Selective entrainment of gamma subbands by different slow network oscillations
Selective entrainment of gamma subbands by different slow network oscillations
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DOI：
10.1073/pnas.1617249114
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发表时间：
2017-04
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影响因子：
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通讯作者：
Weiwei Zhong;Mareva Ciatipis;Thérèse Wolfenstetter;Jakob Jessberger;C. Müller;S. Ponsel;Y. Yanovsky;J. Brankačk;A. Tort;A. Draguhn
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文献类型：
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作者：
Weiwei Zhong;Mareva Ciatipis;Thérèse Wolfenstetter;Jakob Jessberger;C. Müller;S. Ponsel;Y. Yanovsky;J. Brankačk;A. Tort;A. Draguhn
Theta-gamma耦合在海马和新皮层区域有大量的文献记载，并被假设为构成信息处理的网络机制。然而，我们在这里确定了另一个全球性的慢节奏在近θ频率，也耦合到伽马。通过同时记录呼吸，我们可以区分实际的θ振荡与局部场电位中的呼吸夹带节律（RR），其峰值频率可能与θ重叠。我们证明了一个强大的特异性耦合不同的伽马子带的θ或RR取决于大脑的状态和区域。结果表明，大脑使用不同的频率通道来传输不同类型的信息。Theta振荡（4-12 Hz）被认为为远程大脑网络之间的信息交换提供了一个共同的时间参考。另一方面，更快的伽马频率振荡（30-160 Hz）嵌套在θ周期内被认为是局部信息处理的基础。无论是全球和本地振荡之间的振荡耦合，所展示的θ-γ耦合，是一个通用的编码机制仍然未知。在这里，我们研究了两种不同模式的振荡网络活动，θ和呼吸诱导的网络节奏，在四个大脑区域的自由移动小鼠：嗅球（OB），前边缘皮层（PLC），顶叶皮层（PAC），背海马[角ammonis 1（CA 1）]。我们报告差分状态和区域特定的耦合之间的缓慢的大规模的节奏和叠加的快速振荡。在清醒不动期间，所有四个区域都显示出呼吸伴随节律（RR），从OB到CA 1的功率逐渐降低，仅与80- 120-Hz伽马子带（γ2）耦合。在探索过程中，当θ活动占主导地位时，OB和PLC仍然显示RR与γ2的排他性耦合，而没有θ-γ耦合，而PAC和CA 1则转换为θ与40- 80-Hz（γ1）和120- 160-Hz（γ3）γ子带的选择性耦合。我们的数据说明了一个强大的，具体的神经元活动模式和呼吸之间的相互作用。此外，我们的研究结果表明，慢振荡和快振荡之间的耦合是一个普遍的大脑机制，而不仅限于θ节律。
Significance Theta-gamma coupling has been largely documented in hippocampal and neocortical areas and hypothesized to constitute a network mechanism for information processing. However, we identify here another global slow rhythm at near-theta frequency that also couples to gamma. By simultaneously recording respiration, we could distinguish actual theta oscillations from a respiration-entrained rhythm (RR) in the local field potential whose peak frequency may overlap with theta. We demonstrate a robust specificity for the coupling of different gamma subbands to either theta or RR depending on brain state and region. The results suggest that the brain uses different frequency channels for transferring different types of information. Theta oscillations (4–12 Hz) are thought to provide a common temporal reference for the exchange of information among distant brain networks. On the other hand, faster gamma-frequency oscillations (30–160 Hz) nested within theta cycles are believed to underlie local information processing. Whether oscillatory coupling between global and local oscillations, as showcased by theta-gamma coupling, is a general coding mechanism remains unknown. Here, we investigated two different patterns of oscillatory network activity, theta and respiration-induced network rhythms, in four brain regions of freely moving mice: olfactory bulb (OB), prelimbic cortex (PLC), parietal cortex (PAC), and dorsal hippocampus [cornu ammonis 1 (CA1)]. We report differential state- and region-specific coupling between the slow large-scale rhythms and superimposed fast oscillations. During awake immobility, all four regions displayed a respiration-entrained rhythm (RR) with decreasing power from OB to CA1, which coupled exclusively to the 80- to 120-Hz gamma subband (γ2). During exploration, when theta activity was prevailing, OB and PLC still showed exclusive coupling of RR with γ2 and no theta-gamma coupling, whereas PAC and CA1 switched to selective coupling of theta with 40- to 80-Hz (γ1) and 120- to 160-Hz (γ3) gamma subbands. Our data illustrate a strong, specific interaction between neuronal activity patterns and respiration. Moreover, our results suggest that the coupling between slow and fast oscillations is a general brain mechanism not limited to the theta rhythm.