The reliability of continuous brain responses during naturalistic listening to music

Research output: Contribution to journalArticle

Standard

The reliability of continuous brain responses during naturalistic listening to music. / Burunat, Iballa; Toiviainen, Petri; Alluri, Vinoo; Bogert, Brigitte; Ristaniemi, Tapani; Sams, Mikko; Brattico, Elvira.

In: NeuroImage, Vol. 124, 01.01.2016, p. 224-231.

Research output: Contribution to journalArticle

Harvard

Burunat, I, Toiviainen, P, Alluri, V, Bogert, B, Ristaniemi, T, Sams, M & Brattico, E 2016, 'The reliability of continuous brain responses during naturalistic listening to music', NeuroImage, vol. 124, pp. 224-231. https://doi.org/10.1016/j.neuroimage.2015.09.005

APA

Burunat, I., Toiviainen, P., Alluri, V., Bogert, B., Ristaniemi, T., Sams, M., & Brattico, E. (2016). The reliability of continuous brain responses during naturalistic listening to music. NeuroImage, 124, 224-231. https://doi.org/10.1016/j.neuroimage.2015.09.005

Vancouver

Author

Burunat, Iballa ; Toiviainen, Petri ; Alluri, Vinoo ; Bogert, Brigitte ; Ristaniemi, Tapani ; Sams, Mikko ; Brattico, Elvira. / The reliability of continuous brain responses during naturalistic listening to music. In: NeuroImage. 2016 ; Vol. 124. pp. 224-231.

Bibtex - Download

@article{7067bc2803554beeb89c4fcd7e81f275,
title = "The reliability of continuous brain responses during naturalistic listening to music",
abstract = "Low-level (timbral) and high-level (tonal and rhythmical) musical features during continuous listening to music, studied by functional magnetic resonance imaging (fMRI), have been shown to elicit large-scale responses in cognitive, motor, and limbic brain networks. Using a similar methodological approach and a similar group of participants, we aimed to study the replicability of previous findings. Participants' fMRI responses during continuous listening of a tango Nuevo piece were correlated voxelwise against the time series of a set of perceptually validated musical features computationally extracted from the music. The replicability of previous results and the present study was assessed by two approaches: (a) correlating the respective activation maps, and (b) computing the overlap of active voxels between datasets at variable levels of ranked significance. Activity elicited by timbral features was better replicable than activity elicited by tonal and rhythmical ones. These results indicate more reliable processing mechanisms for low-level musical features as compared to more high-level features. The processing of such high-level features is probably more sensitive to the state and traits of the listeners, as well as of their background in music. (C) 2015 Elsevier Inc. All rights reserved.",
keywords = "Functional magnetic resonance imaging (fMRI), Musical features, Naturalistic paradigm, Interclass correlation, Dice coefficient, Reliability, TEST-RETEST RELIABILITY, AUDITORY-CORTEX, WORKING-MEMORY, FMRI, VARIABILITY, ATTENTION, TIMBRE, NOISE, LATERALIZATION, NEUROSCIENCE",
author = "Iballa Burunat and Petri Toiviainen and Vinoo Alluri and Brigitte Bogert and Tapani Ristaniemi and Mikko Sams and Elvira Brattico",
year = "2016",
month = "1",
day = "1",
doi = "10.1016/j.neuroimage.2015.09.005",
language = "English",
volume = "124",
pages = "224--231",
journal = "NeuroImage",
issn = "1053-8119",

}

RIS - Download

TY - JOUR

T1 - The reliability of continuous brain responses during naturalistic listening to music

AU - Burunat, Iballa

AU - Toiviainen, Petri

AU - Alluri, Vinoo

AU - Bogert, Brigitte

AU - Ristaniemi, Tapani

AU - Sams, Mikko

AU - Brattico, Elvira

PY - 2016/1/1

Y1 - 2016/1/1

N2 - Low-level (timbral) and high-level (tonal and rhythmical) musical features during continuous listening to music, studied by functional magnetic resonance imaging (fMRI), have been shown to elicit large-scale responses in cognitive, motor, and limbic brain networks. Using a similar methodological approach and a similar group of participants, we aimed to study the replicability of previous findings. Participants' fMRI responses during continuous listening of a tango Nuevo piece were correlated voxelwise against the time series of a set of perceptually validated musical features computationally extracted from the music. The replicability of previous results and the present study was assessed by two approaches: (a) correlating the respective activation maps, and (b) computing the overlap of active voxels between datasets at variable levels of ranked significance. Activity elicited by timbral features was better replicable than activity elicited by tonal and rhythmical ones. These results indicate more reliable processing mechanisms for low-level musical features as compared to more high-level features. The processing of such high-level features is probably more sensitive to the state and traits of the listeners, as well as of their background in music. (C) 2015 Elsevier Inc. All rights reserved.

AB - Low-level (timbral) and high-level (tonal and rhythmical) musical features during continuous listening to music, studied by functional magnetic resonance imaging (fMRI), have been shown to elicit large-scale responses in cognitive, motor, and limbic brain networks. Using a similar methodological approach and a similar group of participants, we aimed to study the replicability of previous findings. Participants' fMRI responses during continuous listening of a tango Nuevo piece were correlated voxelwise against the time series of a set of perceptually validated musical features computationally extracted from the music. The replicability of previous results and the present study was assessed by two approaches: (a) correlating the respective activation maps, and (b) computing the overlap of active voxels between datasets at variable levels of ranked significance. Activity elicited by timbral features was better replicable than activity elicited by tonal and rhythmical ones. These results indicate more reliable processing mechanisms for low-level musical features as compared to more high-level features. The processing of such high-level features is probably more sensitive to the state and traits of the listeners, as well as of their background in music. (C) 2015 Elsevier Inc. All rights reserved.

KW - Functional magnetic resonance imaging (fMRI)

KW - Musical features

KW - Naturalistic paradigm

KW - Interclass correlation

KW - Dice coefficient

KW - Reliability

KW - TEST-RETEST RELIABILITY

KW - AUDITORY-CORTEX

KW - WORKING-MEMORY

KW - FMRI

KW - VARIABILITY

KW - ATTENTION

KW - TIMBRE

KW - NOISE

KW - LATERALIZATION

KW - NEUROSCIENCE

UR - http://dx.doi.org/10.1016/j.neuroimage.2015.09.005

U2 - 10.1016/j.neuroimage.2015.09.005

DO - 10.1016/j.neuroimage.2015.09.005

M3 - Article

VL - 124

SP - 224

EP - 231

JO - NeuroImage

JF - NeuroImage

SN - 1053-8119

ER -

ID: 1500588