Hull York Medical School, University of York , York , United Kingdom.
Department of Psychology, University of York , York , United Kingdom.
J Neurophysiol. 2019 Apr 1;121(4):1150-1161. doi: 10.1152/jn.00686.2018. Epub 2019 Jan 30.
Rhythmic activity in populations of neurons is associated with cognitive and motor function. Our understanding of the neuronal mechanisms underlying these core brain functions has benefitted from demonstrations of cellular, synaptic, and network phenomena, leading to the generation of discrete rhythms at the local network level. However, discrete frequencies of rhythmic activity rarely occur alone. Despite this, little is known about why multiple rhythms are generated together or what mechanisms underlie their interaction to promote brain function. One overarching theory is that different temporal scales of rhythmic activity correspond to communication between brain regions separated by different spatial scales. To test this, we quantified the cross-frequency interactions between two dominant rhythms-theta and delta activity-manifested during magnetoencephalography recordings of subjects performing a word-pair semantic decision task. Semantic processing has been suggested to involve the formation of functional links between anatomically disparate neuronal populations over a range of spatial scales, and a distributed network was manifest in the profile of theta-delta coupling seen. Furthermore, differences in the pattern of theta-delta coupling significantly correlated with semantic outcome. Using an established experimental model of concurrent delta and theta rhythms in neocortex, we show that these outcome-dependent dynamics could be reproduced in a manner determined by the strength of cholinergic neuromodulation. Theta-delta coupling correlated with discrete neuronal activity motifs segregated by the cortical layer, neuronal intrinsic properties, and long-range axonal targets. Thus, the model suggested that local, interlaminar neocortical theta-delta coupling may serve to coordinate both cortico-cortical and cortico-subcortical computations during distributed network activity. NEW & NOTEWORTHY Here, we show, for the first time, that a network of spatially distributed brain regions can be revealed by cross-frequency coupling between delta and theta frequencies in subjects using magnetoencephalography recording during a semantic decision task. A biological model of this cross-frequency coupling suggested an interlaminar, cell-specific division of labor within the neocortex may serve to route the flow of cortico-cortical and cortico-subcortical information to promote such spatially distributed, functional networks.
神经元群体的节律活动与认知和运动功能有关。我们对这些核心脑功能的神经元机制的理解得益于细胞、突触和网络现象的证明,这导致了局部网络水平上离散节律的产生。然而,离散频率的节律活动很少单独出现。尽管如此,人们对为什么会产生多种节律以及它们相互作用促进大脑功能的机制知之甚少。一个总体理论是,不同时间尺度的节律活动对应于通过不同空间尺度分隔的脑区之间的通信。为了检验这一点,我们在进行语词对语义决策任务的被试者的脑磁图记录中,量化了两种主要节律——θ节律和δ节律之间的跨频相互作用。语义处理被认为涉及在一系列空间尺度上,通过解剖上不同的神经元群体之间形成功能联系,而在观察到的θ-δ耦合模式中表现出分布式网络。此外,θ-δ耦合模式的差异与语义结果显著相关。使用新皮层中同时存在的δ和θ节律的既定实验模型,我们表明,这些依赖于结果的动力学可以以乙酰胆碱能神经调制强度决定的方式再现。θ-δ耦合与通过皮质层、神经元内在特性和长程轴突靶标分离的离散神经元活动模式显著相关。因此,该模型表明,局部、层间新皮层的θ-δ耦合可能有助于在分布式网络活动期间协调皮质-皮质和皮质-皮质下计算。 新内容和值得注意的内容 在这里,我们首次表明,在语义决策任务中使用脑磁图记录,通过δ和θ频率之间的跨频耦合,可以在使用脑磁图记录的被试者中揭示出一个由空间分布的脑区组成的网络。这种跨频耦合的生物模型表明,新皮层内的层间、细胞特异性分工可能有助于引导皮质-皮质和皮质-皮质下信息的流动,以促进这种空间分布式的功能网络。