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Music in noise recognition: An EEG study of listening effort in cochlear implant users and normal hearing controls

Articolo
Data di Pubblicazione:
2023
Abstract:
Despite the plethora of studies investigating listening effort and the amount of research concerning music perception by cochlear implant (CI) users, the investigation of the influence of background noise on music processing has never been performed. Given the typical speech in noise recognition task for the listening effort assessment, the aim of the present study was to investigate the listening effort during an emotional categorization task on musical pieces with different levels of background noise. The listening effort was investigated, in addition to participants' ratings and performances, using EEG features known to be involved in such phenomenon, that is alpha activity in parietal areas and in the left inferior frontal gyrus (IFG), that includes the Broca's area. Results showed that CI users performed worse than normal hearing (NH) controls in the recognition of the emotional content of the stimuli. Furthermore, when considering the alpha activity corresponding to the listening to signal to noise ratio (SNR) 5 and SNR10 conditions subtracted of the activity while listening to the Quiet condition-ideally removing the emotional content of the music and isolating the difficulty level due to the SNRs- CI users reported higher levels of activity in the parietal alpha and in the homologous of the left IFG in the right hemisphere (F8 EEG channel), in comparison to NH. Finally, a novel suggestion of a particular sensitivity of F8 for SNR-related listening effort in music was provided.
Tipologia CRIS:
03A-Articolo su Rivista
Elenco autori:
Cartocci, Giulia; Inguscio, Bianca Maria Serena; Giorgi, Andrea; Vozzi, Alessia; Leone, Carlo Antonio; Grassia, Rosa; Di Nardo, Walter; Di Cesare, Tiziana; Fetoni, Anna Rita; Freni, Francesco; Ciodaro, Francesco; Galletti, Francesco; Albera, Roberto; Canale, Andrea; Piccioni, Lucia Oriella; Babiloni, Fabio
Autori di Ateneo:
CANALE Andrea
Link alla scheda completa:
https://iris.unito.it/handle/2318/1946063
Link al Full Text:
https://iris.unito.it/retrieve/handle/2318/1946063/1215135/pone.0288461.pdf
Pubblicato in:
PLOS ONE
Journal
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