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Spherical Harmonics Reveal Standing EEG Waves and Long-Range Neural Synchronization during Non-REM Sleep

机译:球形谐波揭示了非快速眼动睡眠中站立的脑电波和远距离神经同步

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Previous work from our lab has demonstrated how the connectivity of brain circuits constrains the repertoire of activity patterns that those circuits can display. Specifically, we have shown that the principal components of spontaneous neural activity are uniquely determined by the underlying circuit connections, and that although the principal components do not uniquely resolve the circuit structure, they do reveal important features about it. Expanding upon this framework on a larger scale of neural dynamics, we have analyzed EEG data recorded with the standard 10–20 electrode system from 41 neurologically normal children and adolescents during stage 2, non-REM sleep. We show that the principal components of EEG spindles, or sigma waves (10–16 Hz), reveal non-propagating, standing waves in the form of spherical harmonics. We mathematically demonstrate that standing EEG waves exist when the spatial covariance and the Laplacian operator on the head's surface commute. This in turn implies that the covariance between two EEG channels decreases as the inverse of their relative distance; a relationship that we corroborate with empirical data. Using volume conduction theory, we then demonstrate that superficial current sources are more synchronized at larger distances, and determine the characteristic length of large-scale neural synchronization as 1.31 times the head radius, on average. Moreover, consistent with the hypothesis that EEG spindles are driven by thalamo-cortical rather than cortico-cortical loops, we also show that 8 additional patients with hypoplasia or complete agenesis of the corpus callosum, i.e., with deficient or no connectivity between cortical hemispheres, similarly exhibit standing EEG waves in the form of spherical harmonics. We conclude that spherical harmonics are a hallmark of spontaneous, large-scale synchronization of neural activity in the brain, which are associated with unconscious, light sleep. The analogy with spherical harmonics in quantum mechanics suggests that the variances (eigenvalues) of the principal components follow a Boltzmann distribution, or equivalently, that standing waves are in a sort of “thermodynamic” equilibrium during non-REM sleep. By extension, we speculate that consciousness emerges as the brain dynamics deviate from such equilibrium.
机译:我们实验室以前的工作表明,大脑回路的连通性如何限制这些回路可以显示的活动模式。具体来说,我们已经表明,自发神经活动的主要成分是由基础电路连接唯一地确定的,并且尽管主要成分并不能唯一地解析电路结构,但它们确实揭示了其重要特征。在更大范围的神经动力学框架上扩展该框架后,我们分析了在第二阶段(非快速眼动)睡眠期间使用41至10个标准电极系统记录的41名神经学正常儿童和青少年的EEG数据。我们证明,EEG主轴或sigma波(10–16 Hz)的主要成分以球形谐波的形式揭示了非传播的驻波。我们用数学方法证明,当头部表面的空间协方差和Laplacian算子通勤时,存在站立的EEG波。这反过来意味着两个EEG通道之间的协方差随着它们相对距离的倒数而减小;我们用经验数据证实的关系。然后,使用体积传导理论,我们证明了表面电流源在更大的距离上更同步,并且将大型神经同步的特征长度确定为头部半径的1.31倍。此外,与脑电图纺锤体是由丘脑皮质环而非皮质皮质环驱动的假说相符,我们还显示了另外8名发育不全或complete体发育不全的患者,即皮质半球之间缺乏连接或没有连接,同样表现出球形谐波形式的驻在脑电波。我们得出的结论是,球谐函数是大脑中神经活动的自发性,大规模同步的标志,与无意识的轻度睡眠有关。量子力学中与球谐函数的类比表明,主成分的方差(特征值)遵循玻尔兹曼分布,或者等效地,在非快速眼动睡眠期间,驻波处于某种“热力学”平衡状态。通过扩展,我们推测意识随着大脑动力学偏离这种平衡而出现。

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