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Simulations predict differing phase responses to excitation vs. inhibition in theta-resonant pyramidal neurons

Rhythmic activity is ubiquitous in neural systems, with theta-resonant pyramidal neurons integrating rhythmic inputs in many cortical structures. Impedance analysis has been widely used to examine frequency-dependent responses of neuronal membranes to rhythmic inputs, but it assumes that the neurona...

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Autores principales: Kelley, Craig, Antic, Srdjan D., Carnevale, Nicholas T., Kubie, John L., Lytton, William W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Physiological Society 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648938/
https://www.ncbi.nlm.nih.gov/pubmed/37609720
http://dx.doi.org/10.1152/jn.00160.2023
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author Kelley, Craig
Antic, Srdjan D.
Carnevale, Nicholas T.
Kubie, John L.
Lytton, William W.
author_facet Kelley, Craig
Antic, Srdjan D.
Carnevale, Nicholas T.
Kubie, John L.
Lytton, William W.
author_sort Kelley, Craig
collection PubMed
description Rhythmic activity is ubiquitous in neural systems, with theta-resonant pyramidal neurons integrating rhythmic inputs in many cortical structures. Impedance analysis has been widely used to examine frequency-dependent responses of neuronal membranes to rhythmic inputs, but it assumes that the neuronal membrane is a linear system, requiring the use of small signals to stay in a near-linear regime. However, postsynaptic potentials are often large and trigger nonlinear mechanisms (voltage-gated ion channels). The goals of this work were to 1) develop an analysis method to evaluate membrane responses in this nonlinear domain and 2) explore phase relationships between rhythmic stimuli and subthreshold and spiking membrane potential (V(memb)) responses in models of theta-resonant pyramidal neurons. Responses in these output regimes were asymmetrical, with different phase shifts during hyperpolarizing and depolarizing half-cycles. Suprathreshold theta-rhythmic stimuli produced nonstationary V(memb) responses. Sinusoidal inputs produced “phase retreat”: action potentials occurred progressively later in cycles of the input stimulus, resulting from adaptation. Sinusoidal current with increasing amplitude over cycles produced “phase advance”: action potentials occurred progressively earlier. Phase retreat, phase advance, and subthreshold phase shifts were modulated by multiple ion channel conductances. Our results suggest differential responses of cortical neurons depending on the frequency of oscillatory input, which will play a role in neuronal responses to shifts in network state. We hypothesize that intrinsic cellular properties complement network properties and contribute to in vivo phase-shift phenomena such as phase precession, seen in place and grid cells, and phase roll, also observed in hippocampal CA1 neurons. NEW & NOTEWORTHY We augmented electrical impedance analysis to characterize phase shifts between large-amplitude current stimuli and nonlinear, asymmetric membrane potential responses. We predict different frequency-dependent phase shifts in response excitation vs. inhibition, as well as shifts in spike timing over multiple input cycles, in theta-resonant pyramidal neurons. We hypothesize that these effects contribute to navigation-related phenomena such as phase precession and phase roll. Our neuron-level hypothesis complements, rather than falsifies, prior network-level explanations of these phenomena.
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spelling pubmed-106489382023-08-23 Simulations predict differing phase responses to excitation vs. inhibition in theta-resonant pyramidal neurons Kelley, Craig Antic, Srdjan D. Carnevale, Nicholas T. Kubie, John L. Lytton, William W. J Neurophysiol Research Article Rhythmic activity is ubiquitous in neural systems, with theta-resonant pyramidal neurons integrating rhythmic inputs in many cortical structures. Impedance analysis has been widely used to examine frequency-dependent responses of neuronal membranes to rhythmic inputs, but it assumes that the neuronal membrane is a linear system, requiring the use of small signals to stay in a near-linear regime. However, postsynaptic potentials are often large and trigger nonlinear mechanisms (voltage-gated ion channels). The goals of this work were to 1) develop an analysis method to evaluate membrane responses in this nonlinear domain and 2) explore phase relationships between rhythmic stimuli and subthreshold and spiking membrane potential (V(memb)) responses in models of theta-resonant pyramidal neurons. Responses in these output regimes were asymmetrical, with different phase shifts during hyperpolarizing and depolarizing half-cycles. Suprathreshold theta-rhythmic stimuli produced nonstationary V(memb) responses. Sinusoidal inputs produced “phase retreat”: action potentials occurred progressively later in cycles of the input stimulus, resulting from adaptation. Sinusoidal current with increasing amplitude over cycles produced “phase advance”: action potentials occurred progressively earlier. Phase retreat, phase advance, and subthreshold phase shifts were modulated by multiple ion channel conductances. Our results suggest differential responses of cortical neurons depending on the frequency of oscillatory input, which will play a role in neuronal responses to shifts in network state. We hypothesize that intrinsic cellular properties complement network properties and contribute to in vivo phase-shift phenomena such as phase precession, seen in place and grid cells, and phase roll, also observed in hippocampal CA1 neurons. NEW & NOTEWORTHY We augmented electrical impedance analysis to characterize phase shifts between large-amplitude current stimuli and nonlinear, asymmetric membrane potential responses. We predict different frequency-dependent phase shifts in response excitation vs. inhibition, as well as shifts in spike timing over multiple input cycles, in theta-resonant pyramidal neurons. We hypothesize that these effects contribute to navigation-related phenomena such as phase precession and phase roll. Our neuron-level hypothesis complements, rather than falsifies, prior network-level explanations of these phenomena. American Physiological Society 2023-10-01 2023-08-23 /pmc/articles/PMC10648938/ /pubmed/37609720 http://dx.doi.org/10.1152/jn.00160.2023 Text en Copyright © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Licensed under Creative Commons Attribution CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/) . Published by the American Physiological Society.
spellingShingle Research Article
Kelley, Craig
Antic, Srdjan D.
Carnevale, Nicholas T.
Kubie, John L.
Lytton, William W.
Simulations predict differing phase responses to excitation vs. inhibition in theta-resonant pyramidal neurons
title Simulations predict differing phase responses to excitation vs. inhibition in theta-resonant pyramidal neurons
title_full Simulations predict differing phase responses to excitation vs. inhibition in theta-resonant pyramidal neurons
title_fullStr Simulations predict differing phase responses to excitation vs. inhibition in theta-resonant pyramidal neurons
title_full_unstemmed Simulations predict differing phase responses to excitation vs. inhibition in theta-resonant pyramidal neurons
title_short Simulations predict differing phase responses to excitation vs. inhibition in theta-resonant pyramidal neurons
title_sort simulations predict differing phase responses to excitation vs. inhibition in theta-resonant pyramidal neurons
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648938/
https://www.ncbi.nlm.nih.gov/pubmed/37609720
http://dx.doi.org/10.1152/jn.00160.2023
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