Hippocampal Neural Circuits Respond to Optogenetic Pacing of Theta Frequencies by Generating Accelerated Oscillation Frequencies.
Hippocampal Neural Circuits Respond to Optogenetic Pacing of Theta Frequencies by Generating Accelerated Oscillation Frequencies.
复制标题
海马神经回路通过产生加速振荡频率来响应theta频率的光遗传学起搏。
DOI:
10.1016/j.cub.2018.02.061
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发表时间:
2018-04-23
期刊:
影响因子:
--
通讯作者:
Leutgeb S
中科院分区:
文献类型:
--
作者:
Zutshi I;Brandon MP;Fu ML;Donegan ML;Leutgeb JK;Leutgeb S
Biological oscillations can be controlled by a small population of rhythmic pacemaker cells, or in the brain, also 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 is not well understood. For example, the activity of hippocampal networks is temporally coordinated by a 7–9 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 7–9 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, 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. Theta oscillations are therefore an example of cortical oscillations that combine inputs from a subcortical pacemaker with local computations to generate complex oscillatory patterns that support cognitive functions.
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影响因子:
16.2
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DOI:
10.1073/pnas.0912478107
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