Distinct Structure of Cortical Population Activity on Fast and Infraslow Timescales
Distinct Structure of Cortical Population Activity on Fast and Infraslow Timescales
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DOI：
10.1093/cercor/bhz023
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发表时间：
2019-05-01
期刊：
影响因子：
3.7
通讯作者：
Harris, Kenneth D.
中科院分区：
文献类型：
--
作者：
Okun, Michael;Steinmetz, Nicholas A.;Harris, Kenneth D.
大脑皮层活动在多个空间和时间尺度上被组织起来。神经元放电动力学的研究大多集中在1ms-1的S时间尺度上，对几十秒和分钟尺度上的放电动力学知之甚少。在这里，我们使用频域分析来研究单个神经元放电活动的结构及其与局部群率和唤醒水平在0.01-100赫兹频率范围内的耦合。在小鼠内侧前额叶皮质，单个神经元的放电动力学可以通过棘波间期和放电率功率谱分布的组合来定量捕捉。在不同的时间尺度上，与局部群体的一致性的相对强度往往不同：在快的时间尺度上与群体速率强耦合的神经元在慢的时间尺度上可能是弱耦合的，反之亦然。在慢而不快的时间尺度上，相当大比例的神经元表现出与群体无关的放电。红外线下放电频率的变化主要由觉醒决定，而不是由局部因素决定，这可以解释单个神经元群体耦合强度的时间尺度依赖性。这些观察表明，神经元如何同时参与快速的局部动力学和缓慢的全脑动力学，将我们对下流皮质活动的理解扩展到fMRI的中尺度分辨率之外。
Cortical activity is organized across multiple spatial and temporal scales. Most research on the dynamics of neuronal spiking is concerned with timescales of 1 ms-1 s, and little is known about spiking dynamics on timescales of tens of seconds and minutes. Here, we used frequency domain analyses to study the structure of individual neurons' spiking activity and its coupling to local population rate and to arousal level across 0.01-100 Hz frequency range. In mouse medial prefrontal cortex, the spiking dynamics of individual neurons could be quantitatively captured by a combination of interspike interval and firing rate power spectrum distributions. The relative strength of coherence with local population often differed across timescales: a neuron strongly coupled to population rate on fast timescales could be weakly coupled on slow timescales, and vice versa. On slow but not fast timescales, a substantial proportion of neurons showed firing anticorrelated with the population. Infraslow firing rate changes were largely determined by arousal rather than by local factors, which could explain the timescale dependence of individual neurons' population coupling strength. These observations demonstrate how neurons simultaneously partake in fast local dynamics, and slow brain-wide dynamics, extending our understanding of infraslow cortical activity beyond the mesoscale resolution of fMRI.