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  • Zeberg, HKarolinska Institutet (author)

Density of voltage-gated potassium channels is a bifurcation parameter in pyramidal neurons

  • Article/chapterEnglish2015

Publisher, publication year, extent ...

  • American Physiological Society,2015

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  • LIBRIS-ID:oai:prod.swepub.kib.ki.se:130625380
  • http://kipublications.ki.se/Default.aspx?queryparsed=id:130625380URI
  • https://doi.org/10.1152/jn.00907.2013DOI

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  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

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  • Several types of intrinsic dynamics have been identified in brain neurons. Type 1 excitability is characterized by a continuous frequency-stimulus relationship and, thus, an arbitrarily low frequency at threshold current. Conversely, Type 2 excitability is characterized by a discontinuous frequency-stimulus relationship and a nonzero threshold frequency. In previous theoretical work we showed that the density of Kv channels is a bifurcation parameter, such that increasing the Kv channel density in a neuron model transforms Type 1 excitability into Type 2 excitability. Here we test this finding experimentally, using the dynamic clamp technique on Type 1 pyramidal cells in rat cortex. We found that increasing the density of slow Kv channels leads to a shift from Type 1 to Type 2 threshold dynamics, i.e., a distinct onset frequency, subthreshold oscillations, and reduced latency to first spike. In addition, the action potential was resculptured, with a narrower spike width and more pronounced afterhyperpolarization. All changes could be captured with a two-dimensional model. It may seem paradoxical that an increase in slow K channel density can lead to a higher threshold firing frequency; however, this can be explained in terms of bifurcation theory. In contrast to previous work, we argue that an increased outward current leads to a change in dynamics in these neurons without a rectification of the current-voltage curve. These results demonstrate that the behavior of neurons is determined by the global interactions of their dynamical elements and not necessarily simply by individual types of ion channels.

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  • Robinson, HPC (author)
  • Arhem, PKarolinska Institutet (author)
  • Karolinska Institutet (creator_code:org_t)

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  • In:Journal of neurophysiology: American Physiological Society113:2, s. 537-5491522-15980022-3077

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