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The axonal plexus: a description of the behavior of a network of neurons connected by gap junctions
BMC Neuroscience volume 8, Article number: P47 (2007)
Putative gap junctions between pyramidal axons have been reported in the hippocampus as well as the neocortex. These gap junctions are indicated in very fast oscillations (VFOs, > 80 Hz) in slow-wave sleep as well as in seizures. They could also play a role in gamma oscillations (30–80 Hz) in the hippocampus and other areas. Computational modeling studies have yielded results consistent with these hypotheses [1–3].
We explore, in greater detail than in previous studies, the parameter dependence of the dynamics of a random neuronal network with axo-axonal gap junctions. First, we analyze propagation through a network of axons (without somata and dendrites). We vary excitation levels and gap junction conductances, and study regimes of disorderly behavior, stimulus-driven VFOs, and re-entrant VFOs (that is, VFOs that persist after the stimulus is removed). We also show examples of spontaneous (noise-driven) toggling of the network between qualitatively different oscillatory regimes. Second, we add intrinsically bursting somata, and analyze the behavior of the resulting system in light of our study of the isolated axonal plexus. Finally, we discuss links between gap junction dependent activity in the axonal plexus, very fast oscillations, and gamma oscillations.
Lewis TJ, Rinzel J: Self-organized synchronous oscillations in a network of excitable cells Coupled by gap junctions. Comput Neural Syst. 2000, 11: 299-320. 10.1088/0954-898X/11/4/304.
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Traub RD, Schmitz D, Jefferys JGR, Draguhn A: High-frequency population oscillations are predicted to occur in hippcampal pyramidal neuronal networks interconnected by axoaxonal gap junctions. Neuroscience. 1999, 92: 407-426. 10.1016/S0306-4522(98)00755-6.
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Munro, E., Börgers, C. The axonal plexus: a description of the behavior of a network of neurons connected by gap junctions. BMC Neurosci 8 (Suppl 2), P47 (2007). https://doi.org/10.1186/1471-2202-8-S2-P47
- Animal Model
- Computational Modeling
- Neuronal Network
- Parameter Dependence
- Dependent Activity