Brain recognition of previously learned versus novel temporal sequences: a differential simultaneous processing

Memory for sequences is a central topic in neuroscience, and decades of studies have investigated the neural mechanisms underlying the coding of a wide array of sequences extended over time. Yet, little is known on the brain mechanisms underlying the recognition of previously memorized versus novel...

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Autores: Bonetti, Leonardo, Brattico, Elvira, Bruzzone, Silvia Elisabetta Portis, Donati, Giovanni, Deco, Gustavo, Pantazis, Dimitrios, Vuust, Peter, Kringelbach, Morten L.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/72799
Acceso en línea:https://hdl.handle.net/10230/72799
http://dx.doi.org/10.1093/cercor/bhac439
Access Level:acceso abierto
Palabra clave:Temporal sequences
Memory recognition
Magnetoencephalography
Brain dynamics
Source reconstruction
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spelling Brain recognition of previously learned versus novel temporal sequences: a differential simultaneous processingBonetti, LeonardoBrattico, ElviraBruzzone, Silvia Elisabetta PortisDonati, GiovanniDeco, GustavoPantazis, DimitriosVuust, PeterKringelbach, Morten L.Temporal sequencesMemory recognitionMagnetoencephalographyBrain dynamicsSource reconstructionMemory for sequences is a central topic in neuroscience, and decades of studies have investigated the neural mechanisms underlying the coding of a wide array of sequences extended over time. Yet, little is known on the brain mechanisms underlying the recognition of previously memorized versus novel temporal sequences. Moreover, the differential brain processing of single items in an auditory temporal sequence compared to the whole superordinate sequence is not fully understood. In this magnetoencephalography (MEG) study, the items of the temporal sequence were independently linked to local and rapid (2-8 Hz) brain processing, while the whole sequence was associated with concurrent global and slower (0.1-1 Hz) processing involving a widespread network of sequentially active brain regions. Notably, the recognition of previously memorized temporal sequences was associated to stronger activity in the slow brain processing, while the novel sequences required a greater involvement of the faster brain processing. Overall, the results expand on well-known information flow from lower- to higher order brain regions. In fact, they reveal the differential involvement of slow and faster whole brain processing to recognize previously learned versus novel temporal information.The Center for Music in the Brain (MIB) is funded by the Danish National Research Foundation (project number DNRF117). LB is supported by the Carlsberg Foundation (CF20-0239), Lundbeck Foundation (Talent Prize 2022), Center for Music in the Brain, Linacre College of the University of Oxford, and Society for Education and Music Psychology (SEMPRE's 50th Anniversary Awards Scheme). MLK is supported by the Center for Music in the Brain, and Centre for Eudaimonia and Human Flourishing funded by the Pettit and Carlsberg Foundations. GD is supported by the Spanish Research Project PSI2016-75688-P (AEI/FEDER, EU), by the European Union's Horizon 2020 Research and Innovation Programme under grant agreements no. 720270 (HBP SGA1) and no. 785907 (HBP SGA2), and by the Catalan AGAUR Programme 2017 SGR 1545. Additionally, we thank the University of Bologna for the economic support provided to the author Giulia Donati and the student assistants Riccardo Proietti and Giulio Carraturo and the Italian section of Mensa: The International High IQ Society for the economic support provided to Francesco Carlomagno. Conflict of interest statement None declared.Oxford University Press2026202620232026info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/10230/72799http://dx.doi.org/10.1093/cercor/bhac439https://hdl.handle.net/10230/72799reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésCerebral Cortex. 2023 May 1;33(9):5524-37info:eu-repo/grantAgreement/EC/H2020/720270info:eu-repo/grantAgreement/EC/H2020/785907© The Author(s) 2022. Published by Oxford University Press. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/727992026-05-29T05:05:01Z
dc.title.none.fl_str_mv Brain recognition of previously learned versus novel temporal sequences: a differential simultaneous processing
title Brain recognition of previously learned versus novel temporal sequences: a differential simultaneous processing
spellingShingle Brain recognition of previously learned versus novel temporal sequences: a differential simultaneous processing
Bonetti, Leonardo
Temporal sequences
Memory recognition
Magnetoencephalography
Brain dynamics
Source reconstruction
title_short Brain recognition of previously learned versus novel temporal sequences: a differential simultaneous processing
title_full Brain recognition of previously learned versus novel temporal sequences: a differential simultaneous processing
title_fullStr Brain recognition of previously learned versus novel temporal sequences: a differential simultaneous processing
title_full_unstemmed Brain recognition of previously learned versus novel temporal sequences: a differential simultaneous processing
title_sort Brain recognition of previously learned versus novel temporal sequences: a differential simultaneous processing
dc.creator.none.fl_str_mv Bonetti, Leonardo
Brattico, Elvira
Bruzzone, Silvia Elisabetta Portis
Donati, Giovanni
Deco, Gustavo
Pantazis, Dimitrios
Vuust, Peter
Kringelbach, Morten L.
author Bonetti, Leonardo
author_facet Bonetti, Leonardo
Brattico, Elvira
Bruzzone, Silvia Elisabetta Portis
Donati, Giovanni
Deco, Gustavo
Pantazis, Dimitrios
Vuust, Peter
Kringelbach, Morten L.
author_role author
author2 Brattico, Elvira
Bruzzone, Silvia Elisabetta Portis
Donati, Giovanni
Deco, Gustavo
Pantazis, Dimitrios
Vuust, Peter
Kringelbach, Morten L.
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Temporal sequences
Memory recognition
Magnetoencephalography
Brain dynamics
Source reconstruction
topic Temporal sequences
Memory recognition
Magnetoencephalography
Brain dynamics
Source reconstruction
description Memory for sequences is a central topic in neuroscience, and decades of studies have investigated the neural mechanisms underlying the coding of a wide array of sequences extended over time. Yet, little is known on the brain mechanisms underlying the recognition of previously memorized versus novel temporal sequences. Moreover, the differential brain processing of single items in an auditory temporal sequence compared to the whole superordinate sequence is not fully understood. In this magnetoencephalography (MEG) study, the items of the temporal sequence were independently linked to local and rapid (2-8 Hz) brain processing, while the whole sequence was associated with concurrent global and slower (0.1-1 Hz) processing involving a widespread network of sequentially active brain regions. Notably, the recognition of previously memorized temporal sequences was associated to stronger activity in the slow brain processing, while the novel sequences required a greater involvement of the faster brain processing. Overall, the results expand on well-known information flow from lower- to higher order brain regions. In fact, they reveal the differential involvement of slow and faster whole brain processing to recognize previously learned versus novel temporal information.
publishDate 2023
dc.date.none.fl_str_mv 2023
2026
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/10230/72799
http://dx.doi.org/10.1093/cercor/bhac439
https://hdl.handle.net/10230/72799
url https://hdl.handle.net/10230/72799
http://dx.doi.org/10.1093/cercor/bhac439
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Cerebral Cortex. 2023 May 1;33(9):5524-37
info:eu-repo/grantAgreement/EC/H2020/720270
info:eu-repo/grantAgreement/EC/H2020/785907
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Oxford University Press
publisher.none.fl_str_mv Oxford University Press
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
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