Neurobiology Section and Center for Neural Circuits and Behavior, Division of Biological Sciences, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA.
Neurobiology Section and Center for Neural Circuits and Behavior, Division of Biological Sciences, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA; Douglas Hospital Research Centre, Department of Psychiatry, McGill University, 6875 LaSalle Blvd., Montreal, QC H4H 1R3, Canada.
Curr Biol. 2018 Apr 23;28(8):1179-1188.e3. doi: 10.1016/j.cub.2018.02.061. Epub 2018 Apr 5.
Biological oscillations can be controlled by a small population of rhythmic pacemaker cells, or in the brain, they also can emerge from complex cellular and circuit-level interactions. Whether and how these mechanisms are combined to give rise to oscillatory patterns that govern cognitive function are not well understood. For example, the activity of hippocampal networks is temporally coordinated by a 7- to 9-Hz local field potential (LFP) theta rhythm, yet many individual cells decouple from the LFP frequency to oscillate at frequencies ∼1 Hz higher. To better understand the network interactions that produce these complex oscillatory patterns, we asked whether the relative frequency difference between LFP and individual cells is retained when the LFP frequency is perturbed experimentally. We found that rhythmic optogenetic stimulation of medial septal GABAergic neurons controlled the hippocampal LFP frequency outside of the endogenous theta range, even during behavioral states when endogenous mechanisms would otherwise have generated 7- to 9-Hz theta oscillations. While the LFP frequency matched the optogenetically induced stimulation frequency, the oscillation frequency of individual hippocampal cells remained broadly distributed, and in a subset of cells including interneurons, it was accelerated beyond the new base LFP frequency. The inputs from septal GABAergic neurons to the hippocampus, therefore, do not appear to directly control the cellular oscillation frequency but rather engage cellular and circuit mechanisms that accelerate the rhythmicity of individual cells. Thus, theta oscillations are an example of cortical oscillations that combine inputs from a subcortical pacemaker with local computations to generate complex oscillatory patterns that support cognitive functions.
生物振荡器可以由一小群节律起搏细胞控制,或者在大脑中,它们也可以从复杂的细胞和电路水平的相互作用中产生。这些机制是否以及如何结合起来产生控制认知功能的振荡模式还不是很清楚。例如,海马网络的活动由 7 到 9 赫兹的局部场电位(LFP)θ节律在时间上协调,但许多单个细胞与 LFP 频率解耦,以约 1 Hz 的更高频率振荡。为了更好地理解产生这些复杂振荡模式的网络相互作用,我们想知道当 LFP 频率受到实验干扰时,LFP 和单个细胞之间的相对频率差异是否保留。我们发现,内侧隔区 GABA 能神经元的节律性光遗传学刺激控制了海马 LFP 频率,超出了内源性θ范围,即使在行为状态下,内源性机制本来会产生 7 到 9 赫兹的θ振荡。虽然 LFP 频率与光遗传学诱导的刺激频率相匹配,但单个海马细胞的振荡频率仍然广泛分布,并且在包括中间神经元在内的细胞亚群中,它超过了新的基础 LFP 频率而加速。因此,隔区 GABA 能神经元到海马的输入似乎并没有直接控制细胞的振荡频率,而是激活了细胞和电路机制,从而加速了单个细胞的节律性。因此,θ 振荡是皮质振荡的一个例子,它结合了来自皮质下起搏器的输入和局部计算,以产生支持认知功能的复杂振荡模式。