Ionic Mechanisms Underlying Repetitive High-Frequency Burst Firing in Supragranular Cortical Neurons
Open Access
- 1 July 2000
- journal article
- Published by Society for Neuroscience in Journal of Neuroscience
- Vol. 20 (13) , 4829-4843
- https://doi.org/10.1523/jneurosci.20-13-04829.2000
Abstract
Neocortical neurons in awake, behaving animals can generate high-frequency (>300 Hz) bursts of action potentials, either in single bursts or in a repetitive manner. Intracellular recordings of layer II/III pyramidal neurons were obtained from adult ferret visual cortical slices maintainedin vitroto investigate the ionic mechanisms by which a subgroup of these cells generates repetitive, high-frequency burst discharges, a pattern referred to as “chattering.” The generation of each but the first action potential in a burst was dependent on the critical interplay between the afterhyperpolarizations (AHPs) and afterdepolarizations (ADPs) that followed each action potential. The spike-afterdepolarization and the generation of action potential bursts were dependent on Na+, but not Ca2+, currents. Neither blocking of the transmembrane flow of Ca2+nor the intracellular chelation of free Ca2+with BAPTA inhibited the generation of intrinsic bursts. In contrast, decreasing the extracellular Na+concentration or pharmacologically blocking Na+currents with tetrodotoxin, QX-314, or phenytoin inhibited bursting before inhibiting action potential generation. Additionally, a subset of layer II/III pyramidal neurons could be induced to switch from repetitive single spiking to a burst-firing mode by constant depolarizing current injection, by raising extracellular K+concentrations, or by potentiation of the persistent Na+current with the Na+channel toxin ATX II. These results indicate that cortical neurons may dynamically regulate their pattern of action potential generation through control of Na+and K+currents. The generation of high-frequency burst discharges may strongly influence the response of postsynaptic neurons and the operation of local cortical networks.Keywords
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