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Cortical traveling waves reflect state-dependent hierarchical sequencing of local regions in the human connectome network

Recent human studies using electrocorticography have demonstrated that alpha and theta band oscillations form traveling waves on the cortical surface. According to neural synchronization theories, the cortical traveling waves may group local cortical regions and sequence them by phase synchronizatio...

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Autor principal: Sato, Naoyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748796/
https://www.ncbi.nlm.nih.gov/pubmed/35013416
http://dx.doi.org/10.1038/s41598-021-04169-9
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author Sato, Naoyuki
author_facet Sato, Naoyuki
author_sort Sato, Naoyuki
collection PubMed
description Recent human studies using electrocorticography have demonstrated that alpha and theta band oscillations form traveling waves on the cortical surface. According to neural synchronization theories, the cortical traveling waves may group local cortical regions and sequence them by phase synchronization; however these contributions have not yet been assessed. This study aimed to evaluate the functional contributions of traveling waves using connectome-based network modeling. In the simulation, we observed stable traveling waves on the entire cortical surface wherein the topographical pattern of these phases was substantially correlated with the empirically obtained resting-state networks, and local radial waves also appeared within the size of the empirical networks (< 50 mm). Importantly, individual regions in the entire network were instantaneously sequenced by their internal frequencies, and regions with higher intrinsic frequency were seen in the earlier phases of the traveling waves. Based on the communication-through-coherence theory, this phase configuration produced a hierarchical organization of each region by unidirectional communication between the arbitrarily paired regions. In conclusion, cortical traveling waves reflect the intrinsic frequency-dependent hierarchical sequencing of local regions, global traveling waves sequence the set of large-scale cortical networks, and local traveling waves sequence local regions within individual cortical networks.
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spelling pubmed-87487962022-01-11 Cortical traveling waves reflect state-dependent hierarchical sequencing of local regions in the human connectome network Sato, Naoyuki Sci Rep Article Recent human studies using electrocorticography have demonstrated that alpha and theta band oscillations form traveling waves on the cortical surface. According to neural synchronization theories, the cortical traveling waves may group local cortical regions and sequence them by phase synchronization; however these contributions have not yet been assessed. This study aimed to evaluate the functional contributions of traveling waves using connectome-based network modeling. In the simulation, we observed stable traveling waves on the entire cortical surface wherein the topographical pattern of these phases was substantially correlated with the empirically obtained resting-state networks, and local radial waves also appeared within the size of the empirical networks (< 50 mm). Importantly, individual regions in the entire network were instantaneously sequenced by their internal frequencies, and regions with higher intrinsic frequency were seen in the earlier phases of the traveling waves. Based on the communication-through-coherence theory, this phase configuration produced a hierarchical organization of each region by unidirectional communication between the arbitrarily paired regions. In conclusion, cortical traveling waves reflect the intrinsic frequency-dependent hierarchical sequencing of local regions, global traveling waves sequence the set of large-scale cortical networks, and local traveling waves sequence local regions within individual cortical networks. Nature Publishing Group UK 2022-01-10 /pmc/articles/PMC8748796/ /pubmed/35013416 http://dx.doi.org/10.1038/s41598-021-04169-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Sato, Naoyuki
Cortical traveling waves reflect state-dependent hierarchical sequencing of local regions in the human connectome network
title Cortical traveling waves reflect state-dependent hierarchical sequencing of local regions in the human connectome network
title_full Cortical traveling waves reflect state-dependent hierarchical sequencing of local regions in the human connectome network
title_fullStr Cortical traveling waves reflect state-dependent hierarchical sequencing of local regions in the human connectome network
title_full_unstemmed Cortical traveling waves reflect state-dependent hierarchical sequencing of local regions in the human connectome network
title_short Cortical traveling waves reflect state-dependent hierarchical sequencing of local regions in the human connectome network
title_sort cortical traveling waves reflect state-dependent hierarchical sequencing of local regions in the human connectome network
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748796/
https://www.ncbi.nlm.nih.gov/pubmed/35013416
http://dx.doi.org/10.1038/s41598-021-04169-9
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