» Articles » PMID: 36983776

Resonance Scanning As an Efficiency Enhancer for EEG-Guided Adaptive Neurostimulation

Overview
Journal Life (Basel)
Specialty Biology
Date 2023 Mar 29
PMID 36983776
Authors
Affiliations
Soon will be listed here.
Abstract

Electroencephalogram (EEG)-guided adaptive neurostimulation is an innovative kind of non-invasive closed-loop brain stimulation technique that uses audio-visual stimulation on-line modulated by rhythmical EEG components of the individual. However, the opportunity to enhance its effectiveness is a challenging task and needs further investigation. The present study aims to experimentally test whether it is possible to increase the efficiency of EEG-guided adaptive neurostimulation by pre- strengthening the modulating factor (subject's EEG) through the procedure of resonance scanning, i.e., LED photostimulation with the frequency gradually increasing in the range of main EEG rhythms (4-20 Hz). Thirty-six university students in a state of exam stress were randomly assigned to two matched groups. One group was presented with the EEG-guided adaptive neurostimulation alone, whereas another matched group was presented with the combination of resonance scanning and EEG-guided adaptive neurostimulation. The changes in psychophysiological indicators after stimulation relative to the initial level were used. Although both types of stimulation led to an increase in the power of EEG rhythms, accompanied by a decrease in the number of errors in the word recognition test and a decrease in the degree of emotional maladjustment, these changes reached the level of significance only in experiments with preliminary resonance scanning. Resonance scanning increases the brain's responsiveness to subsequent EEG-guided adaptive neurostimulation, acting as a tool to enhance its efficiency. The results obtained clearly indicate that the combination of resonance scanning and EEG-guided adaptive neurostimulation is an effective way to reach the signs of cognitive improvement in stressed individuals.

Citing Articles

Brain State-Dependent Non-Invasive Neurostimulation with EEG Feedback: Achievements and Prospects (Review).

Fedotchev A, Zemlyanaya A Sovrem Tekhnologii Med. 2025; 15(5):33-41.

PMID: 39967913 PMC: 11832065. DOI: 10.17691/stm2023.15.5.04.

References
1.
Kawala-Sterniuk A, Browarska N, Al-Bakri A, Pelc M, Zygarlicki J, Sidikova M . Summary of over Fifty Years with Brain-Computer Interfaces-A Review. Brain Sci. 2021; 11(1). PMC: 7824107. DOI: 10.3390/brainsci11010043. View

2.
Pino O . A randomized controlled trial (RCT) to explore the effect of audio-visual entrainment among psychological disorders. Acta Biomed. 2022; 92(6):e2021408. PMC: 8823583. DOI: 10.23750/abm.v92i6.12089. View

3.
Lampe L, Muller-Hilke B . Mindfulness-based intervention helps preclinical medical students to contain stress, maintain mindfulness and improve academic success. BMC Med Educ. 2021; 21(1):145. PMC: 7934360. DOI: 10.1186/s12909-021-02578-y. View

4.
Foldi T, Lorincz M, Berenyi A . Temporally Targeted Interactions With Pathologic Oscillations as Therapeutical Targets in Epilepsy and Beyond. Front Neural Circuits. 2021; 15:784085. PMC: 8693222. DOI: 10.3389/fncir.2021.784085. View

5.
Coelli S, Tacchino G, Visani E, Panzica F, Franceschetti S, Bianchi A . Higher order spectral analysis of scalp EEG activity reveals non-linear behavior during rhythmic visual stimulation. J Neural Eng. 2019; 16(5):056028. DOI: 10.1088/1741-2552/ab296e. View