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Functional geometry of auditory cortical resting state networks derived from intracranial electrophysiology

Understanding central auditory processing critically depends on defining underlying auditory cortical networks and their relationship to the rest of the brain. We addressed these questions using resting state functional connectivity derived from human intracranial electroencephalography. Mapping rec...

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Autores principales: Banks, Matthew I., Krause, Bryan M., Berger, D. Graham, Campbell, Declan I., Boes, Aaron D., Bruss, Joel E., Kovach, Christopher K., Kawasaki, Hiroto, Steinschneider, Mitchell, Nourski, Kirill V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499207/
https://www.ncbi.nlm.nih.gov/pubmed/37651504
http://dx.doi.org/10.1371/journal.pbio.3002239
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author Banks, Matthew I.
Krause, Bryan M.
Berger, D. Graham
Campbell, Declan I.
Boes, Aaron D.
Bruss, Joel E.
Kovach, Christopher K.
Kawasaki, Hiroto
Steinschneider, Mitchell
Nourski, Kirill V.
author_facet Banks, Matthew I.
Krause, Bryan M.
Berger, D. Graham
Campbell, Declan I.
Boes, Aaron D.
Bruss, Joel E.
Kovach, Christopher K.
Kawasaki, Hiroto
Steinschneider, Mitchell
Nourski, Kirill V.
author_sort Banks, Matthew I.
collection PubMed
description Understanding central auditory processing critically depends on defining underlying auditory cortical networks and their relationship to the rest of the brain. We addressed these questions using resting state functional connectivity derived from human intracranial electroencephalography. Mapping recording sites into a low-dimensional space where proximity represents functional similarity revealed a hierarchical organization. At a fine scale, a group of auditory cortical regions excluded several higher-order auditory areas and segregated maximally from the prefrontal cortex. On mesoscale, the proximity of limbic structures to the auditory cortex suggested a limbic stream that parallels the classically described ventral and dorsal auditory processing streams. Identities of global hubs in anterior temporal and cingulate cortex depended on frequency band, consistent with diverse roles in semantic and cognitive processing. On a macroscale, observed hemispheric asymmetries were not specific for speech and language networks. This approach can be applied to multivariate brain data with respect to development, behavior, and disorders.
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spelling pubmed-104992072023-09-14 Functional geometry of auditory cortical resting state networks derived from intracranial electrophysiology Banks, Matthew I. Krause, Bryan M. Berger, D. Graham Campbell, Declan I. Boes, Aaron D. Bruss, Joel E. Kovach, Christopher K. Kawasaki, Hiroto Steinschneider, Mitchell Nourski, Kirill V. PLoS Biol Research Article Understanding central auditory processing critically depends on defining underlying auditory cortical networks and their relationship to the rest of the brain. We addressed these questions using resting state functional connectivity derived from human intracranial electroencephalography. Mapping recording sites into a low-dimensional space where proximity represents functional similarity revealed a hierarchical organization. At a fine scale, a group of auditory cortical regions excluded several higher-order auditory areas and segregated maximally from the prefrontal cortex. On mesoscale, the proximity of limbic structures to the auditory cortex suggested a limbic stream that parallels the classically described ventral and dorsal auditory processing streams. Identities of global hubs in anterior temporal and cingulate cortex depended on frequency band, consistent with diverse roles in semantic and cognitive processing. On a macroscale, observed hemispheric asymmetries were not specific for speech and language networks. This approach can be applied to multivariate brain data with respect to development, behavior, and disorders. Public Library of Science 2023-08-31 /pmc/articles/PMC10499207/ /pubmed/37651504 http://dx.doi.org/10.1371/journal.pbio.3002239 Text en © 2023 Banks et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Banks, Matthew I.
Krause, Bryan M.
Berger, D. Graham
Campbell, Declan I.
Boes, Aaron D.
Bruss, Joel E.
Kovach, Christopher K.
Kawasaki, Hiroto
Steinschneider, Mitchell
Nourski, Kirill V.
Functional geometry of auditory cortical resting state networks derived from intracranial electrophysiology
title Functional geometry of auditory cortical resting state networks derived from intracranial electrophysiology
title_full Functional geometry of auditory cortical resting state networks derived from intracranial electrophysiology
title_fullStr Functional geometry of auditory cortical resting state networks derived from intracranial electrophysiology
title_full_unstemmed Functional geometry of auditory cortical resting state networks derived from intracranial electrophysiology
title_short Functional geometry of auditory cortical resting state networks derived from intracranial electrophysiology
title_sort functional geometry of auditory cortical resting state networks derived from intracranial electrophysiology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499207/
https://www.ncbi.nlm.nih.gov/pubmed/37651504
http://dx.doi.org/10.1371/journal.pbio.3002239
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