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

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Large-scale brain networks emerge from dynamic processing of musical timbre, key and rhythm. / Alluri, Vinoo; Toiviainen, Petri; Jaaskelainen, Iiro P.; Glerean, Enrico; Sams, Mikko; Brattico, Elvira.

In: NeuroImage, Vol. 59, No. 4, 15.02.2012, p. 3677-3689.

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

Harvard

Alluri, V, Toiviainen, P, Jaaskelainen, IP, Glerean, E, Sams, M & Brattico, E 2012, 'Large-scale brain networks emerge from dynamic processing of musical timbre, key and rhythm', NeuroImage, vol. 59, no. 4, pp. 3677-3689. https://doi.org/10.1016/j.neuroimage.2011.11.019

APA

Alluri, V., Toiviainen, P., Jaaskelainen, I. P., Glerean, E., Sams, M., & Brattico, E. (2012). Large-scale brain networks emerge from dynamic processing of musical timbre, key and rhythm. NeuroImage, 59(4), 3677-3689. https://doi.org/10.1016/j.neuroimage.2011.11.019

CBE

MLA

Vancouver

Alluri V, Toiviainen P, Jaaskelainen IP, Glerean E, Sams M, Brattico E. Large-scale brain networks emerge from dynamic processing of musical timbre, key and rhythm. NeuroImage. 2012 Feb 15;59(4):3677-3689. https://doi.org/10.1016/j.neuroimage.2011.11.019

Author

Alluri, Vinoo ; Toiviainen, Petri ; Jaaskelainen, Iiro P. ; Glerean, Enrico ; Sams, Mikko ; Brattico, Elvira. / Large-scale brain networks emerge from dynamic processing of musical timbre, key and rhythm. In: NeuroImage. 2012 ; Vol. 59, No. 4. pp. 3677-3689.

Bibtex

@article{868065e7d5564a8192edcb8b597ebae1,
title = "Large-scale brain networks emerge from dynamic processing of musical timbre, key and rhythm",
abstract = "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.",
keywords = "Music processing, fMRI, Computational feature extraction, Naturalistic stimulus, Temporal evolution, AUDITORY-CORTEX, BASAL GANGLIA, FMRI, SYNCHRONIZATION, PREMOTOR, EMOTION, REGIONS, METAANALYSIS, TOPOGRAPHY, PERCEPTION",
author = "Vinoo Alluri and Petri Toiviainen and Jaaskelainen, {Iiro P.} and Enrico Glerean and Mikko Sams and Elvira Brattico",
year = "2012",
month = feb,
day = "15",
doi = "10.1016/j.neuroimage.2011.11.019",
language = "English",
volume = "59",
pages = "3677--3689",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Elsevier BV",
number = "4",

}

RIS

TY - JOUR

T1 - Large-scale brain networks emerge from dynamic processing of musical timbre, key and rhythm

AU - Alluri, Vinoo

AU - Toiviainen, Petri

AU - Jaaskelainen, Iiro P.

AU - Glerean, Enrico

AU - Sams, Mikko

AU - Brattico, Elvira

PY - 2012/2/15

Y1 - 2012/2/15

N2 - 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.

AB - 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.

KW - Music processing

KW - fMRI

KW - Computational feature extraction

KW - Naturalistic stimulus

KW - Temporal evolution

KW - AUDITORY-CORTEX

KW - BASAL GANGLIA

KW - FMRI

KW - SYNCHRONIZATION

KW - PREMOTOR

KW - EMOTION

KW - REGIONS

KW - METAANALYSIS

KW - TOPOGRAPHY

KW - PERCEPTION

U2 - 10.1016/j.neuroimage.2011.11.019

DO - 10.1016/j.neuroimage.2011.11.019

M3 - Journal article

C2 - 22116038

VL - 59

SP - 3677

EP - 3689

JO - NeuroImage

JF - NeuroImage

SN - 1053-8119

IS - 4

ER -