Rapid encoding of musical tones discovered in whole-brain connectivity
Information encoding has received a wide neuroscientific attention, but the underlying rapid spatiotemporal brain dynamics remain largely unknown. Here, we investigated the rapid brain mechanisms for encoding of sounds forming a complex temporal sequence. Specifically, we used magnetoencephalography...
| Autores: | , , , , , , , , |
|---|---|
| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2021 |
| País: | España |
| Recursos: | 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:10230/53538 |
| Acesso em linha: | http://hdl.handle.net/10230/53538 http://doi.org/10.1016/j.neuroimage.2021.118735 |
| Access Level: | acceso abierto |
| Palavra-chave: | Sound encoding Brain dynamics Memory Magnetoencephalography (MEG) Whole-brain functional connectivity |
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Rapid encoding of musical tones discovered in whole-brain connectivity |
| title |
Rapid encoding of musical tones discovered in whole-brain connectivity |
| spellingShingle |
Rapid encoding of musical tones discovered in whole-brain connectivity Bonetti, Leonardo Sound encoding Brain dynamics Memory Magnetoencephalography (MEG) Whole-brain functional connectivity |
| title_short |
Rapid encoding of musical tones discovered in whole-brain connectivity |
| title_full |
Rapid encoding of musical tones discovered in whole-brain connectivity |
| title_fullStr |
Rapid encoding of musical tones discovered in whole-brain connectivity |
| title_full_unstemmed |
Rapid encoding of musical tones discovered in whole-brain connectivity |
| title_sort |
Rapid encoding of musical tones discovered in whole-brain connectivity |
| dc.creator.none.fl_str_mv |
Bonetti, Leonardo Brattico, Elvira Carlomagno, Francesco Donati, Giovanni Cabral, Jose Haumann, Niels Trusbak Deco, Gustavo Vuust, Peter Kringelbach, Morten L. |
| author |
Bonetti, Leonardo |
| author_facet |
Bonetti, Leonardo Brattico, Elvira Carlomagno, Francesco Donati, Giovanni Cabral, Jose Haumann, Niels Trusbak Deco, Gustavo Vuust, Peter Kringelbach, Morten L. |
| author_role |
author |
| author2 |
Brattico, Elvira Carlomagno, Francesco Donati, Giovanni Cabral, Jose Haumann, Niels Trusbak Deco, Gustavo Vuust, Peter Kringelbach, Morten L. |
| author2_role |
author author author author author author author author |
| dc.subject.none.fl_str_mv |
Sound encoding Brain dynamics Memory Magnetoencephalography (MEG) Whole-brain functional connectivity |
| topic |
Sound encoding Brain dynamics Memory Magnetoencephalography (MEG) Whole-brain functional connectivity |
| description |
Information encoding has received a wide neuroscientific attention, but the underlying rapid spatiotemporal brain dynamics remain largely unknown. Here, we investigated the rapid brain mechanisms for encoding of sounds forming a complex temporal sequence. Specifically, we used magnetoencephalography (MEG) to record the brain activity of 68 participants while they listened to a highly structured musical prelude. Functional connectivity analyses performed using phase synchronisation and graph theoretical measures showed a large network of brain areas recruited during encoding of sounds, comprising primary and secondary auditory cortices, frontal operculum, insula, hippocampus and basal ganglia. Moreover, our results highlighted the rapid transition of brain activity from primary auditory cortex to higher order association areas including insula and superior temporal pole within a whole-brain network, occurring during the first 220 ms of the encoding process. Further, we discovered that individual differences along cognitive abilities and musicianship modulated the degree centrality of the brain areas implicated in the encoding process. Indeed, participants with higher musical expertise presented a stronger centrality of superior temporal gyrus and insula, while individuals with high working memory abilities showed a stronger centrality of frontal operculum. In conclusion, our study revealed the rapid unfolding of brain network dynamics responsible for the encoding of sounds and their relationship with individual differences, showing a complex picture which extends beyond the well-known involvement of auditory areas. Indeed, our results expanded our understanding of the general mechanisms underlying auditory pattern encoding in the human brain |
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2021 |
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2021 2022 2022 |
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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/10230/53538 http://doi.org/10.1016/j.neuroimage.2021.118735 |
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http://hdl.handle.net/10230/53538 http://doi.org/10.1016/j.neuroimage.2021.118735 |
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Inglés |
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Inglés |
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NeuroImage. 2021;245:118735. info:eu-repo/grantAgreement/EC/H2020/720270 info:eu-repo/grantAgreement/ES/1PE/PSI2016-75688-P info:eu-repo/grantAgreement/EC/H2020/720270 info:eu-repo/grantAgreement/EC/H2020/785907 |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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openAccess |
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application/pdf application/pdf |
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Elsevier |
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Elsevier |
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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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Rapid encoding of musical tones discovered in whole-brain connectivityBonetti, LeonardoBrattico, ElviraCarlomagno, FrancescoDonati, GiovanniCabral, JoseHaumann, Niels TrusbakDeco, GustavoVuust, PeterKringelbach, Morten L.Sound encodingBrain dynamicsMemoryMagnetoencephalography (MEG)Whole-brain functional connectivityInformation encoding has received a wide neuroscientific attention, but the underlying rapid spatiotemporal brain dynamics remain largely unknown. Here, we investigated the rapid brain mechanisms for encoding of sounds forming a complex temporal sequence. Specifically, we used magnetoencephalography (MEG) to record the brain activity of 68 participants while they listened to a highly structured musical prelude. Functional connectivity analyses performed using phase synchronisation and graph theoretical measures showed a large network of brain areas recruited during encoding of sounds, comprising primary and secondary auditory cortices, frontal operculum, insula, hippocampus and basal ganglia. Moreover, our results highlighted the rapid transition of brain activity from primary auditory cortex to higher order association areas including insula and superior temporal pole within a whole-brain network, occurring during the first 220 ms of the encoding process. Further, we discovered that individual differences along cognitive abilities and musicianship modulated the degree centrality of the brain areas implicated in the encoding process. Indeed, participants with higher musical expertise presented a stronger centrality of superior temporal gyrus and insula, while individuals with high working memory abilities showed a stronger centrality of frontal operculum. In conclusion, our study revealed the rapid unfolding of brain network dynamics responsible for the encoding of sounds and their relationship with individual differences, showing a complex picture which extends beyond the well-known involvement of auditory areas. Indeed, our results expanded our understanding of the general mechanisms underlying auditory pattern encoding in the human brainThe Center for Music in the Brain (MIB) is funded by the Danish National Research Foundation (project number DNRF117). LB is supported by Carlsberg Foundation (project number CF20-0239), Center for Music in the Brain and Linacre College of the University of Oxford. MLK is supported by the ERC Consolidator Grant: CAREGIVING (n. 615539), Center for Music in the Brain, and Center 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 n. 720270 (HBP SGA1) and n. 785907 (HBP SGA2), and by the Catalan AGAUR Programme 2017 SGR 1545. JC is supported by Portuguese Foundation for Science and Technology CEECIND/03325/2017, Portugal. 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 author Giulia Donati and the student assistants Riccardo Proietti and Giulio Carraturo.Elsevier202220222021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/53538http://doi.org/10.1016/j.neuroimage.2021.118735reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésNeuroImage. 2021;245:118735.info:eu-repo/grantAgreement/EC/H2020/720270info:eu-repo/grantAgreement/ES/1PE/PSI2016-75688-Pinfo:eu-repo/grantAgreement/EC/H2020/720270info:eu-repo/grantAgreement/EC/H2020/785907© 2021 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/535382026-05-29T05:05:01Z |
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