Efficiency of EEG-Guided Adaptive Neurostimulation Increases with the Optimization of the Parameters of Preliminary Resonant Scanning

A. I. Fedotchev; Федотчев А. И.; S. A. Polevaya; Полевая С. А.; S. B. Parin; Парин С. Б.

doi:10.31857/S0131164623600039

Efficiency of EEG-Guided Adaptive Neurostimulation Increases with the Optimization of the Parameters of Preliminary Resonant Scanning

Authors: Fedotchev A.I.¹, Polevaya S.A.², Parin S.B.²
Affiliations:
1. Institute of Cell Biophysics, RAS
2. National Research Nizhny Novgorod State University named after N.I. Lobachevsky
Issue: Vol 49, No 5 (2023)
Pages: 17-24
Section: Articles
URL: https://journals.rcsi.science/0131-1646/article/view/139833
DOI: https://doi.org/10.31857/S0131164623600039
EDN: https://elibrary.ru/XOJPVC
ID: 139833

Cite item

Full Text

Open Access
Restricted Access

Access granted
Restricted Access

Subscription Access

Abstract
About the authors
References
Supplementary files
Statistics

Abstract

The development and improvement of closed-loop methods for non-invasive brain stimulation is an actual and rapidly developing area of neuroscience. An innovative version of this approach, in which a person is presented with audiovisual therapeutic stimulation, automatically modulated by the rhythmic components of his electroencephalogram (EEG), is EEG-guided adaptive neurostimulation. The present study aims to experimentally test the assumption that the effectiveness of EEG-guided adaptive neurostimulation can be increased by optimizing the parameters of preliminary resonance scanning, which consists of LED photostimulation with stepwise increasing frequency in the range of θ-, α-, and β EEG-rhythms. In order to test this assumption, we compared the effects of two types of resonance scanning, which differ in the step length of the gradually increasing frequency of LED photostimulation. The experiments involved two equal groups of university students in a state of exam stress. Before EEG-guided adaptive stimulation, one of the groups underwent resonance scanning with a short (3 s), and the other with a long (6 s) step of a gradual increase in the frequency of photostimulation. Changes in the EEG and psychophysiological parameters were analyzed under the influence of combined (resonance scanning plus EEG-guided adaptive neurostimulation) interventions relative to the initial level. It was found that only with a short (3 s) step of increasing the frequency of photostimulation, significant increases in the power of EEG-rhythms are observed, accompanied by significant changes in subjective indicators – a decrease in the number of errors in the word recognition test, a decrease in the level of emotional maladaptation, and an increase in well-being scores. The revealed positive effects are already observed after single therapeutic procedures due to the optimal conditions for the involvement of the resonant and integration mechanisms of the brain and the mechanisms of neuroplasticity in the processes of normalization of body functions. The developed combined approach to neurostimulation after additional experimental studies can be used in a wide range of rehabilitation procedures.

Keywords

closed-loop non-invasive brain stimulation, rhythmic components of the EEG, automatic modulation, audiovisual stimulation, resonance mechanisms of the brain, cognitive rehabilitation, correction of stress-induced states.

