Study of the Role of Resonance Phenomena in Brain Responses to Rhythmic Photostimulation with Linearly Increasing Frequency

IF 4.033 Q4 Biochemistry, Genetics and Molecular Biology
A. I. Fedotchev
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引用次数: 0

Abstract

The issue of the mechanisms underlying brain responses to rhythmic photostimulation generates contradictory opinions. To identify the mechanisms of rhythmic photostimulation, it is necessary to analyze individual spectra using the most detailed set of stimulation frequencies. In this paper, in order to assess the role of resonance phenomena in the effects of rhythmic photostimulation, an analysis of the fine structure of individual EEG spectra was performed during rhythmic photostimulation, the frequency of which smoothly increases linearly from 1 to 20 Hz. It was found that within each of the main EEG frequency ranges (delta, theta, alpha, and beta), discrete sections of the individual EEG spectrum are detected that are resonantly activated in the subject when the stimulation frequency or its harmonics coincide with their natural frequency. The basic role of resonance mechanisms is demonstrated when considering the advantages of resonance scanning, a promising version of rhythmic photostimulation, in which the stimulation parameters are set programmatically with a step-by-step increase in frequency.

Abstract Image

共振现象在频率线性递增的节律性光刺激脑反应中的作用研究
关于大脑对节律性光刺激的反应机制的问题产生了相互矛盾的观点。为了确定节律性光刺激的机制,有必要使用最详细的刺激频率集来分析单个光谱。为了评估共振现象在节律性光刺激效应中的作用,本文对节律性光刺激时个体脑电图的精细结构进行了分析,其频率在1 ~ 20 Hz范围内呈线性平滑增长。研究发现,在每个主要的脑电图频率范围内(delta、theta、alpha和beta),当刺激频率或其谐波与其固有频率一致时,可以检测到个体脑电图频谱的离散部分在受试者中被共振激活。当考虑到共振扫描的优势时,共振机制的基本作用得到了证明,共振扫描是一种有前途的有节奏的光刺激,其中刺激参数是随着频率的逐步增加而程序化地设置的。
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来源期刊
Biophysics
Biophysics Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
1.20
自引率
0.00%
发文量
67
期刊介绍: Biophysics is a multidisciplinary international peer reviewed journal that covers a wide scope of problems related to the main physical mechanisms of processes taking place at different organization levels in biosystems. It includes structure and dynamics of macromolecules, cells and tissues; the influence of environment; energy transformation and transfer; thermodynamics; biological motility; population dynamics and cell differentiation modeling; biomechanics and tissue rheology; nonlinear phenomena, mathematical and cybernetics modeling of complex systems; and computational biology. The journal publishes short communications devoted and review articles.
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