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棘波爆发在睡眠-觉醒周期中表现出普遍的动力学特征。

Spike avalanches exhibit universal dynamics across the sleep-wake cycle.

机构信息

Department of Physics, Federal University of Pernambuco (UFPE), Recife, Pernambuco, Brazil.

出版信息

PLoS One. 2010 Nov 30;5(11):e14129. doi: 10.1371/journal.pone.0014129.

Abstract

BACKGROUND

Scale-invariant neuronal avalanches have been observed in cell cultures and slices as well as anesthetized and awake brains, suggesting that the brain operates near criticality, i.e. within a narrow margin between avalanche propagation and extinction. In theory, criticality provides many desirable features for the behaving brain, optimizing computational capabilities, information transmission, sensitivity to sensory stimuli and size of memory repertoires. However, a thorough characterization of neuronal avalanches in freely-behaving (FB) animals is still missing, thus raising doubts about their relevance for brain function.

METHODOLOGY/PRINCIPAL FINDINGS: To address this issue, we employed chronically implanted multielectrode arrays (MEA) to record avalanches of action potentials (spikes) from the cerebral cortex and hippocampus of 14 rats, as they spontaneously traversed the wake-sleep cycle, explored novel objects or were subjected to anesthesia (AN). We then modeled spike avalanches to evaluate the impact of sparse MEA sampling on their statistics. We found that the size distribution of spike avalanches are well fit by lognormal distributions in FB animals, and by truncated power laws in the AN group. FB data surrogation markedly decreases the tail of the distribution, i.e. spike shuffling destroys the largest avalanches. The FB data are also characterized by multiple key features compatible with criticality in the temporal domain, such as 1/f spectra and long-term correlations as measured by detrended fluctuation analysis. These signatures are very stable across waking, slow-wave sleep and rapid-eye-movement sleep, but collapse during anesthesia. Likewise, waiting time distributions obey a single scaling function during all natural behavioral states, but not during anesthesia. Results are equivalent for neuronal ensembles recorded from visual and tactile areas of the cerebral cortex, as well as the hippocampus.

CONCLUSIONS/SIGNIFICANCE: Altogether, the data provide a comprehensive link between behavior and brain criticality, revealing a unique scale-invariant regime of spike avalanches across all major behaviors.

摘要

背景

在细胞培养物和切片中以及麻醉和清醒的大脑中都观察到了具有尺度不变性的神经元雪崩,这表明大脑在临界状态下运行,即在雪崩传播和灭绝之间的狭窄范围内。从理论上讲,临界状态为行为大脑提供了许多理想的特性,优化了计算能力、信息传输、对感觉刺激的敏感性以及记忆库的大小。然而,在自由活动(FB)动物中,对神经元雪崩的全面特征描述仍然缺失,因此对其与大脑功能的相关性产生了怀疑。

方法/主要发现:为了解决这个问题,我们使用慢性植入的多电极阵列(MEA)记录 14 只大鼠在自然穿越清醒-睡眠周期、探索新物体或接受麻醉(AN)时大脑皮层和海马区的动作电位(尖峰)雪崩。然后,我们对尖峰雪崩进行建模,以评估稀疏 MEA 采样对其统计数据的影响。我们发现,在 FB 动物中,尖峰雪崩的大小分布很好地符合对数正态分布,而在 AN 组中符合截断幂律分布。FB 数据替代会明显减少分布的尾部,即尖峰混合会破坏最大的雪崩。FB 数据还具有多个与临界状态在时间域兼容的关键特征,例如 1/f 谱和由去趋势波动分析测量的长期相关性。这些特征在清醒、慢波睡眠和快速眼动睡眠期间非常稳定,但在麻醉期间会崩溃。同样,等待时间分布在所有自然行为状态下都服从单个缩放函数,但在麻醉期间不服从。来自大脑皮层的视觉和触觉区域以及海马区的神经元集合的记录得到了等效的结果。

结论/意义:总的来说,这些数据在行为和大脑临界状态之间提供了一个全面的联系,揭示了所有主要行为中尖峰雪崩的独特的具有尺度不变性的状态。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c45/2994706/a582a3d3a726/pone.0014129.g001.jpg

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