Auditory but not audiovisual cues lead to higher neural sensitivity to the statistical regularities of an unfamiliar musical style

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DOI

  • Ioanna Zioga, Queen Mary University of London
  • ,
  • Peter M.C. Harrison, Queen Mary University of London
  • ,
  • Marcus T. Pearce
  • Joydeep Bhattacharya, Goldsmiths, University of London
  • ,
  • Caroline Di Bernardi Luft, Queen Mary University of London

It is still a matter of debate whether visual aids improve learning of music. In a multisession study, we investigated the neural signatures of novel music sequence learning with or without aids (auditory-only: AO, audiovisual: AV). During three training sessions on three separate days, participants (nonmu-sicians) reproduced (note by note on a keyboard) melodic sequences generated by an artificial musical grammar. The AV group (n = 20) had each note color-coded on screen, whereas the AO group (n = 20) had no color indication. We evaluated learning of the statistical regularities of the novel music grammar before and after training by presenting melodies ending on correct or incorrect notes and by asking participants to judge the correctness and surprisal of the final note, while EEG was recorded. We found that participants successfully learned the new grammar. Although the AV group, as compared to the AO group, reproduced longer sequences during training, there was no significant difference in learning between groups. At the neural level, after training, the AO group showed a larger N100 response to low-probability compared with high-probability notes, suggesting an increased neural sensitivity to statistical properties of the grammar; this effect was not observed in the AV group. Our findings indicate that visual aids might improve sequence reproduction while not necessarily promoting better learning, indicating a potential dissociation between sequence reproduction and learning. We suggest that the difficulty induced by auditory-only input during music training might enhance cognitive engagement, thereby improving neural sensitivity to the underlying statistical properties of the learned material.

Original languageEnglish
JournalJournal of Cognitive Neuroscience
Volume32
Issue12
Pages (from-to)2241-2259
Number of pages19
ISSN0898-929X
DOIs
Publication statusPublished - Dec 2020

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