Munro Krull Erin, Sakata Shuzo, Toyoizumi Taro
RIKEN Center for Brain Science, Tokyo, Japan.
Beloit College, Beloit, WI, United States.
Front Neurosci. 2019 Apr 12;13:316. doi: 10.3389/fnins.2019.00316. eCollection 2019.
Synchronized states are marked by large-amplitude low-frequency oscillations in the cortex. These states can be seen during quiet waking or slow-wave sleep. Within synchronized states, previous studies have noted a plethora of different types of activity, including delta oscillations (0.5-4 Hz) and slow oscillations (<1 Hz) in the neocortex and large- and small- irregular activity in the hippocampus. However, it is not still fully characterized how neural populations contribute to the synchronized state. Here we apply independent component analysis to parse which populations are involved in different kinds of neocortical activity, and find two populations that alternate throughout synchronized states. One population broadly affects neocortical deep layers, and is associated with larger amplitude slower neocortical oscillations. The other population exhibits theta-frequency oscillations that are not easily observed in raw field potential recordings. These theta oscillations apparently come from below the neocortex, suggesting hippocampal origin, and are associated with smaller amplitude faster neocortical oscillations. Relative involvement of these two alternating populations may indicate different modes of operation within synchronized states.
同步状态的特征是皮层中出现大振幅低频振荡。这些状态在安静清醒或慢波睡眠期间可见。在同步状态下,先前的研究已经注意到大量不同类型的活动,包括新皮层中的δ振荡(0.5 - 4赫兹)和慢振荡(<1赫兹),以及海马体中的大、小不规则活动。然而,神经群体如何促成同步状态仍未得到充分表征。在这里,我们应用独立成分分析来解析哪些群体参与了不同类型的新皮层活动,并发现两个群体在整个同步状态中交替出现。一个群体广泛影响新皮层深层,并与更大振幅、更慢的新皮层振荡相关。另一个群体表现出在原始场电位记录中不易观察到的θ频率振荡。这些θ振荡显然来自新皮层下方,表明起源于海马体,并与更小振幅、更快的新皮层振荡相关。这两个交替群体的相对参与程度可能表明同步状态下不同的运作模式。