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Resurgent Na+ Current Offers Noise Modulation in Bursting Neurons.
Department of Integrative Biology and Physiology, University of California Los Angeles, Los Angeles, CA, United States of America.ORCID iD: 0000-0001-8117-6849
Department of Integrative Biology and Physiology, University of California Los Angeles, Los Angeles, CA, United States of America.
Department of Mathematics, The Ohio State University, Columbus, OH, United States of America.
Linköping University, Department of Clinical and Experimental Medicine, Divison of Neurobiology. Linköping University, Faculty of Medicine and Health Sciences. Department of Anesthesiology and Perioperative Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America.ORCID iD: 0000-0002-6467-1327
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2019 (English)In: PloS Computational Biology, ISSN 1553-734X, E-ISSN 1553-7358, Vol. 15, no 6, article id e1007154Article in journal (Refereed) Published
Abstract [en]

Neurons utilize bursts of action potentials as an efficient and reliable way to encode information. It is likely that the intrinsic membrane properties of neurons involved in burst generation may also participate in preserving its temporal features. Here we examined the contribution of the persistent and resurgent components of voltage-gated Na+ currents in modulating the burst discharge in sensory neurons. Using mathematical modeling, theory and dynamic-clamp electrophysiology, we show that, distinct from the persistent Na+ component which is important for membrane resonance and burst generation, the resurgent Na+ can help stabilize burst timing features including the duration and intervals. Moreover, such a physiological role for the resurgent Na+ offered noise tolerance and preserved the regularity of burst patterns. Model analysis further predicted a negative feedback loop between the persistent and resurgent gating variables which mediate such gain in burst stability. These results highlight a novel role for the voltage-gated resurgent Na+ component in moderating the entropy of burst-encoded neural information.

Place, publisher, year, edition, pages
PLOS , 2019. Vol. 15, no 6, article id e1007154
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Bioinformatics (Computational Biology) Neurosciences
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URN: urn:nbn:se:liu:diva-162286DOI: 10.1371/journal.pcbi.1007154OAI: oai:DiVA.org:liu-162286DiVA, id: diva2:1379547
Available from: 2019-12-17 Created: 2019-12-17 Last updated: 2019-12-17Bibliographically approved

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Pantazis, Antonios

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Venugopal, SharmilaPantazis, AntoniosWiedau-Pazos, Martina
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