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A rapid theta network mechanism for flexible information encoding
Flexible behavior requires gating mechanisms that encode only task-relevant information in working memory. Extant literature supports a theoretical division of labor whereby lateral frontoparietal interactions underlie information maintenance and the striatum enacts the gate. Here, we reveal neocort...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10198978/ https://www.ncbi.nlm.nih.gov/pubmed/37208373 http://dx.doi.org/10.1038/s41467-023-38574-7 |
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author | Johnson, Elizabeth L. Lin, Jack J. King-Stephens, David Weber, Peter B. Laxer, Kenneth D. Saez, Ignacio Girgis, Fady D’Esposito, Mark Knight, Robert T. Badre, David |
author_facet | Johnson, Elizabeth L. Lin, Jack J. King-Stephens, David Weber, Peter B. Laxer, Kenneth D. Saez, Ignacio Girgis, Fady D’Esposito, Mark Knight, Robert T. Badre, David |
author_sort | Johnson, Elizabeth L. |
collection | PubMed |
description | Flexible behavior requires gating mechanisms that encode only task-relevant information in working memory. Extant literature supports a theoretical division of labor whereby lateral frontoparietal interactions underlie information maintenance and the striatum enacts the gate. Here, we reveal neocortical gating mechanisms in intracranial EEG patients by identifying rapid, within-trial changes in regional and inter-regional activities that predict subsequent behavioral outputs. Results first demonstrate information accumulation mechanisms that extend prior fMRI (i.e., regional high-frequency activity) and EEG evidence (inter-regional theta synchrony) of distributed neocortical networks in working memory. Second, results demonstrate that rapid changes in theta synchrony, reflected in changing patterns of default mode network connectivity, support filtering. Graph theoretical analyses further linked filtering in task-relevant information and filtering out irrelevant information to dorsal and ventral attention networks, respectively. Results establish a rapid neocortical theta network mechanism for flexible information encoding, a role previously attributed to the striatum. |
format | Online Article Text |
id | pubmed-10198978 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101989782023-05-21 A rapid theta network mechanism for flexible information encoding Johnson, Elizabeth L. Lin, Jack J. King-Stephens, David Weber, Peter B. Laxer, Kenneth D. Saez, Ignacio Girgis, Fady D’Esposito, Mark Knight, Robert T. Badre, David Nat Commun Article Flexible behavior requires gating mechanisms that encode only task-relevant information in working memory. Extant literature supports a theoretical division of labor whereby lateral frontoparietal interactions underlie information maintenance and the striatum enacts the gate. Here, we reveal neocortical gating mechanisms in intracranial EEG patients by identifying rapid, within-trial changes in regional and inter-regional activities that predict subsequent behavioral outputs. Results first demonstrate information accumulation mechanisms that extend prior fMRI (i.e., regional high-frequency activity) and EEG evidence (inter-regional theta synchrony) of distributed neocortical networks in working memory. Second, results demonstrate that rapid changes in theta synchrony, reflected in changing patterns of default mode network connectivity, support filtering. Graph theoretical analyses further linked filtering in task-relevant information and filtering out irrelevant information to dorsal and ventral attention networks, respectively. Results establish a rapid neocortical theta network mechanism for flexible information encoding, a role previously attributed to the striatum. Nature Publishing Group UK 2023-05-19 /pmc/articles/PMC10198978/ /pubmed/37208373 http://dx.doi.org/10.1038/s41467-023-38574-7 Text en © The Author(s) 2023 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Johnson, Elizabeth L. Lin, Jack J. King-Stephens, David Weber, Peter B. Laxer, Kenneth D. Saez, Ignacio Girgis, Fady D’Esposito, Mark Knight, Robert T. Badre, David A rapid theta network mechanism for flexible information encoding |
title | A rapid theta network mechanism for flexible information encoding |
title_full | A rapid theta network mechanism for flexible information encoding |
title_fullStr | A rapid theta network mechanism for flexible information encoding |
title_full_unstemmed | A rapid theta network mechanism for flexible information encoding |
title_short | A rapid theta network mechanism for flexible information encoding |
title_sort | rapid theta network mechanism for flexible information encoding |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10198978/ https://www.ncbi.nlm.nih.gov/pubmed/37208373 http://dx.doi.org/10.1038/s41467-023-38574-7 |
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