Spatiotemporal whole-brain activity and functional connectivity of melodies recognition
Music is a non-verbal human language, built on logical, hierarchical structures, that offers excellent opportunities to explore how the brain processes complex spatiotemporal auditory sequences. Using the high temporal resolution of magnetoencephalography, we investigated the unfolding brain dynamic...
| Autores: | , , , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| 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:10230/70433 |
| Acceso en línea: | http://hdl.handle.net/10230/70433 http://dx.doi.org/10.1093/cercor/bhae320 |
| Access Level: | acceso abierto |
| Palabra clave: | Memory Sequence recognition Brain spatiotemporal dynamics Functional connectivity Magnetoencephalography (MEG) |
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Spatiotemporal whole-brain activity and functional connectivity of melodies recognition |
| title |
Spatiotemporal whole-brain activity and functional connectivity of melodies recognition |
| spellingShingle |
Spatiotemporal whole-brain activity and functional connectivity of melodies recognition Bonetti, Leonardo Memory Sequence recognition Brain spatiotemporal dynamics Functional connectivity Magnetoencephalography (MEG) |
| title_short |
Spatiotemporal whole-brain activity and functional connectivity of melodies recognition |
| title_full |
Spatiotemporal whole-brain activity and functional connectivity of melodies recognition |
| title_fullStr |
Spatiotemporal whole-brain activity and functional connectivity of melodies recognition |
| title_full_unstemmed |
Spatiotemporal whole-brain activity and functional connectivity of melodies recognition |
| title_sort |
Spatiotemporal whole-brain activity and functional connectivity of melodies recognition |
| dc.creator.none.fl_str_mv |
Bonetti, Leonardo Brattico, Elvira Carlomagno, Francesco Cabral, Joana Stevner, Angus Deco, Gustavo Whybrow, Peter C. Pearce, Marcus Pantazis, Dimitrios Vuust, Peter Kringelbach, Morten L. |
| author |
Bonetti, Leonardo |
| author_facet |
Bonetti, Leonardo Brattico, Elvira Carlomagno, Francesco Cabral, Joana Stevner, Angus Deco, Gustavo Whybrow, Peter C. Pearce, Marcus Pantazis, Dimitrios Vuust, Peter Kringelbach, Morten L. |
| author_role |
author |
| author2 |
Brattico, Elvira Carlomagno, Francesco Cabral, Joana Stevner, Angus Deco, Gustavo Whybrow, Peter C. Pearce, Marcus Pantazis, Dimitrios Vuust, Peter Kringelbach, Morten L. |
| author2_role |
author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Memory Sequence recognition Brain spatiotemporal dynamics Functional connectivity Magnetoencephalography (MEG) |
| topic |
Memory Sequence recognition Brain spatiotemporal dynamics Functional connectivity Magnetoencephalography (MEG) |
| description |
Music is a non-verbal human language, built on logical, hierarchical structures, that offers excellent opportunities to explore how the brain processes complex spatiotemporal auditory sequences. Using the high temporal resolution of magnetoencephalography, we investigated the unfolding brain dynamics of 70 participants during the recognition of previously memorized musical sequences compared to novel sequences matched in terms of entropy and information content. Measures of both whole-brain activity and functional connectivity revealed a widespread brain network underlying the recognition of the memorized auditory sequences, which comprised primary auditory cortex, superior temporal gyrus, insula, frontal operculum, cingulate gyrus, orbitofrontal cortex, basal ganglia, thalamus, and hippocampus. Furthermore, while the auditory cortex responded mainly to the first tones of the sequences, the activity of higher-order brain areas such as the cingulate gyrus, frontal operculum, hippocampus, and orbitofrontal cortex largely increased over time during the recognition of the memorized versus novel musical sequences. In conclusion, using a wide range of analytical techniques spanning from decoding to functional connectivity and building on previous works, our study provided new insights into the spatiotemporal whole-brain mechanisms for conscious recognition of auditory sequences. |
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2024 |
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2024 2025 2025 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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http://hdl.handle.net/10230/70433 http://dx.doi.org/10.1093/cercor/bhae320 http://hdl.handle.net/10230/70433 |
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http://hdl.handle.net/10230/70433 http://dx.doi.org/10.1093/cercor/bhae320 |
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Inglés |
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Inglés |
