Slow state transitions of sustained neural oscillations by activity-dependent modulation of intrinsic excitability

被引:74
|
作者
Frohlich, Flavio
Bazhenov, Maxim
Timofeev, Igor
Steriade, Mircea
Sejnowski, Terrence J.
机构
[1] Salk Inst Biol Studies, Computat Neurobiol Lab, La Jolla, CA 92037 USA
[2] Howard Hughes Med Inst, La Jolla, CA 92037 USA
[3] Univ Calif San Diego, Div Biol Sci, Neurobiol Sect, La Jolla, CA 92093 USA
[4] Univ Laval, Sch Med, Neurophysiol Lab, Ste Foy, PQ G1K 7P4, Canada
来源
JOURNAL OF NEUROSCIENCE | 2006年 / 26卷 / 23期
关键词
neocortex; computational model; bistability; hysteresis; extracellular potassium concentration; paroxysmal activity;
D O I
10.1523/JNEUROSCI.5509-05.2006
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Little is known about the dynamics and mechanisms of transitions between tonic firing and bursting in cortical networks. Here, we use a computational model of a neocortical circuit with extracellular potassium dynamics to show that activity-dependent modulation of intrinsic excitability can lead to sustained oscillations with slow transitions between two distinct firing modes: fast run (tonic spiking or fast bursts with few spikes) and slow bursting. These transitions are caused by a bistability with hysteresis in a pyramidal cell model. Balanced excitation and inhibition stabilizes a network of pyramidal cells and inhibitory interneurons in the bistable region and causes sustained periodic alternations between distinct oscillatory states. During spike-wave seizures, neocortical paroxysmal activity exhibits qualitatively similar slow transitions between fast run and bursting. We therefore predict that extracellular potassium dynamics can cause alternating episodes of fast and slow oscillatory states in both normal and epileptic neocortical networks.
引用
收藏
页码:6153 / 6162
页数:10
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