Robust network oscillations during mammalian respiratory rhythm generation driven by synaptic dynamics
Robust network oscillations during mammalian respiratory rhythm generation driven by synaptic dynamics
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DOI:
10.1073/pnas.1421997112
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发表时间:
2015-08-04
影响因子:
11.1
通讯作者:
Holcman, David
中科院分区:
文献类型:
--
作者:
Guerrier, Claire;Hayes, John A.;Holcman, David
How might synaptic dynamics generate synchronous oscillations in neuronal networks? We address this question in the preBotzinger complex (preBotC), a brainstem neural network that paces robust, yet labile, inspiration in mammals. The preBotC is composed of a few hundred neurons that alternate bursting activity with silent periods, but the mechanism underlying this vital rhythm remains elusive. Using a computational approach to model a randomly connected neuronal network that relies on short-term synaptic facilitation (SF) and depression (SD), we show that synaptic fluctuations can initiate population activities through recurrent excitation. We also show that a two-step SD process allows activity in the network to synchronize (bursts) and generate a population refractory period (silence). The model was validated against an array of experimental conditions, which recapitulate several processes the preBotC may experience. Consistent with the modeling assumptions, we reveal, by electrophysiological recordings, that SF/SD can occur at preBotC synapses on timescales that influence rhythmic population activity. We conclude that nondeterministic neuronal spiking and dynamic synaptic strengths in a randomly connected network are sufficient to give rise to regular respiratory-like rhythmic network activity and lability, which may play an important role in generating the rhythm for breathing and other coordinated motor activities in mammals.