146?1152.
- Vecchio, F.,Babiloni, C.,Lizio, R.,?Fallani Fde, V.,?Blinowska, K.,?Verrienti, G.,?Frisoni, G. and?Rossini, P.M. (2013): Resting state cortical EEG rhythms in Alzheimer's disease: toward EEG markers for clinical applications: a review. Clin. Neurophysiol.,?62:223-36.
- West, G.B., Brown, J.H. and Enquist, B.J. (1999): The fourth dimension of life: fractal geometry and allometric scaling of organisms. 284: 1677?1679. doi: 10.1126/science.284.5420.1677
- Westlake, K.P., Hinkley, L.B., Bucci, M., Guggisberg, A.G., Byl, N., Findlay, A.M. et al. (2012): Resting state α-band functional connectivity and recovery after stroke. Neurol., 237: 160--169. doi:10.1016/j.expneurol.2012.06.020
- Williams, J., Ramaswamy, D. and Oulhaj, A. (2006): 10 Hz flicker improves recognition memory in older people. BMC Neurosci., Mar 5;7:21. doi: 1186/1471-2202-7-21
- Williams, J.H. (2001): Frequency-specific effects of flicker on recognition memory. Neuroscience.104: 283?286.
- Yamamoto, Y.,Struzik, Z.R.,Soma, R.,?Ohashi, K. and Kwak, S. (2005): Noisy vestibular stimulation improves autonomic and motor responsiveness in central neurodegenerative disorders. Ann. Neurol., 58: 175-181. DOI: 10.1002/ana.20574
- Yuan, Q., Liu, X.H., Li, D.C., Wang, H.L. and Liu, Y.S. (2000): Effects of noise and music on EEG power spectrum. Space Med. Med. Eng. (Beijing), 13: 401?406.
- Yuvaraj, R. andMurugappan, M. (2016): Hemispheric asymmetry non-linear analysis of EEG during emotional responses from idiopathic Parkinson's disease patients. Cogn Neurodyn.,10(3):225-34. doi: 10.1007/s11571-016-9375-3. Epub 2016 Jan 28.
- Zhang, Y., Wang, C., Sun, C., Zhang, X., Wang, Y., Oi, H., He, F., Zhao, X., Wan, B., Du, J. and Ming, D. (2015): Neural complexity in patients with poststroke depression: A resting EEG study. Affect. Disord., 188:310-8. doi: 10.1016/j.jad.2015.09.017. Epub 2015 Sep 11.
- Zueva, M.V. (2013): Dynamic fractal flickering as a tool in research of non- linear dynamics of the evoked activity of a visual system and the possible basis for new diagnostics and treatment of neurodegenerative diseases of the retina and brain. World Appl. Sci. J., 27(4): 462?468. doi:10.5829/idosi.wasj.2013.27.04.13657
- Zueva, M.V. (2015): Fractality of sensations and the brain health: the theory linking neurodegenerative disorder with distortion of spatial and temporal scale-invariance and fractal complexity of the visible world. Aging Neurosci., 7:135. doi: 10.3389/fnagi.2015.00135
[Zueva Marina Vladimirovna. (2017); NONLINEAR STIMULATION TECHNOLOGIES TO ENHANCE THE EFFICIENCY OF THE THERAPY OF BRAIN DISORDERS AND EFFICACY OF COGNITIVE TRAINING. Int. J. of Adv. Res. 5 (Aug). 250-269] (ISSN 2320-5407). www.journalijar.com
Zueva Marina Vladimirovna, Professor of Pathophysiology, Dr. Biol. Sci., Head of the Department of Clinical Physiology of Vision, Moscow Helmholtz Research Institute of Eye Diseases.