References

Farkhondeh Tale Navi F., Heysieattalab S., Ramanathan D.S. et al. Closed-loop Modulation of the Self-regulating Brain: A Review on Approaches, Emerging Paradigms, and Experimental Designs // Neuroscience. 2022. V. 483. P. 104.
Wendt K., Denison T., Foster G. et al. Physiologically informed neuromodulation // J. Neurol. Sci. 2022. V. 434. P. 120121.
Fedotchev A., Parin S., Polevaya S., Zemlianaia A. EEG-based musical neurointerfaces in the correction of stress-induced states // Brain-Computer Interfaces. 2021. V. 9. № 2. P. 1.
Савчук Л.В., Полевая С.А., Парин С.Б. и др. Резонансное сканирование и анализ электроэнцефалограммы при определении зрелости корковой ритмики у младших школьников // Биофизика. 2022. Т. 67. № 2. С. 354. Savchuk L.V., Polevaya S.A., Parin S.B. et al. Resonance Scanning and Analysis of the Electroencephalogram in Determining the Maturity of Cortical Rhythms in Younger Schoolchildren // Biophysics. 2022. V. 67. № 2. P. 274.
Kawala-Sterniuk A., Browarska N., Al-Bakri A. et al. Summary of over Fifty Years with Brain-Computer Interfaces. A Review // Brain Sci. 2021. V. 11. № 1. P. 43.
Lejko N., Larabi D.I., Herrmann C.S. et al. Alpha Power and Functional Connectivity in Cognitive Decline: A Systematic Review and Meta-Analysis // J. Alzheimers Dis. 2020. V. 78. № 3. P. 1047.
Polevaya S.A., Parin S.B., Zemlyanaya A.A., Fedotchev A.I. Dynamics of EEG reactions under combination of resonance scanning and adaptive neurostimulation in patients with post-COVID syndrome // Opera Med. Physiol. 2022. V. 9. № 2. P. 103.
Доскин В.А., Лаврентьева Н.А., Мирошников М.Н., Шарай В.В. Тест дифференцированной самооценки функционального состояния // Вопросы психологии. 1973. Т. 19. № 6. С. 141. Doskin V.A., Lavrent’eva N.A., Miroshnikov M.N., Sharai V.V. [Differential self-assessment test for functional state] // Vopr. Psikhol. 1973. № 6. P. 141.
Катаев А.А., Бахчина А.В., Полевая С.А., Федотчев А.И. Связь между субъективными и объективными оценками функционального состояния человека (апробация методики экспресс-оценки уровня стрессированности) // Вестник психофизиологии. 2017. № 2. С. 62. Kataev A.A., Bakhchina A.V., Polevaya S.A., Fedotchev A.I. [Сonnection between subjective and objective estimates of hunan functional state (approbation of rapid test for measurement of stress level)] // Psychophysiology News. 2017. № 2. P. 62.
Zhang G., Cui Y., Zhang Y. et al. Computational exploration of dynamic mechanisms of steady state visual evoked potentials at the whole brain level // Neuroimage. 2021. V. 237. P. 118166.
Coelli S., Tacchino G., Visani E. et al. Higher order spectral analysis of scalp EEG activity reveals non-linear behavior during rhythmic visual stimulation // J. Neural. Eng. 2019. V. 16. № 5. P. 056028.
Nuidel I.V., Kolosov A.V., Demareva V.A., Yakhno V.G. Using a Phenomenological Mathematical Model to Reproduce the Interaction of Endogenous and Exogenous Oscillations under Neurocontrol // Modern Technol. Med. 2019. V. 11. № 1. P. 103.
Otero M., Lea-Carnall C., Prado P. et al. Modelling neural entrainment and its persistence: influence of frequency of stimulation and phase at the stimulus offset // Biomed. Phys. Eng. Express. 2022. V. 8. № 4. https://doi.org/10.1088/2057-1976/ac605a
Нарышкин А.Г., Галанин И.В., Егоров А.Ю. Управляемая нейропластичность // Физиология человека. 2020. Т. 46. № 2. С. 112. Naryshkin A.G., Galanin I.V., Egorov A.Yu. Controlled Neuroplasticity // Human Physiology. 2020. V. 46. № 2. P. 216.
Tonti E., Budini M., Vingolo E.M. Visuo-Acoustic Stimulation’s Role in Synaptic Plasticity: A Review of the Literature // Int. J. Mol. Sci. 2021. V. 22. № 19. P. 10783.
Sato N. Fast entrainment of human electroencephalogram to a theta-band photic flicker during successful memory encoding // Front. Hum. Neurosci. 2013. V. 7. P. 208.
Otero M., Prado-Gutiérrez P., Weinstein A. et al. Persistence of EEG Alpha Entrainment Depends on Stimulus Phase at Offset // Front. Hum. Neurosci. 2020. V. 14. P. 139.
Yoshimoto S., Jiang F., Takeuchi T. et al. Adaptation and visual discomfort from flicker // Vision Res. 2019. V. 160. P. 99.
Zhuang X., Tran T., Jin D. et al. Aging effects on contrast sensitivity in visual pathways: A pilot study on flicker adaptation // PLoS One. 2021. V. 16. № 12. P. e0261927.
Sanders P.J., Thompson B., Corballis P.M. et al. A review of plasticity induced by auditory and visual tetanic stimulation in humans // Eur. J. Neurosci. 2018. V. 48. № 4. P. 2084.
Perenboom M.J., van de Ruit M., Zielman R. et al. Enhanced pre-ictal cortical responsivity in migraine patients assessed by visual chirp stimulation // Cephalalgia. 2020. V. 40. № 9. P. 913.
Matsumoto H., Ugawa Y. Quadripulse stimulation (QPS) // Exp. Brain Res. 2020. V. 238. № 7–8. P. 1619.
Takabatake K., Kunii N., Nakatomi H. et al. Musical Auditory Alpha Wave Neurofeedback: Validation and Cognitive Perspectives // Appl. Psychophysiol. Biofeedback. 2021. V. 46. № 4. P. 323.
Takeuchi Y., Berényi A. Oscillotherapeutics – Time-targeted interventions in epilepsy and beyond // Neurosci. Res. 2020. V. 152. P. 87.