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Frontoparietal network topology as a neural marker of musical perceptual abilities

Author

Listed:
  • M. Lumaca

    (Aarhus University & The Royal Academy of Music Aarhus/Aalborg)

  • P. E. Keller

    (Aarhus University & The Royal Academy of Music Aarhus/Aalborg
    Western Sydney University)

  • G. Baggio

    (Norwegian University of Science and Technology)

  • V. Pando-Naude

    (Aarhus University & The Royal Academy of Music Aarhus/Aalborg)

  • C. J. Bajada

    (University of Malta / University of Malta Magnetic Resonance Imaging Research Platform)

  • M. A. Martinez

    (Aarhus University)

  • J. H. Hansen

    (Aarhus University)

  • A. Ravignani

    (Aarhus University & The Royal Academy of Music Aarhus/Aalborg
    Sapienza University of Rome)

  • N. Joe

    (Aarhus University & The Royal Academy of Music Aarhus/Aalborg)

  • P. Vuust

    (Aarhus University & The Royal Academy of Music Aarhus/Aalborg)

  • K. Vulić

    (University of Belgrade)

  • K. Sandberg

    (Aarhus University)

Abstract

Why are some individuals more musical than others? Neither cognitive testing nor classical localizationist neuroscience alone can provide a complete answer. Here, we test how the interplay of brain network organization and cognitive function delivers graded perceptual abilities in a distinctively human capacity. We analyze multimodal magnetic resonance imaging, cognitive, and behavioral data from 200+ participants, focusing on a canonical working memory network encompassing prefrontal and posterior parietal regions. Using graph theory, we examine structural and functional frontoparietal network organization in relation to assessments of musical aptitude and experience. Results reveal a positive correlation between perceptual abilities and the integration efficiency of key frontoparietal regions. The linkage between functional networks and musical abilities is mediated by working memory processes, whereas structural networks influence these abilities through sensory integration. Our work lays the foundation for future investigations into the neurobiological roots of individual differences in musicality.

Suggested Citation

  • M. Lumaca & P. E. Keller & G. Baggio & V. Pando-Naude & C. J. Bajada & M. A. Martinez & J. H. Hansen & A. Ravignani & N. Joe & P. Vuust & K. Vulić & K. Sandberg, 2024. "Frontoparietal network topology as a neural marker of musical perceptual abilities," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-52479-z
    DOI: 10.1038/s41467-024-52479-z
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    References listed on IDEAS

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    1. Jianxiao Wu & Jingwei Li & Simon B. Eickhoff & Dustin Scheinost & Sarah Genon, 2023. "The challenges and prospects of brain-based prediction of behaviour," Nature Human Behaviour, Nature, vol. 7(8), pages 1255-1264, August.
    2. Arno Klein & Satrajit S Ghosh & Forrest S Bao & Joachim Giard & Yrjö Häme & Eliezer Stavsky & Noah Lee & Brian Rossa & Martin Reuter & Elias Chaibub Neto & Anisha Keshavan, 2017. "Mindboggling morphometry of human brains," PLOS Computational Biology, Public Library of Science, vol. 13(2), pages 1-40, February.
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