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

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Abstract

The development and improvement of closed-loop methods for non-invasive brain stimulation is a 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 photo-stimulation 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 photo-stimulation. The experiments involved two equal groups of university students in a state of exam stress. Before EEG-guided adaptive stimulation, one of the groups resonance transient scanning with a short (3 s), and the other with a long (6 s) step of a gradual increase in the frequency of photo-stimulation. 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 photo-stimulation, 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.

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ACKNOWLEDGMENTS

The authors are grateful to D.V. Kuznetsov, who took part in the registration and primary processing of the EEG.

Funding

The study was supported by the Russian Science Foundation (grant no. 22-18-20 075).

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Authors and Affiliations

  1. Institute of Cell Biophysics, Russian Academy of Sciences, Pushchino, Russia

    A. I. Fedotchev

  2. National Research Nizhny Novgorod State University, Nizhny Novgorod, Russia

    S. A. Polevaya & S. B. Parin

Authors
  1. A. I. Fedotchev
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  2. S. A. Polevaya
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  3. S. B. Parin
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Contributions

A.I. Fedotchev, S.A. Polevaya, S.B. Parin: the idea of the work and the planning of the experiment, writing and editing the manuscript, S.A. Polevaya, S.B. Parin: work management, methodological development, experiment planning and data collection, A.I. Fedotchev, S.B. Parin: data processing.

Corresponding author

Correspondence to A. I. Fedotchev.

Ethics declarations

Ethics approval. All studies were carried out in accordance with the principles of biomedical ethics, formulated in the Declaration of Helsinki 1964 and its subsequent updates, and approved Ethical Committee of the Nizhny Novgorod State University (Nizhny Novgorod) (protocol No. 46 dated February 11, 2021).

Informed consent. Each participant in the study provided a voluntary written informed consent signed by him after explaining to him the potential risks and benefits, as well as the nature of the upcoming study.

Conflict of interest. The authors of this work declare that they have no conflicts of interest.

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Fedotchev, A.I., Polevaya, S.A. & Parin, S.B. Efficiency of EEG-Guided Adaptive Neurostimulation Increases with the Optimization of the Parameters of Preliminary Resonant Scanning. Hum Physiol 49, 464–470 (2023). https://doi.org/10.1134/S036211972360008X

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  • DOI: https://doi.org/10.1134/S036211972360008X

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