Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/114562
DC Field | Value | Language |
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dc.contributor.author | Guedes, Ana Gabriela | - |
dc.contributor.author | Sayal, Alexandre | - |
dc.contributor.author | Panda, Renato | - |
dc.contributor.author | Paiva, Rui Pedro | - |
dc.contributor.author | Direito, Bruno | - |
dc.date.accessioned | 2024-04-01T10:41:36Z | - |
dc.date.available | 2024-04-01T10:41:36Z | - |
dc.date.issued | 2023-10 | - |
dc.identifier.uri | https://hdl.handle.net/10316/114562 | - |
dc.description.abstract | Music can convey fundamental emotions like happiness and sadness and more intricate feelings such as tenderness or grief. Understanding the neural mechanisms underlying music-induced emotions holds promise for innovative, personalised neurorehabilitation therapies using music. Our study investigates the link between perceived emotions in music and their corresponding neural responses, measured using fMRI. Fifteen participants underwent fMRI scans while listening to 96 musical excerpts categorised into quadrants based on Russell’s valence-arousal model. Neural correlates of valence and arousal were identified in neocortical regions, especially within music-specific sub-regions of the auditory cortex. Through multivariate pattern analysis, distinct emotional quadrants were decoded with an average accuracy of 62% ±15%, surpassing the chance level of 25%. This capacity to discern music’s emotional qualities has implications for psychological interventions and mood modulation, enhancing music-based treatments and neurofeedback learning. | pt |
dc.description.sponsorship | This work has been supported by Fundação para a Ciência e Tecnologia, grant EXPL/PSI-GER/0948/2021. Renato Panda was supported by Ci2 - FCT UIDP/05567/2020. | pt |
dc.language.iso | eng | pt |
dc.relation | info:eu-repo/grantAgreement/FCT/3599-PPCDT/EXPL/PSI-GER/0948/2021/PT | pt |
dc.rights | openAccess | pt |
dc.title | A Pattern Recognition Framework to Investigate the Neural Correlates of Music | pt |
dc.type | conferenceObject | pt |
degois.publication.firstPage | 26 | pt |
degois.publication.lastPage | 27 | pt |
degois.publication.location | Coimbra, Portugal | pt |
degois.publication.title | 29th Portuguese Conference on Pattern Recognition (RECPAD 2023) | pt |
dc.peerreviewed | yes | pt |
dc.date.embargo | 2023-10-01 | * |
uc.date.periodoEmbargo | 0 | pt |
item.fulltext | Com Texto completo | - |
item.grantfulltext | open | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.openairetype | conferenceObject | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.researchunit | ICNAS - Institute for Nuclear Sciences Applied to Health | - |
crisitem.author.researchunit | CISUC - Centre for Informatics and Systems of the University of Coimbra | - |
crisitem.author.researchunit | CISUC - Centre for Informatics and Systems of the University of Coimbra | - |
crisitem.author.parentresearchunit | Faculty of Sciences and Technology | - |
crisitem.author.parentresearchunit | Faculty of Sciences and Technology | - |
crisitem.author.orcid | 0000-0002-0476-9533 | - |
crisitem.author.orcid | 0000-0003-2539-5590 | - |
crisitem.author.orcid | 0000-0003-3215-3960 | - |
crisitem.author.orcid | 0000-0002-3259-8815 | - |
Appears in Collections: | I&D CISUC - Comunicações a Conferências Nacionais |
Files in This Item:
File | Description | Size | Format | |
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Guedes et al. - 2023 - A Pattern Recognition Framework to Investigate the Neural Correlates of Music.pdf | 2.19 MB | Adobe PDF | View/Open |
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