Pattern dynamics and stochasticity of the brain rhythms
Pattern dynamics and stochasticity of the brain rhythms
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DOI：
10.1101/2022.05.06.490960
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发表时间：
2022-05
影响因子：
11.1
通讯作者：
C. Hoffman;Jingheng Cheng;D. Ji;Y. Dabaghian
中科院分区：
文献类型：
--
作者：
C. Hoffman;Jingheng Cheng;D. Ji;Y. Dabaghian
我们目前对脑节律的理解是基于量化其瞬时或时间平均特征。波的实际结构--它们在有限时间尺度上的形状和模式--仍然没有被探索。为了解决这个问题，我们使用了两种独立的方法来将波形与其生理功能联系起来：第一种方法是基于量化它们与潜在平均行为的一致性，第二种方法是评估波形特征的“有序性”。相应的措施捕捉波的特征和异常行为，如非典型的周期性或过度聚类，并展示模式的动力学和动物的位置，速度和加速度之间的耦合。具体而言，我们研究了θ波和γ波的模式，以及锐波波纹，并观察到波的节奏的速度调制变化，有序性和加速度之间的反相关系，以及模式的空间选择性。此外，我们发现有序性和规律性之间的相互依赖性：从稳定的振荡行为较大的偏差往往伴随着混乱的时间杂乱的波峰和波谷。总之，我们的研究结果提供了一个互补的中尺度的角度来看，脑电波的结构，动力学和功能。
Our current understanding of brain rhythms is based on quantifying their instantaneous or time-averaged characteristics. What remains unexplored, is the actual structure of the waves—their shapes and patterns over finite timescales. To address this, we used two independent approaches to link wave forms to their physiological functions: the first is based on quantifying their consistency with the underlying mean behavior, and the second assesses “orderliness” of the waves’ features. The corresponding measures capture the wave’s characteristic and abnormal behaviors, such as atypical periodicity or excessive clustering, and demonstrate coupling between the patterns’ dynamics and the animal’s location, speed and acceleration. Specifically, we studied patterns of θ and γ waves, and Sharp Wave Ripples, and observed speed-modulated changes of the wave’s cadence, an antiphase relationship between orderliness and acceleration, as well as spatial selectiveness of patterns. Further-more, we found an interdependence between orderliness and regularity: larger deviations from steady oscillatory behavior tend to accompany disarrayed temporal cluttering of peaks and troughs. Taken together, our results offer a complementary—mesoscale—perspective on brain wave structure, dynamics, and functionality.