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Computational study of NMDA conductance and cortical oscillations in schizophrenia

N-methyl-D-aspartate (NMDA) receptor hypofunction has been implicated in the pathophysiology of schizophrenia. The illness is also characterized by gamma oscillatory disturbances, which can be evaluated with precise frequency specificity employing auditory cortical entrainment paradigms. This comput...

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Detalles Bibliográficos
Autores principales: Kirli, Kübra Komek, Ermentrout, G. B., Cho, Raymond Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4201161/
https://www.ncbi.nlm.nih.gov/pubmed/25368573
http://dx.doi.org/10.3389/fncom.2014.00133
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author Kirli, Kübra Komek
Ermentrout, G. B.
Cho, Raymond Y.
author_facet Kirli, Kübra Komek
Ermentrout, G. B.
Cho, Raymond Y.
author_sort Kirli, Kübra Komek
collection PubMed
description N-methyl-D-aspartate (NMDA) receptor hypofunction has been implicated in the pathophysiology of schizophrenia. The illness is also characterized by gamma oscillatory disturbances, which can be evaluated with precise frequency specificity employing auditory cortical entrainment paradigms. This computational study investigates how synaptic NMDA hypofunction may give rise to network level oscillatory deficits as indexed by entrainment paradigms. We developed a computational model of a local cortical circuit with pyramidal cells and fast-spiking interneurons (FSI), incorporating NMDA, α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic (AMPA), and γ-aminobutyric acid (GABA) synaptic kinetics. We evaluated the effects of varying NMDA conductance on FSIs and pyramidal cells, as well as AMPA to NMDA ratio. We also examined the differential effects across a broad range of entrainment frequencies as a function of NMDA conductance. Varying NMDA conductance onto FSIs revealed an inverted-U relation with network gamma whereas NMDA conductance onto the pyramidal cells had a more monotonic relationship. Varying NMDA vs. AMPA conductance onto FSIs demonstrated the necessity of AMPA in the generation of gamma while NMDA receptors had a modulatory role. Finally, reducing NMDA conductance onto FSI and varying the stimulus input frequency reproduced the specific reductions in gamma range (~40 Hz) as observed in schizophrenia studies. Our computational study showed that reductions in NMDA conductance onto FSIs can reproduce similar disturbances in entrainment to periodic stimuli within the gamma range as reported in schizophrenia studies. These findings provide a mechanistic account of how specific cellular level disturbances can give rise to circuitry level pathophysiologic disturbance in schizophrenia.
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spelling pubmed-42011612014-11-03 Computational study of NMDA conductance and cortical oscillations in schizophrenia Kirli, Kübra Komek Ermentrout, G. B. Cho, Raymond Y. Front Comput Neurosci Neuroscience N-methyl-D-aspartate (NMDA) receptor hypofunction has been implicated in the pathophysiology of schizophrenia. The illness is also characterized by gamma oscillatory disturbances, which can be evaluated with precise frequency specificity employing auditory cortical entrainment paradigms. This computational study investigates how synaptic NMDA hypofunction may give rise to network level oscillatory deficits as indexed by entrainment paradigms. We developed a computational model of a local cortical circuit with pyramidal cells and fast-spiking interneurons (FSI), incorporating NMDA, α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic (AMPA), and γ-aminobutyric acid (GABA) synaptic kinetics. We evaluated the effects of varying NMDA conductance on FSIs and pyramidal cells, as well as AMPA to NMDA ratio. We also examined the differential effects across a broad range of entrainment frequencies as a function of NMDA conductance. Varying NMDA conductance onto FSIs revealed an inverted-U relation with network gamma whereas NMDA conductance onto the pyramidal cells had a more monotonic relationship. Varying NMDA vs. AMPA conductance onto FSIs demonstrated the necessity of AMPA in the generation of gamma while NMDA receptors had a modulatory role. Finally, reducing NMDA conductance onto FSI and varying the stimulus input frequency reproduced the specific reductions in gamma range (~40 Hz) as observed in schizophrenia studies. Our computational study showed that reductions in NMDA conductance onto FSIs can reproduce similar disturbances in entrainment to periodic stimuli within the gamma range as reported in schizophrenia studies. These findings provide a mechanistic account of how specific cellular level disturbances can give rise to circuitry level pathophysiologic disturbance in schizophrenia. Frontiers Media S.A. 2014-10-17 /pmc/articles/PMC4201161/ /pubmed/25368573 http://dx.doi.org/10.3389/fncom.2014.00133 Text en Copyright © 2014 Kirli, Ermentrout and Cho. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Kirli, Kübra Komek
Ermentrout, G. B.
Cho, Raymond Y.
Computational study of NMDA conductance and cortical oscillations in schizophrenia
title Computational study of NMDA conductance and cortical oscillations in schizophrenia
title_full Computational study of NMDA conductance and cortical oscillations in schizophrenia
title_fullStr Computational study of NMDA conductance and cortical oscillations in schizophrenia
title_full_unstemmed Computational study of NMDA conductance and cortical oscillations in schizophrenia
title_short Computational study of NMDA conductance and cortical oscillations in schizophrenia
title_sort computational study of nmda conductance and cortical oscillations in schizophrenia
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4201161/
https://www.ncbi.nlm.nih.gov/pubmed/25368573
http://dx.doi.org/10.3389/fncom.2014.00133
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