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Signal Propagation via Open-Loop Intrathalamic Architectures: A Computational Model

Propagation of signals across the cerebral cortex is a core component of many cognitive processes and is generally thought to be mediated by direct intracortical connectivity. The thalamus, by contrast, is considered to be devoid of internal connections and organized as a collection of parallel inpu...

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Autores principales: Brown, Jeffrey W., Taheri, Aynaz, Kenyon, Robert V., Berger-Wolf, Tanya Y., Llano, Daniel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society for Neuroscience 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053175/
https://www.ncbi.nlm.nih.gov/pubmed/32005750
http://dx.doi.org/10.1523/ENEURO.0441-19.2020
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author Brown, Jeffrey W.
Taheri, Aynaz
Kenyon, Robert V.
Berger-Wolf, Tanya Y.
Llano, Daniel A.
author_facet Brown, Jeffrey W.
Taheri, Aynaz
Kenyon, Robert V.
Berger-Wolf, Tanya Y.
Llano, Daniel A.
author_sort Brown, Jeffrey W.
collection PubMed
description Propagation of signals across the cerebral cortex is a core component of many cognitive processes and is generally thought to be mediated by direct intracortical connectivity. The thalamus, by contrast, is considered to be devoid of internal connections and organized as a collection of parallel inputs to the cortex. Here, we provide evidence that “open-loop” intrathalamic pathways involving the thalamic reticular nucleus (TRN) can support propagation of oscillatory activity across the cortex. Recent studies support the existence of open-loop thalamo-reticulo-thalamic (TC-TRN-TC) synaptic motifs in addition to traditional closed-loop architectures. We hypothesized that open-loop structural modules, when connected in series, might underlie thalamic and, therefore cortical, signal propagation. Using a supercomputing platform to simulate thousands of permutations of a thalamocortical network based on physiological data collected in mice, rats, ferrets, and cats and in which select synapses were allowed to vary both by class and individually, we evaluated the relative capacities of closed-loop and open-loop TC-TRN-TC synaptic configurations to support both propagation and oscillation. We observed that (1) signal propagation was best supported in networks possessing strong open-loop TC-TRN-TC connectivity; (2) intrareticular synapses were neither primary substrates of propagation nor oscillation; and (3) heterogeneous synaptic networks supported more robust propagation of oscillation than their homogeneous counterparts. These findings suggest that open-loop, heterogeneous intrathalamic architectures might complement direct intracortical connectivity to facilitate cortical signal propagation.
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spelling pubmed-70531752020-03-03 Signal Propagation via Open-Loop Intrathalamic Architectures: A Computational Model Brown, Jeffrey W. Taheri, Aynaz Kenyon, Robert V. Berger-Wolf, Tanya Y. Llano, Daniel A. eNeuro Research Article: New Research Propagation of signals across the cerebral cortex is a core component of many cognitive processes and is generally thought to be mediated by direct intracortical connectivity. The thalamus, by contrast, is considered to be devoid of internal connections and organized as a collection of parallel inputs to the cortex. Here, we provide evidence that “open-loop” intrathalamic pathways involving the thalamic reticular nucleus (TRN) can support propagation of oscillatory activity across the cortex. Recent studies support the existence of open-loop thalamo-reticulo-thalamic (TC-TRN-TC) synaptic motifs in addition to traditional closed-loop architectures. We hypothesized that open-loop structural modules, when connected in series, might underlie thalamic and, therefore cortical, signal propagation. Using a supercomputing platform to simulate thousands of permutations of a thalamocortical network based on physiological data collected in mice, rats, ferrets, and cats and in which select synapses were allowed to vary both by class and individually, we evaluated the relative capacities of closed-loop and open-loop TC-TRN-TC synaptic configurations to support both propagation and oscillation. We observed that (1) signal propagation was best supported in networks possessing strong open-loop TC-TRN-TC connectivity; (2) intrareticular synapses were neither primary substrates of propagation nor oscillation; and (3) heterogeneous synaptic networks supported more robust propagation of oscillation than their homogeneous counterparts. These findings suggest that open-loop, heterogeneous intrathalamic architectures might complement direct intracortical connectivity to facilitate cortical signal propagation. Society for Neuroscience 2020-02-18 /pmc/articles/PMC7053175/ /pubmed/32005750 http://dx.doi.org/10.1523/ENEURO.0441-19.2020 Text en Copyright © 2020 Brown et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
spellingShingle Research Article: New Research
Brown, Jeffrey W.
Taheri, Aynaz
Kenyon, Robert V.
Berger-Wolf, Tanya Y.
Llano, Daniel A.
Signal Propagation via Open-Loop Intrathalamic Architectures: A Computational Model
title Signal Propagation via Open-Loop Intrathalamic Architectures: A Computational Model
title_full Signal Propagation via Open-Loop Intrathalamic Architectures: A Computational Model
title_fullStr Signal Propagation via Open-Loop Intrathalamic Architectures: A Computational Model
title_full_unstemmed Signal Propagation via Open-Loop Intrathalamic Architectures: A Computational Model
title_short Signal Propagation via Open-Loop Intrathalamic Architectures: A Computational Model
title_sort signal propagation via open-loop intrathalamic architectures: a computational model
topic Research Article: New Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053175/
https://www.ncbi.nlm.nih.gov/pubmed/32005750
http://dx.doi.org/10.1523/ENEURO.0441-19.2020
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