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dc.contributor.authorRassi, E
dc.contributor.authorZhang, Y
dc.contributor.authorMendoza, G
dc.contributor.authorMéndez, JC
dc.contributor.authorMerchant, H
dc.contributor.authorHaegens, S
dc.date.accessioned2023-06-26T07:21:28Z
dc.date.issued2023-05-22
dc.date.updated2023-06-23T17:33:23Z
dc.description.abstractBased on prior findings of content-specific beta synchronization in working memory and decision making, we hypothesized that beta oscillations support the (re-)activation of cortical representations by mediating neural ensemble formation. We found that beta activity in monkey dorsolateral prefrontal cortex (dlPFC) and pre-supplementary motor area (preSMA) reflects the content of a stimulus in relation to the task context, regardless of its objective properties. In duration- and distance-categorization tasks, we changed the boundary between categories from one block of trials to the next. We found that two distinct beta-band frequencies were consistently associated with the two relative categories, with activity in these bands predicting the animals' responses. We characterized beta at these frequencies as transient bursts, and showed that dlPFC and preSMA are connected via these distinct frequency channels. These results support the role of beta in forming neural ensembles, and further show that such ensembles synchronize at different beta frequencies.en_GB
dc.description.sponsorshipAustrian Science Fund (FWF)en_GB
dc.description.sponsorshipConsejo Nacional de Ciencia y Tecnología (CONACYT)en_GB
dc.description.sponsorshipNWO Vidien_GB
dc.description.sponsorshipNIHen_GB
dc.format.extent2923-
dc.format.mediumElectronic
dc.identifier.citationVol. 14(1), article 2923en_GB
dc.identifier.doihttps://doi.org/10.1038/s41467-023-38675-3
dc.identifier.grantnumberJ4580en_GB
dc.identifier.grantnumberA1-S-8430, UNAM-DGAPA-PAPIIT IN201721en_GB
dc.identifier.grantnumber016.Vidi.185.137en_GB
dc.identifier.grantnumberR01 MH123679en_GB
dc.identifier.urihttp://hdl.handle.net/10871/133494
dc.language.isoenen_GB
dc.publisherNature Researchen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/37217510en_GB
dc.relation.urlhttps://osf.io/pza56/en_GB
dc.rights© The Author(s) 2023. 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/.en_GB
dc.titleDistinct beta frequencies reflect categorical decisionsen_GB
dc.typeArticleen_GB
dc.date.available2023-06-26T07:21:28Z
dc.identifier.issn2041-1723
exeter.article-number2923
exeter.place-of-publicationEngland
dc.descriptionThis is the final version. Available on open access from Nature Research via the DOI in this recorden_GB
dc.descriptionData availability: The data generated in this study have been deposited in the OSF database under the accession code (43) https://osf.io/pza56/. The data are publicly available. Source data are provided in this paper.en_GB
dc.descriptionCode availability: The code used to analyze the data supporting the claims of this study is publicly available here https://osf.io/pza56/.en_GB
dc.identifier.eissn2041-1723
dc.identifier.journalNature Communicationsen_GB
dc.relation.ispartofNat Commun, 14(1)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-05-10
dc.rights.licenseCC BY
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-05-22
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-06-26T07:17:59Z
refterms.versionFCDVoR
refterms.dateFOA2023-06-26T07:22:13Z
refterms.panelAen_GB
refterms.dateFirstOnline2023-05-22


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© The Author(s) 2023. 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/.
Except where otherwise noted, this item's licence is described as © The Author(s) 2023. 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/.