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Vocal melody and musical background are simultaneously processed by the brain for musical predictions.
Chabin, Thibault; Pazart, Lionel; Gabriel, Damien.
Afiliación
  • Chabin T; Centre Hospitalier Universitaire de Besançon, Centre d'Investigation Clinique INSERM CIC 1431, Besançon, France.
  • Pazart L; Plateforme de Neuroimagerie Fonctionnelle et Neurostimulation Neuraxess, Centre Hospitalier Universitaire de Besançon, Université de Bourgogne Franche-Comté, Bourgogne Franche-Comté, France.
  • Gabriel D; Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive, Université Bourgogne Franche-Comté, Besançon, France.
Ann N Y Acad Sci ; 1512(1): 126-140, 2022 06.
Article en En | MEDLINE | ID: mdl-35229293
ABSTRACT
Musical pleasure is related to the capacity to predict and anticipate the music. By recording early cerebral responses of 16 participants with electroencephalography during periods of silence inserted in known and unknown songs, we aimed to measure the contribution of different musical attributes to musical predictions. We investigated the mismatch between past encoded musical features and the current sensory inputs when listening to lyrics associated with vocal melody, only background instrumental material, or both attributes grouped together. When participants were listening to chords and lyrics for known songs, the brain responses related to musical violation produced event-related potential responses around 150-200 ms that were of a larger amplitude than for chords or lyrics only. Microstate analysis also revealed that for chords and lyrics, the global field power had an increased stability and a longer duration. The source localization identified that the right superior temporal and frontal gyri and the inferior and medial frontal gyri were activated for a longer time for chords and lyrics, likely caused by the increased complexity of the stimuli. We conclude that grouped together, a broader integration and retrieval of several musical attributes at the same time recruit larger neuronal networks that lead to more accurate predictions.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Música Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Ann N Y Acad Sci Año: 2022 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Música Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Ann N Y Acad Sci Año: 2022 Tipo del documento: Article País de afiliación: Francia