Volume 2, Issue 3, September 2018, Page: 46-55
System Organization of Clinical Symptoms and EEG-Characteristics of Patients with Depressive Disorders in Harmonic Sound Therapy
Elena Grigorieva, Department of Psychiatry, Yaroslavl State Medical University, Yaroslavl, Russia
Alexey Dyakonov, Department of Psychiatry, Yaroslavl State Medical University, Yaroslavl, Russia
Valeriy Volovenko, Department of Psychiatry, Yaroslavl State Medical University, Yaroslavl, Russia
Received: Sep. 25, 2018;       Accepted: Dec. 22, 2018;       Published: Jan. 29, 2019
DOI: 10.11648/j.cnn.20180203.11      View  25      Downloads  7
Abstract
The work is devoted to the search for the systemic organization of clinical symptoms and EEG characteristics of patients with recurrent depressive disorders. It determines the effect of harmonic sound in accordance with the extremes of the maximum and/or minimum EEG spectrum on clinical and EEG characteristics of patients, loosening of stable pathological relationships in order to reduce or eliminate depression. The study involved 58 patients. 35 of them were diagnosed with prolonged and chronic depressive disorder, which to no avail was treated with various antidepressants of the group of SSRIs in combination with benzodiazepines or small doses of atypical (olanzapine, sulpiride) or classical (chlorprotixen, sonapax) antipsychotics. At the time of sound therapy, the drugs were not canceled. 22 patients had repeated depressive episode in the past (two to four weeks ago), untreated. The search for the systemic organization of clinical symptoms and EEG characteristics was carried out using analytical mathematics. In this section factor analysis with factor rotation were used. The positive outcome of the sessions of sound exposure, as well as the reaction to the sound of the last session (no drowsiness or vigor, there is a weakening or elimination of depression), and the number of sessions depended on the removal of the most stable combinations of symptoms (according to the HAM- D scale). They reflected the reciprocity of their own symptoms of depression and anxiety in both groups of patients and made a "hard link" of the system. Other combinations of symptoms-flexible links of the system-are less stable. Acting on them in a stable pathological condition (depression) are less radical. Harmonic sound effects cause a significant restructuring of the background EEG observed at the time of exposure and after it in both groups of patients. The features of EEG in patients in complete or incomplete remission, as well as in the absence of the effect of treatment. Neurophysiological "hard link" of the system organization of EEG characteristics could not be identified. An attempt to explain the results is made. Perhaps the "hard link" of the system organization of EEG characteristics is at a different energy level or requires a different mathematical approach.
Keywords
Harmonic Sound, Depression, Stable Clinical and EEG Connections
To cite this article
Elena Grigorieva, Alexey Dyakonov, Valeriy Volovenko, System Organization of Clinical Symptoms and EEG-Characteristics of Patients with Depressive Disorders in Harmonic Sound Therapy, Clinical Neurology and Neuroscience. Vol. 2, No. 3, 2018, pp. 46-55. doi: 10.11648/j.cnn.20180203.11
Copyright
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Reference
[1]
Bekhtereva N. P. “Delusions of the brain and labyrinths of life”.-S. Pb.-1999.
[2]
Bekhtereva N. P. “Human brain-biocomputer” / / Doc. World Wide. Congress. "The outcome of the Millennium" in 2008.- p. 1-9. file // E. EEG-sound\ mysteries of the brain.
[3]
Bekhtereva N. P. “Neurophysiological aspects of mental activity”.–L.:Nauka. 1971.- 119s.
[4]
Grigorieva E. A., A. A. Pevzner, Shakhnazarov S. S., “Automating the detection of synchronization and desynchronization of the EEG” // South Siberia. scientific. bulletin. Science.- techne. Gah. Section I. Math. modeling and automation. in the industry. and scientific. research. -2012. - p. 25-28.
[5]
Grigorieva E. A., Pevzner A. A., Shakhnazarov S. S. “System of synthesis of acoustic influence for correction of psychophysiological state”. SB. work. Yaroslavl innovation and technology forum "Eureka". The best innovators. Projects. -2012. - p. 22-23.
[6]
Grigorieva E. A., Pevzner, A. A., Dyakonov, A. L., “Dynamics of a depressive disorder in response to the harmony sound in accordance with the extrema of the maximum and minimum of the spectrum of the background EEG” // J. of social. and wedge. psychiatrist.–2013. -3.- p. 60-67.
[7]
Grigorieva E. A., Pevzner, A. A., “Method of exposure on the body”. Pat. RF №2143939. Bul. INF. No. 1. 10.01.2000.
[8]
Pevzner A. A., Grigoriev E. A., Dyakonov, A. L., Pevzner, L. A., Us Pat. RF # 22965995, A61N7/00, A61M21/00, A61B5/94. “The method of influence on the body”. Bul. No. 19.-10.04.2007.
