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Power law scaling in synchronization of brain signals depends on cognitive load

机译:脑信号同步中的幂律定标取决于认知负荷

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摘要

As it has several features that optimize information processing, it has been proposed that criticality governs the dynamics of nervous system activity. Indications of such dynamics have been reported for a variety of in vitro and in vivo recordings, ranging from in vitro slice electrophysiology to human functional magnetic resonance imaging. However, there still remains considerable debate as to whether the brain actually operates close to criticality or in another governing state such as stochastic or oscillatory dynamics. A tool used to investigate the criticality of nervous system data is the inspection of power-law distributions. Although the findings are controversial, such power-law scaling has been found in different types of recordings. Here, we studied whether there is a power law scaling in the distribution of the phase synchronization derived from magnetoencephalographic recordings during executive function tasks performed by children with and without autism. Characterizing the brain dynamics that is different between autistic and non-autistic individuals is important in order to find differences that could either aid diagnosis or provide insights as to possible therapeutic interventions in autism. We report in this study that power law scaling in the distributions of a phase synchrony index is not very common and its frequency of occurrence is similar in the control and the autism group. In addition, power law scaling tends to diminish with increased cognitive load (difficulty or engagement in the task). There were indications of changes in the probability distribution functions for the phase synchrony that were associated with a transition from power law scaling to lack of power law (or vice versa), which suggests the presence of phenomenological bifurcations in brain dynamics associated with cognitive load. Hence, brain dynamics may fluctuate between criticality and other regimes depending upon context and behaviors.
机译:由于它具有优化信息处理的若干功能,因此有人提出,关键性决定着神经系统活动的动态。对于从体外切片电生理到人类功能磁共振成像的各种体外和体内记录,已经报道了这种动力学的指示。但是,关于大脑实际上是在接近临界状态还是在其他控制状态(例如随机或振荡动力学)中进行操作,仍存在大量争论。用于调查神经系统数据的重要性的工具是检查幂律分布。尽管发现存在争议,但在不同类型的录音中也发现了这种幂律定标。在这里,我们研究了有自闭症儿童和无自闭症儿童执行的执行功能任务期间,从磁脑电图记录得出的相位同步分布中是否存在幂律定标。对自闭症患者和非自闭症患者不同的大脑动力学进行表征非常重要,以便发现可以帮助诊断或就自闭症可能的治疗干预提供见识的差异。我们在这项研究中报告说,在相位同步指数的分布中幂律定标不是很普遍,在对照组和自闭症组中,其发生频率相似。此外,幂律定标往往会随着认知负荷(困难或参与任务)的增加而减少。有迹象表明,相位同步的概率分布函数发生了变化,这与从幂律定标到幂律缺乏(反之亦然)的转变有关,这表明与认知负荷相关的脑动力学中存在现象学分叉。因此,取决于上下文和行为,大脑动力学可能会在临界状态和其他状态之间波动。

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