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Cerebral Cortex. 2024 Aug;34(8):bhae320 info:eu-repo/grantAgreement/EC/H2020/720270 info:eu-repo/grantAgreement/EC/H2020/785907 info:eu-repo/grantAgreement/ES/1PE/PSI2016-75688-P |
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http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
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http://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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application/pdf application/pdf |
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Oxford University Press |
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Oxford University Press |
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reponame:Recercat. Dipósit de la Recerca de Catalunya instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
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Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
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Recercat. Dipósit de la Recerca de Catalunya |
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Recercat. Dipósit de la Recerca de Catalunya |
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1869410453320368128 |
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Spatiotemporal whole-brain activity and functional connectivity of melodies recognitionBonetti, LeonardoBrattico, ElviraCarlomagno, FrancescoCabral, JoanaStevner, AngusDeco, GustavoWhybrow, Peter C.Pearce, MarcusPantazis, DimitriosVuust, PeterKringelbach, Morten L.MemorySequence recognitionBrain spatiotemporal dynamicsFunctional connectivityMagnetoencephalography (MEG)Music is a non-verbal human language, built on logical, hierarchical structures, that offers excellent opportunities to explore how the brain processes complex spatiotemporal auditory sequences. Using the high temporal resolution of magnetoencephalography, we investigated the unfolding brain dynamics of 70 participants during the recognition of previously memorized musical sequences compared to novel sequences matched in terms of entropy and information content. Measures of both whole-brain activity and functional connectivity revealed a widespread brain network underlying the recognition of the memorized auditory sequences, which comprised primary auditory cortex, superior temporal gyrus, insula, frontal operculum, cingulate gyrus, orbitofrontal cortex, basal ganglia, thalamus, and hippocampus. Furthermore, while the auditory cortex responded mainly to the first tones of the sequences, the activity of higher-order brain areas such as the cingulate gyrus, frontal operculum, hippocampus, and orbitofrontal cortex largely increased over time during the recognition of the memorized versus novel musical sequences. In conclusion, using a wide range of analytical techniques spanning from decoding to functional connectivity and building on previous works, our study provided new insights into the spatiotemporal whole-brain mechanisms for conscious recognition of auditory sequences.The Center for Music in the Brain (MIB) is funded by the Danish National Research Foundation (project number DNRF117). L.B. is supported by Lundbeck Foundation (Talent Prize 2022), Carlsberg Foundation (CF20-0239), 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). M.L.K. is supported by Center for Music in the Brain, funded by the Danish National Research Foundation (DNRF117), and Centre for Eudaimonia and Human Flourishing funded by the Pettit and Carlsberg Foundations. G.D. 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 n. 720270 (HBP SGA1) and n. 785907 (HBP SGA2), and by the Catalan AGAUR Programme 2017 SGR 1545. J. C. is supported by La Caixa Foundation, Spain (LCF/BQ/PR22/11920014) and the Foundation for Science and Technology, Portugal (UIDB/50026/2020, UIDP/50026/2020). Additionally, we thank the Italian section of Mensa: The International High IQ Society for the economic support provided to the author Francesco Carlomagno and the University of Bologna for the economic support provided to the students Giulia Donati, Riccardo Proietti, and Giulio Carraturo.Oxford University Press202520252024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/70433http://dx.doi.org/10.1093/cercor/bhae320http://hdl.handle.net/10230/70433reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésCerebral Cortex. 2024 Aug;34(8):bhae320info:eu-repo/grantAgreement/EC/H2020/720270info:eu-repo/grantAgreement/EC/H2020/785907info:eu-repo/grantAgreement/ES/1PE/PSI2016-75688-P© The Author(s) 2024. 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.http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/704332026-05-29T05:05:01Z |
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15.228081 |