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Inducing Plasticity of Astrocytic Receptors by Manipulation of Neuronal Firing Rates
Published on: March 20, 2014
A silent Kv channel subunit shapes PV neuron action potential waveform and short-term synaptic plasticity during
Sanika Ganesh1, Theresa M Canty1, Bernardo L Sabatini1
1HHMI, Department of Neurobiology, Harvard Medical School, Boston, MA 02115.
Abstract:
Fast-spiking parvalbumin-positive (PV) neurons provide precisely timed, context-dependent inhibition within cortical circuits. PV neuron firing properties are specialized among cortical neurons, suggesting that they express a unique complement of ion channels. Here, we show that the PV-specific silent voltage-gated potassium (Kv) channel subunit Kv6.4 (encoded by Kcng4) modulates both intrinsic and synaptic properties of cortical PV neurons. Kv6.4 does not form functional channels on its own but, as shown in prior work, assembles with Kv2 subunits to create heterotetrameric channel complexes, effectively reducing Kv2-mediated delayed rectifier current. We find that Kcng4 expression is enriched within a distinct Pvalb-expressing subclass in primary somatosensory (S1) and motor (M1) cortex and emerges during postnatal development. In PV neurons, Kv6.4 loss reduces action potential (AP) height and width, hyperpolarizes the threshold and interspike potential, and accelerates AP upstroke particularly during repetitive firing. Kv6.4 loss, potentially due to the changes in AP waveform, also alters GABA release and paired-pulse depression at synapses made by PV onto pyramidal (PYR) neurons. The effects of Kv6.4 loss are amplified during high-frequency firing, within the physiological range of fast-spiking PV neurons, likely due to altered repolarization dynamics that accumulate across successive APs. These findings are thus consistent with the function of Kv6.4 in modifying Kv2-mediated delayed rectifier currents. Hence, Kv6.4 tunes the temporal precision of PV inhibitory output, a feature that may be critical for stable excitation-inhibition ratios and adaptive circuit function underlying learning and behavior.
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