Modulations of dendritic Ca2 + spike with weak electric fields in layer 5 pyramidal cells

Guosheng Yi, Xile Wei, Jiang Wang, Bin Deng, Yanqiu Che

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Weak electric fields (EFs) modulate input/output function of pyramidal cells. Dendritic Ca2 + spike is an important cellular mechanism for coupling synaptic inputs from different cortical layers, which plays a critical role in neuronal computation. This study aims to understand the effects of weak EFs on Ca2 + spikes initiated in the distal dendrites. We use a computational model to simulate dendritic Ca2 + spikes and backpropagating action potentials (APs) in layer 5 pyramidal cells. We apply uniform EFs (less than 20 mV/mm) to the model and examine how they affect the threshold for activation of Ca2 + spikes. We show that the effects of weak field on synaptically evoked Ca2 + spikes depend on the timing of synaptic inputs. When distal inputs coincide with the onset of EFs within a time window of several milliseconds, field-induced depolarization facilitates the initiation of Ca2 + spikes, while field-induced hyperpolarization suppresses dendritic APs. Sustained field-induced depolarization leads to the inactivation of Ca2 + channels and increases the threshold of Ca2 + spike. Sustained field-induced hyperpolarization de-inactivates Ca2 + channels and reduces the threshold of Ca2 + spike. By altering the threshold of backpropagation activated Ca2 + firing, field-induced depolarization increases the degree of coupling between inputs of the soma and distal dendrites, while field-induced hyperpolarization results in a decrease of coupling. The modulatory effects of weak EF are governed by the field direction with respect to the cell. Our study explains a fundamental link between field-induced polarization, dendritic Ca2 + spike, and somato-dendritic coupling. The findings are crucial to interpret how weak EFs achieve specific modulation of cellular activity.

Original languageEnglish (US)
Pages (from-to)8-18
Number of pages11
JournalNeural Networks
Volume110
DOIs
StatePublished - Feb 2019

All Science Journal Classification (ASJC) codes

  • Cognitive Neuroscience
  • Artificial Intelligence

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