首页> 外文会议>Conference on Information Technology and Quantitative Management >Harmonic fractals in the brain: transient tuning and synchronic coordination in the quasi-chaotic background of ongoing neural EEG activity.
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Harmonic fractals in the brain: transient tuning and synchronic coordination in the quasi-chaotic background of ongoing neural EEG activity.

机译:大脑中谐波分形:持续神经脑电坡活动准混沌背景中的瞬态调整与同步协调。

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Despite the long-time that EEG has been used in neurophysiological characterization of the brain functioning and the diverse methods that has been used to enhance its predictive power, frequency resolution and time dependent description of EEG features, it remain at the level of gross depictions. By mean of collapsing time, through doing a power spectrum analysis, the focus is put on amplitude differences among wide EEG (delta, theta, alpha, beta and gamma) frequency bands or, without any further consideration of the midor long-term time course evolution, of the ever changing neural processes of the brain. To try to solve this, we took an exploratory approach that consider both weaknesses of the problem by taking into account, simultaneously, the synchrony of the time course of the EEG signal and the harmonic tuning among single narrow short-time frequency bands along the whole spectrum from 0,5 to 60 Hz. To characterize the neural phenomena in these terms we cleaned and selectively filtered and transformed the EEG signal into music, and used the so-transformed EEG recording to find harmonic fractal elements in it during the execution of a number of exploratory basal and experimental tests in humans. We sustained our search on the fact that EEG signal can be described as a particular type of quasi-predictable noise, also called pink or fractal noise. We looked for detection of specific and transient synchronized and wide tuned elements of EEG brain activity characterized by high self-similarity or high values of statistical autocorrelation expressed in regular shaped associated plots. We found and characterized harmonic fractals coming from EEG of 5 subjects during the execution of three exploratory experimental conditions: basal resting state with eyes open and closed; a cognitive challenge consisting in the execution of an abbreviated version of the Raven visual intelligence test; and during four minutes playing an action video game. Results showed the presence of characteristic harmonic fractals in all the conditions tested and revealed intra and inter-individual differences that can eventually be used to characterize particular brain activity states related to specific sensory, or cognitive, processes or may be indicating individual differences in the way to process information, in particular situations, developmental stage, illness or neuropsychological disorders.
机译:尽管脑电图已经在大脑功能,并已用于提高其预测能力的方法多样,频率分辨率和脑电图特征随时间变化的描述的神经生理表征被用于长时间,它保持在总描绘的水平。由平均塌陷时间,通过做一个功率谱分析的,重点放在中广泛EEG振幅差(δ,θ,α,β和γ)的频带,或者不经任何进一步考虑midor长期时间过程的大脑不断变化的神经过程的演变,。为了尝试解决这个问题,我们采取了一个探索的办法,考虑到,同时,脑电图信号的时间过程,沿着整单窄短时频段间的谐波调谐的同步考虑问题的两个弱点谱从0.5到60赫兹。为了表征神经现象,在这些方面,我们清理和选择性过滤,并改变了EEG信号转换成音乐,以及所使用的所谓的转化脑电图记录了一些探索性的基础和实验测试在人类中的执行过程中找到它的谐波分形元。我们维持我们对EEG信号可以被描述为一个特定类型的准预测的噪声,也被称为粉红或分形噪声的事实搜索。我们寻找检测特定和瞬态同步,并具有高的自相似性或在规则形状相关联的曲线图表示统计自相关的高值EEG大脑活动的宽调谐元件。我们发现并表征谐波分形三个探索实验条件下执行期间从5个科目的脑电图来:眼睛基础静息状态下打开和关闭;由在乌鸦视觉智力测验的缩略版本的执行的认知挑战;并在4分钟播放动作视频游戏。结果表明特征谐波分形的存在下,在所有测试的条件和显示,最终可以用于表征特定脑活动状态相关的特定感觉或认知,过程或者可以被指示在方法的个体差异内和个体间的差异处理信息,在特定情况下,发育阶段,疾病或神经精神障碍。

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