Tort Adriano B L, Kramer Mark A, Thorn Catherine, Gibson Daniel J, Kubota Yasuo, Graybiel Ann M, Kopell Nancy J
Department of Mathematics and Center for BioDynamics, Boston University, Boston, MA 02215, USA.
Proc Natl Acad Sci U S A. 2008 Dec 23;105(51):20517-22. doi: 10.1073/pnas.0810524105. Epub 2008 Dec 12.
Oscillatory rhythms in different frequency ranges mark different behavioral states and are thought to provide distinct temporal windows that coherently bind cooperating neuronal assemblies. However, the rhythms in different bands can also interact with each other, suggesting the possibility of higher-order representations of brain states by such rhythmic activity. To explore this possibility, we analyzed local field potential oscillations recorded simultaneously from the striatum and the hippocampus. As rats performed a task requiring active navigation and decision making, the amplitudes of multiple high-frequency oscillations were dynamically modulated in task-dependent patterns by the phase of cooccurring theta-band oscillations both within and across these structures, particularly during decision-making behavioral epochs. Moreover, the modulation patterns uncovered distinctions among both high- and low-frequency subbands. Cross-frequency coupling of multiple neuronal rhythms could be a general mechanism used by the brain to perform network-level dynamical computations underlying voluntary behavior.
不同频率范围内的振荡节律标志着不同的行为状态,并且被认为提供了独特的时间窗口,这些窗口能够连贯地绑定相互协作的神经元集合。然而,不同频段的节律也会相互作用,这表明这种节律活动可能存在大脑状态的高阶表征。为了探究这种可能性,我们分析了从纹状体和海马体同时记录的局部场电位振荡。当大鼠执行一项需要主动导航和决策的任务时,多个高频振荡的振幅会在任务依赖的模式下,由这些结构内部和之间同时出现的theta频段振荡的相位动态调制,特别是在决策行为阶段。此外,调制模式揭示了高频和低频子带之间的差异。多个神经元节律的跨频率耦合可能是大脑用于执行自愿行为背后网络级动态计算的一种普遍机制。