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Scale-free behaviour and metastable brain-state switching driven by human cognition, an empirical approach.
Cognitive Neurodynamics ( IF 3.7 ) Pub Date : 2019-04-12 , DOI: 10.1007/s11571-019-09533-0
Aldo Mora-Sánchez 1, 2 , Gérard Dreyfus 2 , François-Benoît Vialatte 1, 2
Affiliation  

We developed a framework to study brain dynamics under cognition. In particular, we investigated the spatiotemporal properties of brain state switches under cognition. The lack of electroencephalography stationarity is exploited as one of the signatures of the metastability of brain states. We correlated power law exponents in the variables that we proposed to describe brain states, and dynamical properties of non-stationarities with cognitive conditions. This framework was successfully tested with three different datasets: a working memory dataset, an Alzheimer disease dataset, and an emotions dataset. We discuss the temporal organization of switches between states, providing evidence suggesting the need to reconsider the piecewise model, in which switches appear at discrete times. Instead, we propose a more dynamically rich view, in which besides the seemingly discrete switches, switches between neighbouring states occur all the time. These micro switches are not (physical) noise, as their properties are also affected by cognition.

中文翻译:

一种无鳞的行为和由人类认知驱动的亚稳态脑状态转换,这是一种经验方法。

我们开发了一个框架来研究认知下的大脑动力学。特别是,我们研究了认知状态下脑状态切换的时空特性。缺乏脑电图平稳性是脑状态亚稳态的标志之一。我们将幂律指数与我们提出的用于描述脑状态的变量相关联,并将非平稳性的动力学特性与认知条件联系起来。该框架已成功通过三个不同的数据集进行了测试:工作记忆数据集,阿尔茨海默氏病数据集和情绪数据集。我们讨论状态之间切换的时间组织,提供证据表明需要重新考虑分段模型,在该模型中,切换在离散时间出现。相反,我们提出了一个更加动态丰富的视图,除了看似离散的开关,相邻状态之间的切换一直在发生。这些微动开关不是(物理)噪声,因为它们的特性也会受到认知的影响。
更新日期:2019-04-12
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