[9]
Pevzner A. A., Grigorieva E. A., Shakhnazarov S. S., Dyakonov A. L., Cornavin A. V. “The Method of treatment of mental disorders” // Patent for the invention №2462181. - 21.03.2011.
[10]
Pevzner A. A., Grigorieva E. A., Shakhnazarov S. S., Dyakonov A. L., Cornavin A. V. “The Method of determining synchronization and desynchronization of bioelectric activity of the brain”. The patent for the invention №2454172. - 03.02.2011.
[11]
Pevzner A. A., Grigorieva E. A., Dyakonov A. L., “Bundesrepublic Deutschland”. Urkundeaber die Eintragung des Gebrauchsmusters № 20 2013 002 906.4.–2013.
[12]
Olesen I., Gustavisson A., Svensson M., Wittchen H.–U., Jonsson B. “On behalf of the CDBE 2010 study group and the European Brain Council. The economic cost of brain disorders in Europe” // Eur. J. Neurol. -2012. -19.–p. 155-162.
[13]
Somers J. M., Goldner E. M., Waraich P., Hsu L. “Prevalence and incidence studies of anxiety disorders: a systematic review of the eiterature” // Can. J. Psychiatry.–2006.-51.–p. 100-113.
[14]
Vetrogradova O. P. “General principles of treatment and prognosis of depression” // Proc. scientific. works "Psychopathological and pathogenetic aspects of prognosis and therapy of depression".–M. -1985. - p. 5-10.
[15]
Bolton J. M., Pagura J., Enns M. W., Craut B., Sareen J. A. “Population-based longitudinal study of risk factors for suicide attempts in major depressive disorder” // J. Psychiatr. Res.–2010.-44.-13.–p. 817-826.
[16]
Dementieva N. F. “Psychopathology of anxiety” // J. neuro. psychiatrist. -1980. -12. S. 1856-1861.
[17]
Lehmann H. E. “The clinican's view of anxiety and depression” // J. Clin. Psychiatr. -1983.–44.–8.–p. 3-7.
[18]
Anokhin P. K. “Biology and neurophysiology of the conditioned reflex”. -M.: Science.-1968.- 547s.
[19]
George M., Schlaefer T. “Brain stimulation treatments for depression” // Word J. Biolig. Psychiatry. 2014.-15.–p.167-168.
[20]
Korobeinikova, I. I. “The Relationship of the spatial synchronization of potentials in the theta range of the EEG of a person with different success of visual-spatial problems” // J. physiology. chelov.: -2011. -37.-5.- p. 26-34.
[21]
Melnikova T. S., Sukarsi E. E., Kovalev A. V., Mosolov S. N. “The dynamics of spectral characteristics of EEG during the application of transcranial magnetic stimulation in patients with resistant depression” // J. neurology. psychiatrist.–2015. -8. - p. 35-41.
[22]
Edelman G. M., “The remembered present. A biological theory of conciouness”. New York: Basic Books Inc.–1993.
[23]
Grigoriev Yu. G. “Man in the electromagnetic field (the essence of the situation, the expectation of bioeffect and hazard assessment)” // Radiation biology. Radioecology. -1997. -37. -4.–S. 690-702.
[24]
Iluchenok I. R. “The Difference of the frequency characteristics of the EEG in the perception of positive emotional and neutral words” // Zh. Vyssh. nervous. deyat.–1998. -48. - p. 447 -450.
[25]
Ivanitsky. A. M. “The Recognition of the type solved in the mind of the task of a few seconds the EEG using learner classifier” // Zh Vyssh. nervous. deyat. -1997.-4.- p. 743-747.
[26]
Klimesch W. “EEG alpha and theta oscillation reflect cognitive and memory performance: a review and analysis” // Brain Res.-1999.-29.-2-3.-p. 169-195.
[27]
Grin-Yatsenko V. A., Baas, Ponomarev V. A., Kropotov Yu. D. “Electroencephalograms in patients with initial manifestations of depression. Independent component analysis” / / Fiziol. chelov. -2011.-31.-1.- p. 45-55.
[28]
Roemer R. A., Shagass C., Dubin W. R. et al. “Quantitative EEG in elderly depressive” // Brain. Topog.-1992.-p. 285-291.
[29]
Volf N. V., Passynkova N. R. “EEG mapping in seasonal affective disorders” // J. Affect. Disorrd. -2002.-72.–p. 61-69.
[30]
Edelman G. M., Gaily J. A. “Nitric oxide: Linking space and time in the brain” // Proc. Natl. Acad. Sci. USA. -1992. -89.-24.-p. 11651-11652.
[31]
Steriade M., “Grouping of brain rhytms in corticothalamic systems” // Neuroscience.-2006.-137.-4.–p. 1087-1106.
Browse journals by subject