Large-scale brain networks emerge from dynamic processing of musical timbre, key and rhythm

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

  • Vinoo Alluri, Univ Jyvaskyla, University of Jyvaskyla, Dept Mus, Finnish Ctr Excellence Interdisciplinary Mus Res
  • ,
  • Petri Toiviainen
  • ,
  • Iiro P. Jaaskelainen, Aalto Univ, Aalto University, Sch Sci, Adv Magnet Imaging Ctr, Denmark
  • Enrico Glerean, Aalto Univ, Aalto University, Sch Sci, Adv Magnet Imaging Ctr
  • ,
  • Mikko Sams, Aalto Univ, Aalto University, Sch Sci, Adv Magnet Imaging Ctr, Denmark
  • Elvira Brattico

We investigated the neural underpinnings of timbral, tonal, and rhythmic features of a naturalistic musical stimulus. Participants were scanned with functional Magnetic Resonance Imaging (fMRI) while listening to a stimulus with a rich musical structure, a modern tango. We correlated temporal evolutions of timbral, tonal, and rhythmic features of the stimulus, extracted using acoustic feature extraction procedures, with the fMRI time series. Results corroborate those obtained with controlled stimuli in previous studies and highlight additional areas recruited during musical feature processing. While timbral feature processing was associated with activations in cognitive areas of the cerebellum, and sensory and default mode network cerebrocortical areas, musical pulse and tonality processing recruited cortical and subcortical cognitive, motor and emotion-related circuits. In sum, by combining neuroimaging, acoustic feature extraction and behavioral methods, we revealed the large-scale cognitive, motor and limbic brain circuitry dedicated to acoustic feature processing during listening to a naturalistic stimulus. In addition to these novel findings, our study has practical relevance as it provides a powerful means to localize neural processing of individual acoustical features, be it those of music, speech, or soundscapes, in ecological settings. (C) 2011 Elsevier Inc. All rights reserved.

Original languageEnglish
JournalNeuroImage
Volume59
Issue4
Pages (from-to)3677-3689
Number of pages13
ISSN1053-8119
DOIs
Publication statusPublished - 15 Feb 2012

    Research areas

  • Music processing, fMRI, Computational feature extraction, Naturalistic stimulus, Temporal evolution, AUDITORY-CORTEX, BASAL GANGLIA, FMRI, SYNCHRONIZATION, PREMOTOR, EMOTION, REGIONS, METAANALYSIS, TOPOGRAPHY, PERCEPTION

See relations at Aarhus University Citationformats

ID: 90547085