Acosta Martínez G, Guevara E, Kolosovas-Machuca E S, Rodrigues P G, Soriano D C, Tristán Hernández E, Ontañón-García L J
Instituto de Investigación en Comunicación Óptica, Universidad Autónoma de San Luis Potosí, Av Karakorum # 1470, Lomas 4ta Sección, S. L. P., 78216 San Luis Potosí, Mexico.
Coordinación para la Innovación y la Aplicación de la Ciencia y la Tecnología, Universidad Autónoma de San Luis Potosí, Sierra Leona 550, Lomas 2da. Sección, S. L. P., 78210 San Luis Potosí, Mexico.
Cogn Neurodyn. 2024 Oct;18(5):2751-2766. doi: 10.1007/s11571-024-10112-1. Epub 2024 May 9.
Chaos is often described as the limited development of nonlinear dynamic systems that create intricate and non-repetitive patterns. In this study, we questioned how chaotic electronic signals can be transformed into sound stimuli and explored their impact on brain activity using Electroencephalography (EEG). Our experiment involved 31 participants exposed to sounds generated from three processes from electronic implementations: signals from chaotic attractors, periodic limit cycles,and aleatory distributions. Our goal was to analyze characteristics and EEG signals to uncover the complex relationship between chaotic auditory stimuli and cognitive processes. Interestingly the chaotic stimuli caused a reduction in synchronization in the delta ( ) and theta ( ) frequency bands. We observed differences of up to 30 and 40%, primarily concentrated in the brain's frontal areas. This desynchronization in and bands, seen in individuals, has implications for regulating irregular power in certain neural disorders. On the other hand, exposure to signals had mostly minimal effects on EEG readings. This research significantly contributes to our understanding of how the brain responds to stimuli derived from electronic systems. It sheds light on applications for modulating activity. Examining unpredictable sounds offers an understanding of the unique impacts of chaotic auditory inputs on brain activity, opening possibilities for further investigations at the crossroads of chaos theory, acoustics, and neuroscience.
The online version contains supplementary material available at 10.1007/s11571-024-10112-1.
混沌通常被描述为非线性动力系统的有限发展，该系统会产生复杂且非重复的模式。在本研究中，我们探讨了混沌电子信号如何转化为声音刺激，并使用脑电图（EEG）研究了它们对大脑活动的影响。我们的实验涉及31名参与者，他们接触到由电子实现的三个过程产生的声音：混沌吸引子的信号、周期性极限环和随机分布。我们的目标是分析特征和脑电图信号，以揭示混沌听觉刺激与认知过程之间的复杂关系。有趣的是，混沌刺激导致δ（ ）和θ（ ）频段的同步性降低。我们观察到差异高达30%和40%，主要集中在大脑的额叶区域。个体中观察到的δ和θ频段的这种去同步化，对调节某些神经疾病中不规则的δ功率具有重要意义。另一方面，接触信号对脑电图读数大多影响极小。这项研究对我们理解大脑如何响应来自电子系统的刺激做出了重大贡献。它揭示了调节活动的应用。研究不可预测的声音有助于理解混沌听觉输入对大脑活动的独特影响，为在混沌理论、声学和神经科学的交叉领域进行进一步研究开辟了可能性。
在线版本包含可在10.1007/s11571-024-10112-1获取的补充材料。
