Department of Physics, University of Illinois at Urbana-Champaign, 1110 West Green Street, Urbana, IL, 61801, USA.
Physics Department, University Kaiserslautern, Erwin-Schrödinger-Straße, 67663, Kaiserslautern, Germany.
Sci Rep. 2023 Mar 24;13(1):4871. doi: 10.1038/s41598-023-31851-x.
A new statistical analysis of large neuronal avalanches observed in mouse and rat brain tissues reveals a substantial degree of recurrent activity and cyclic patterns of activation not seen in smaller avalanches. To explain these observations, we adapted a model of structural weakening in materials. In this model, dynamical weakening of neuron firing thresholds closely replicates experimental avalanche size distributions, firing number distributions, and patterns of cyclic activity. This agreement between model and data suggests that a mechanism like dynamical weakening plays a key role in recurrent activity found in large neuronal avalanches. We expect these results to illuminate the causes and dynamics of large avalanches, like those seen in seizures.
一项对在小鼠和大鼠脑组织中观察到的大型神经元涌流的新的统计分析揭示了大量的重现活动和循环激活模式，而在较小的涌流中则没有观察到这些模式。为了解释这些观察结果，我们采用了材料结构弱化的模型。在这个模型中，神经元触发阈值的动态弱化非常接近实验涌流大小分布、触发次数分布和循环活动模式。模型与数据之间的这种一致性表明，类似于动态弱化的机制在大型神经元涌流中发现的重现活动中起着关键作用。我们期望这些结果能够阐明像癫痫发作中那样的大型涌流的原因和动力学。
