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The Brain Network in a Model of Thalamocortical Dysrhythmia
Sensory information processing and higher cognitive functions rely on the interactions between thalamus and cortex. Many types of neurological and psychiatric disorders are accompanied or driven by alterations in the brain connectivity. In this study, putative changes in functional and effective cor...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mary Ann Liebert, Inc., publishers
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479257/ https://www.ncbi.nlm.nih.gov/pubmed/30520661 http://dx.doi.org/10.1089/brain.2018.0621 |
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author | Zobeiri, Mehrnoush van Luijtelaar, Gilles Budde, Thomas Sysoev, Ilya V. |
author_facet | Zobeiri, Mehrnoush van Luijtelaar, Gilles Budde, Thomas Sysoev, Ilya V. |
author_sort | Zobeiri, Mehrnoush |
collection | PubMed |
description | Sensory information processing and higher cognitive functions rely on the interactions between thalamus and cortex. Many types of neurological and psychiatric disorders are accompanied or driven by alterations in the brain connectivity. In this study, putative changes in functional and effective corticocortical (CC), thalamocortical (TC), and corticothalamic (CT) connectivity during wakefulness and slow-wave sleep (SWS) in a model of thalamocortical dysrhythmia, TRIP8b(−/−) mice, and in control (wild-type or WT) mice are described. Coherence and nonlinear Granger causality (GC) were calculated for twenty 10 s length epochs of SWS and active wakefulness (AW) of each animal. Coherence was reduced between 4 and ca 20 Hz in the cortex and between cortex and thalamus during SWS compared with AW in WT but not in TRIP8b(−/−) mice. Moreover, TRIP8b(−/−) mice showed lower CT coherence during AW compared with WT mice; these differences were no longer present during SWS. Unconditional GC analysis also showed sleep-related reductions in TC and CT couplings in WT mice, while TRIP8b(−/−) mice showed diminished wake and enhanced sleep CC coupling and rather strong CT-directed coupling during wake and sleep, although smaller during sleep. Conditional GC coupling analysis confirmed the diminished CC and enhanced CT coupling in TRIP8b(−/−) mice. Our findings indicate that altered properties of hyperpolarization-activated cyclic nucleotide-gated cation channels, characterizing TRIP8b(−/−) mice, have clear effects on CC, TC, and CT networks. A more complete understanding of the function of the altered communication within these networks awaits detailed phenotyping of TRIP8b(−/−) mice aimed at specifics of sensory and attentional processes. |
format | Online Article Text |
id | pubmed-6479257 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Mary Ann Liebert, Inc., publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-64792572019-04-25 The Brain Network in a Model of Thalamocortical Dysrhythmia Zobeiri, Mehrnoush van Luijtelaar, Gilles Budde, Thomas Sysoev, Ilya V. Brain Connect Original Articles Sensory information processing and higher cognitive functions rely on the interactions between thalamus and cortex. Many types of neurological and psychiatric disorders are accompanied or driven by alterations in the brain connectivity. In this study, putative changes in functional and effective corticocortical (CC), thalamocortical (TC), and corticothalamic (CT) connectivity during wakefulness and slow-wave sleep (SWS) in a model of thalamocortical dysrhythmia, TRIP8b(−/−) mice, and in control (wild-type or WT) mice are described. Coherence and nonlinear Granger causality (GC) were calculated for twenty 10 s length epochs of SWS and active wakefulness (AW) of each animal. Coherence was reduced between 4 and ca 20 Hz in the cortex and between cortex and thalamus during SWS compared with AW in WT but not in TRIP8b(−/−) mice. Moreover, TRIP8b(−/−) mice showed lower CT coherence during AW compared with WT mice; these differences were no longer present during SWS. Unconditional GC analysis also showed sleep-related reductions in TC and CT couplings in WT mice, while TRIP8b(−/−) mice showed diminished wake and enhanced sleep CC coupling and rather strong CT-directed coupling during wake and sleep, although smaller during sleep. Conditional GC coupling analysis confirmed the diminished CC and enhanced CT coupling in TRIP8b(−/−) mice. Our findings indicate that altered properties of hyperpolarization-activated cyclic nucleotide-gated cation channels, characterizing TRIP8b(−/−) mice, have clear effects on CC, TC, and CT networks. A more complete understanding of the function of the altered communication within these networks awaits detailed phenotyping of TRIP8b(−/−) mice aimed at specifics of sensory and attentional processes. Mary Ann Liebert, Inc., publishers 2019-04-01 2019-04-05 /pmc/articles/PMC6479257/ /pubmed/30520661 http://dx.doi.org/10.1089/brain.2018.0621 Text en © Mehrnoush Zobeiri et al. 2019; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons Attribution Noncommercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and the source are cited. |
spellingShingle | Original Articles Zobeiri, Mehrnoush van Luijtelaar, Gilles Budde, Thomas Sysoev, Ilya V. The Brain Network in a Model of Thalamocortical Dysrhythmia |
title | The Brain Network in a Model of Thalamocortical Dysrhythmia |
title_full | The Brain Network in a Model of Thalamocortical Dysrhythmia |
title_fullStr | The Brain Network in a Model of Thalamocortical Dysrhythmia |
title_full_unstemmed | The Brain Network in a Model of Thalamocortical Dysrhythmia |
title_short | The Brain Network in a Model of Thalamocortical Dysrhythmia |
title_sort | brain network in a model of thalamocortical dysrhythmia |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479257/ https://www.ncbi.nlm.nih.gov/pubmed/30520661 http://dx.doi.org/10.1089/brain.2018.0621 |
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