Effects of Several Classes of Voltage-Gated Ion Channel Conductances on Gamma and Theta Oscillations in a Hippocampal Microcircuit Model
Gamma and theta oscillations have been functionally associated with cognitive processes, such as learning and memory. Synaptic conductances play an important role in the generation of intrinsic network rhythmicity, but few studies have examined the effects of voltage-gated ion channels (VGICs) on th...
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doaj-10cabb0dfd93464d826b02bfcba9eadd2021-04-01T08:16:19ZengFrontiers Media S.A.Frontiers in Computational Neuroscience1662-51882021-04-011510.3389/fncom.2021.630271630271Effects of Several Classes of Voltage-Gated Ion Channel Conductances on Gamma and Theta Oscillations in a Hippocampal Microcircuit ModelChris Olteanu0Forough Habibollahi1Forough Habibollahi2Chris French3Melbourne Brain Centre, The University of Melbourne, Parkville, VIC, AustraliaMelbourne Brain Centre, The University of Melbourne, Parkville, VIC, AustraliaDepartment of Biomedical Engineering, The University of Melbourne, Parkville, VIC, AustraliaDepartment of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC, AustraliaGamma and theta oscillations have been functionally associated with cognitive processes, such as learning and memory. Synaptic conductances play an important role in the generation of intrinsic network rhythmicity, but few studies have examined the effects of voltage-gated ion channels (VGICs) on these rhythms. In this report, we have used a pyramidal-interneuron-gamma (PING) network consisting of excitatory pyramidal cells and two types of inhibitory interneurons. We have constructed a conductance-based neural network incorporating a persistent sodium current (INaP), a delayed rectifier potassium current (IKDR), a inactivating potassium current (IA) and a hyperpolarization-activated current (IH). We have investigated the effects of several conductances on network theta and gamma frequency oscillations. Variation of all conductances of interest changed network rhythmicity. Theta power was altered by all conductances tested. Gamma rhythmogenesis was dependent on IA and IH. The IKDR currents in excitatory pyramidal cells as well as both types of inhibitory interneurons were essential for theta rhythmogenesis and altered gamma rhythm properties. Increasing INaP suppressed both gamma and theta rhythms. Addition of noise did not alter these patterns. Our findings suggest that VGICs strongly affect brain network rhythms. Further investigations in vivo will be of great interest, including potential effects on neural function and cognition.https://www.frontiersin.org/articles/10.3389/fncom.2021.630271/fullneural oscillationstheta rhythmogenesisgamma rhythmogenesisvoltage-gated ion channelspyramidal-interneuron-gamma networkhippocampal neural network |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chris Olteanu Forough Habibollahi Forough Habibollahi Chris French |
spellingShingle |
Chris Olteanu Forough Habibollahi Forough Habibollahi Chris French Effects of Several Classes of Voltage-Gated Ion Channel Conductances on Gamma and Theta Oscillations in a Hippocampal Microcircuit Model Frontiers in Computational Neuroscience neural oscillations theta rhythmogenesis gamma rhythmogenesis voltage-gated ion channels pyramidal-interneuron-gamma network hippocampal neural network |
author_facet |
Chris Olteanu Forough Habibollahi Forough Habibollahi Chris French |
author_sort |
Chris Olteanu |
title |
Effects of Several Classes of Voltage-Gated Ion Channel Conductances on Gamma and Theta Oscillations in a Hippocampal Microcircuit Model |
title_short |
Effects of Several Classes of Voltage-Gated Ion Channel Conductances on Gamma and Theta Oscillations in a Hippocampal Microcircuit Model |
title_full |
Effects of Several Classes of Voltage-Gated Ion Channel Conductances on Gamma and Theta Oscillations in a Hippocampal Microcircuit Model |
title_fullStr |
Effects of Several Classes of Voltage-Gated Ion Channel Conductances on Gamma and Theta Oscillations in a Hippocampal Microcircuit Model |
title_full_unstemmed |
Effects of Several Classes of Voltage-Gated Ion Channel Conductances on Gamma and Theta Oscillations in a Hippocampal Microcircuit Model |
title_sort |
effects of several classes of voltage-gated ion channel conductances on gamma and theta oscillations in a hippocampal microcircuit model |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Computational Neuroscience |
issn |
1662-5188 |
publishDate |
2021-04-01 |
description |
Gamma and theta oscillations have been functionally associated with cognitive processes, such as learning and memory. Synaptic conductances play an important role in the generation of intrinsic network rhythmicity, but few studies have examined the effects of voltage-gated ion channels (VGICs) on these rhythms. In this report, we have used a pyramidal-interneuron-gamma (PING) network consisting of excitatory pyramidal cells and two types of inhibitory interneurons. We have constructed a conductance-based neural network incorporating a persistent sodium current (INaP), a delayed rectifier potassium current (IKDR), a inactivating potassium current (IA) and a hyperpolarization-activated current (IH). We have investigated the effects of several conductances on network theta and gamma frequency oscillations. Variation of all conductances of interest changed network rhythmicity. Theta power was altered by all conductances tested. Gamma rhythmogenesis was dependent on IA and IH. The IKDR currents in excitatory pyramidal cells as well as both types of inhibitory interneurons were essential for theta rhythmogenesis and altered gamma rhythm properties. Increasing INaP suppressed both gamma and theta rhythms. Addition of noise did not alter these patterns. Our findings suggest that VGICs strongly affect brain network rhythms. Further investigations in vivo will be of great interest, including potential effects on neural function and cognition. |
topic |
neural oscillations theta rhythmogenesis gamma rhythmogenesis voltage-gated ion channels pyramidal-interneuron-gamma network hippocampal neural network |
url |
https://www.frontiersin.org/articles/10.3389/fncom.2021.630271/full |
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