Sonification of electronic dynamical systems: Spectral characteristics and sound evaluation using EEG features

IF 3.1 3区 工程技术 Q2 NEUROSCIENCES
G. Acosta Martínez, E. Guevara, E. S. Kolosovas-Machuca, P. G. Rodrigues, D. C. Soriano, E. Tristán Hernández, L. J. Ontañón-García
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Abstract

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 (\(\delta\)) and theta (\(\theta\)) frequency bands. We observed differences of up to 30 and 40%, primarily concentrated in the brain’s frontal areas. This desynchronization in \(\delta\) and \(\theta\) bands, seen in individuals, has implications for regulating irregular \(\theta\) 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.

Abstract Image

电子动力系统的声学化:利用脑电图特征进行频谱特征和声音评估
混沌通常被描述为非线性动态系统的有限发展,它能创造出错综复杂且不重复的模式。在这项研究中,我们探讨了如何将混沌电子信号转化为声音刺激,并利用脑电图(EEG)探索其对大脑活动的影响。我们的实验有 31 名参与者参与,他们暴露在由三种电子实现过程产生的声音中:混沌吸引子信号、周期性极限循环信号和任意分布信号。我们的目标是分析特征和脑电图信号,揭示混沌听觉刺激与认知过程之间的复杂关系。有趣的是,混沌刺激会导致delta(\(\delta\))和theta(\(\theta\))频段的同步性降低。我们观察到的差异高达30%和40%,主要集中在大脑的额叶区域。这种在个体中出现的θ和θ频段的不同步现象,对于调节某些神经失调的不规则θ功率具有重要意义。另一方面,暴露于信号对脑电图读数的影响很小。这项研究极大地促进了我们对大脑如何对来自电子系统的刺激做出反应的理解。它为调节活动的应用提供了启示。通过研究不可预测的声音,我们可以了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开展进一步研究提供了可能性。
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来源期刊
Cognitive Neurodynamics
Cognitive Neurodynamics 医学-神经科学
CiteScore
6.90
自引率
18.90%
发文量
140
审稿时长
12 months
期刊介绍: Cognitive Neurodynamics provides a unique forum of communication and cooperation for scientists and engineers working in the field of cognitive neurodynamics, intelligent science and applications, bridging the gap between theory and application, without any preference for pure theoretical, experimental or computational models. The emphasis is to publish original models of cognitive neurodynamics, novel computational theories and experimental results. In particular, intelligent science inspired by cognitive neuroscience and neurodynamics is also very welcome. The scope of Cognitive Neurodynamics covers cognitive neuroscience, neural computation based on dynamics, computer science, intelligent science as well as their interdisciplinary applications in the natural and engineering sciences. Papers that are appropriate for non-specialist readers are encouraged. 1. There is no page limit for manuscripts submitted to Cognitive Neurodynamics. Research papers should clearly represent an important advance of especially broad interest to researchers and technologists in neuroscience, biophysics, BCI, neural computer and intelligent robotics. 2. Cognitive Neurodynamics also welcomes brief communications: short papers reporting results that are of genuinely broad interest but that for one reason and another do not make a sufficiently complete story to justify a full article publication. Brief Communications should consist of approximately four manuscript pages. 3. Cognitive Neurodynamics publishes review articles in which a specific field is reviewed through an exhaustive literature survey. There are no restrictions on the number of pages. Review articles are usually invited, but submitted reviews will also be considered.
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