Voltage Imaging of Waking Mouse Cortex Reveals Emergence of Critical Neuronal Dynamics

Voltage Imaging of Waking Mouse Cortex Reveals Emergence of Critical Neuronal Dynamics
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DOI:
10.1523/jneurosci.3474-14.2014
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发表时间:
2014-12-10
影响因子:
5.3
通讯作者:
Knoepfel, Thomas
Knoepfel, Thomas
中科院分区:
医学1区
文献类型:
--
作者:
Scott, Gregory;Fagerholm, Erik D.;Knoepfel, Thomas

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复杂的认知过程需要神经元活动在多个尺度上进行协调,从局部微电路到皮层范围的网络。然而,多尺度皮质动力学尚未得到很好的理解,因为很少有实验方法为涉及多尺度相互作用的假设提供足够的支持。为了解决这些限制,我们在涉及小鼠的实验中使用了基因编码的电压指示器成像,它以高时空分辨率测量整个皮层的电活动。在这里,我们表明,当小鼠从麻醉中恢复时,神经元活动的尺度不变时空模式逐渐出现。我们首次证明,这种尺度不变的活动在清醒的小鼠中跨越了四个数量级。相反,我们发现麻醉小鼠的皮质动力学并不是尺度不变的。我们的结果桥接了来自不同尺度的经验证据,并支持清醒皮层在称为临界性的动态状态下运行的理论预测。临界假说预测,小规模皮层动力学与大规模动力学的原理相同。重要的是,这些尺度不变的原则还优化了信息处理的某些方面。我们的结果表明,在麻醉苏醒期间,随着信息处理需求的增加,危急程度也随之增加。我们预计,随着测量工具向更大尺度和更高分辨率发展,临界性提供的多尺度框架将继续提供关于神经元、微电路和大规模网络如何在大脑中动态协调的定量预测和见解。
Complex cognitive processes require neuronal activity to be coordinated across multiple scales, ranging from local microcircuits to cortex-wide networks. However, multiscale cortical dynamics are not well understood because few experimental approaches have provided sufficient support for hypotheses involving multiscale interactions. To address these limitations, we used, in experiments involving mice, genetically encoded voltage indicator imaging, which measures cortex-wide electrical activity at high spatiotemporal resolution. Here we show that, as mice recovered from anesthesia, scale-invariant spatiotemporal patterns of neuronal activity gradually emerge. We show for the first time that this scale-invariant activity spans four orders of magnitude in awake mice. In contrast, we found that the cortical dynamics of anesthetized mice were not scale invariant. Our results bridge empirical evidence from disparate scales and support theoretical predictions that the awake cortex operates in a dynamical regime known as criticality. The criticality hypothesis predicts that small-scale cortical dynamics are governed by the same principles as those governing larger-scale dynamics. Importantly, these scale-invariant principles also optimize certain aspects of information processing. Our results suggest that during the emergence from anesthesia, criticality arises as information processing demands increase. We expect that, as measurement tools advance toward larger scales and greater resolution, the multiscale framework offered by criticality will continue to provide quantitative predictions and insight on how neurons, microcircuits, and large-scale networks are dynamically coordinated in the brain.