The Influence of The Method of Bioacoustic Correction Eeg Neurofeedback-Based System on The Restoration of Psychophysiological Parameters After Stress

Year 2019, Volume: 4 Issue: 1, 4 - 12, 01.05.2019

Elena N. Ashanına, Mikhail N. Senık

Abstract

The objective of our study was to determine the possibility of using the bioacoustic correction BAC to restore the psycho-emotional state after stress to prevent the development of post-traumatic disorder. 20 students were examined. Before the procedure of BAC, each student spent 20 minutes at a computer simulating first-person fighting. It was found that during the course of the procedures of listening to the test subjects of the acoustic image of their own Electroencephalography EEG in real time in the main group there is a more rapid and significant recovery of the psycho-emotional sphere normalization of stress level, blood pressure and heart rate than in the control group. These changes are accompanied by restructuring of EEG parameters. To a greater extent, changes in the frequency structure of EEG affect the right hemisphere. There is a decrease in the activity of the alpha range and an increase in the activity of the theta range in the frontal leads, an increase in the beta activity of the occipital lead

Keywords

audiovisual impact, biological feedback, EEG - biofeedback, sensory stimulation, psychological rehabilitation

References

• Ashanina E. N., Kulakov D.V. (2012). Teoriya i praktika korrekcii dezadaptivnyh nervno psihicheskih sostoyanij s pomoshhyu audiovizualnogo vozdejstviya i biologicheski obratnoj svyazi (Theory and practice of correction of non-adaptive neuro–psychiatric conditions using audiovisual effects and bio feedback) // Vol.2. SPb. : Polytechnic-service, 101 PP. (In Russ.)
• Baars B.J., Gage N.M. (2010). Cognition brain and consciousness, introduction to cognitive neuroscience. Oxford.
• Bressler SL1, Menon V. (2010). Large-scale brain networks in cognition: emerging methods and principles. Trends Cogn Sci. Jun;14(6):277-290.
• Contreras D., Steriade M. (1997). Synchronization of low-frequency rhythms in corticothalamic networks. Neuroscience. 76 (3): 11-24.
• Ghajar J, Ivry RB. (2009). The predictive brain state: asynchrony in disorders of attention Neuroscientist. Jun;15(3):232-42.
• Jausovec N, Habe K. (2003). The “Mozart effect”: an electroencephalographic analysis employing the methods of induced event-related desynchronization/synchronization and event-related coherence. Brain Topogr,16:73-84.
• Jones EG. (1998). A new view of specific and nonspecific thalamocortical connections. Adv Neurol. 77:49–71.
• Jones EG. The thalamic matrix and thalamocortical synchrony. Trends Neurosci. 2001;24:595–601.
• Jones EG. (2003). Chemically defined parallel pathways in the monkey auditory system. Ann NY Acad Sci. 999:218–233.
• Koelsch S. (2010). Towards a neural basis of music-evoked emotions. Trends in Cognitive Sciences. 14 (3 1): 131-137.
• Konstantinov K.V. (2002). Samoregulyaciya psihofiziologicheskogo sostoyaniya cheloveka v usloviyah EEG-akusticheskoj obratnoj svyazi (Self-Regulation of the human psychophysiological state in terms of EEG-acoustic feedback): Dis. ... kand. Biol. sciences'. SPb, 121 p. (In Russ.)
• Musacchia G, Large EW, Schroeder C.E. (2014). Thalamocortical mechanisms for integrating musical tone and rhythm. Hear Res. Feb;308:50-59.
• Ngo H.V., Martinetz T.,2 Jan Born J., Molle M. (2013). Auditory Closed-Loop Stimulation of the Sleep Slow Oscillation Enhances Memory. Neuron. 78: 1-9.
• Rauscher F.H., Shaw G.L., Ky K.N. (1993). Music and spatial task performance. Nature. V. 365 N 6447. P. 611.
• Steriade M. (2000). Corticothalamic resonance, state of vigilance and mentation. Neuroscience. 101 (2): 243-276.