Aarhus University Seal / Aarhus Universitets segl

Event-related brain responses while listening to entire pieces of music

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

Standard

Event-related brain responses while listening to entire pieces of music. / Poikonen, H; Alluri, V; Brattico, E; Lartillot, O; Tervaniemi, M; Huotilainen, M.

In: Neuroscience, Vol. 312, 15.01.2016, p. 58-73.

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

Harvard

Poikonen, H, Alluri, V, Brattico, E, Lartillot, O, Tervaniemi, M & Huotilainen, M 2016, 'Event-related brain responses while listening to entire pieces of music', Neuroscience, vol. 312, pp. 58-73. https://doi.org/10.1016/j.neuroscience.2015.10.061

APA

Poikonen, H., Alluri, V., Brattico, E., Lartillot, O., Tervaniemi, M., & Huotilainen, M. (2016). Event-related brain responses while listening to entire pieces of music. Neuroscience, 312, 58-73. https://doi.org/10.1016/j.neuroscience.2015.10.061

CBE

Poikonen H, Alluri V, Brattico E, Lartillot O, Tervaniemi M, Huotilainen M. 2016. Event-related brain responses while listening to entire pieces of music. Neuroscience. 312:58-73. https://doi.org/10.1016/j.neuroscience.2015.10.061

MLA

Vancouver

Poikonen H, Alluri V, Brattico E, Lartillot O, Tervaniemi M, Huotilainen M. Event-related brain responses while listening to entire pieces of music. Neuroscience. 2016 Jan 15;312:58-73. https://doi.org/10.1016/j.neuroscience.2015.10.061

Author

Poikonen, H ; Alluri, V ; Brattico, E ; Lartillot, O ; Tervaniemi, M ; Huotilainen, M. / Event-related brain responses while listening to entire pieces of music. In: Neuroscience. 2016 ; Vol. 312. pp. 58-73.

Bibtex

@article{27c79b10fc0a4eabaf1bc3d3f098f88d,
title = "Event-related brain responses while listening to entire pieces of music",
abstract = "Brain responses to discrete short sounds have been studied intensively using the event-related potential (ERP) method, in which the electroencephalogram (EEG) signal is divided into epochs time-locked to stimuli of interest. Here we introduce and apply a novel technique which enables one to isolate ERPs in human elicited by continuous music. The ERPs were recorded during listening to a Tango Nuevo piece, a deep techno track and an acoustic lullaby. Acoustic features related to timbre, harmony, and dynamics of the audio signal were computationally extracted from the musical pieces. Negative deflation occurring around 100 milliseconds after the stimulus onset (N100) and positive deflation occurring around 200 milliseconds after the stimulus onset (P200) ERP responses to peak changes in the acoustic features were distinguishable and were often largest for Tango Nuevo. In addition to large changes in these musical features, long phases of low values that precede a rapid increase - and that we will call Preceding Low-Feature Phases - followed by a rapid increase enhanced the amplitudes of N100 and P200 responses. These ERP responses resembled those to simpler sounds, making it possible to utilize the tradition of ERP research with naturalistic paradigms.",
author = "H Poikonen and V Alluri and E Brattico and O Lartillot and M Tervaniemi and M Huotilainen",
note = "Crown Copyright {\textcopyright} 2015. Published by Elsevier Ltd. All rights reserved.",
year = "2016",
month = jan,
day = "15",
doi = "10.1016/j.neuroscience.2015.10.061",
language = "English",
volume = "312",
pages = "58--73",
journal = "Neuroscience",
issn = "0306-4522",
publisher = "Pergamon Press",

}

RIS

TY - JOUR

T1 - Event-related brain responses while listening to entire pieces of music

AU - Poikonen, H

AU - Alluri, V

AU - Brattico, E

AU - Lartillot, O

AU - Tervaniemi, M

AU - Huotilainen, M

N1 - Crown Copyright © 2015. Published by Elsevier Ltd. All rights reserved.

PY - 2016/1/15

Y1 - 2016/1/15

N2 - Brain responses to discrete short sounds have been studied intensively using the event-related potential (ERP) method, in which the electroencephalogram (EEG) signal is divided into epochs time-locked to stimuli of interest. Here we introduce and apply a novel technique which enables one to isolate ERPs in human elicited by continuous music. The ERPs were recorded during listening to a Tango Nuevo piece, a deep techno track and an acoustic lullaby. Acoustic features related to timbre, harmony, and dynamics of the audio signal were computationally extracted from the musical pieces. Negative deflation occurring around 100 milliseconds after the stimulus onset (N100) and positive deflation occurring around 200 milliseconds after the stimulus onset (P200) ERP responses to peak changes in the acoustic features were distinguishable and were often largest for Tango Nuevo. In addition to large changes in these musical features, long phases of low values that precede a rapid increase - and that we will call Preceding Low-Feature Phases - followed by a rapid increase enhanced the amplitudes of N100 and P200 responses. These ERP responses resembled those to simpler sounds, making it possible to utilize the tradition of ERP research with naturalistic paradigms.

AB - Brain responses to discrete short sounds have been studied intensively using the event-related potential (ERP) method, in which the electroencephalogram (EEG) signal is divided into epochs time-locked to stimuli of interest. Here we introduce and apply a novel technique which enables one to isolate ERPs in human elicited by continuous music. The ERPs were recorded during listening to a Tango Nuevo piece, a deep techno track and an acoustic lullaby. Acoustic features related to timbre, harmony, and dynamics of the audio signal were computationally extracted from the musical pieces. Negative deflation occurring around 100 milliseconds after the stimulus onset (N100) and positive deflation occurring around 200 milliseconds after the stimulus onset (P200) ERP responses to peak changes in the acoustic features were distinguishable and were often largest for Tango Nuevo. In addition to large changes in these musical features, long phases of low values that precede a rapid increase - and that we will call Preceding Low-Feature Phases - followed by a rapid increase enhanced the amplitudes of N100 and P200 responses. These ERP responses resembled those to simpler sounds, making it possible to utilize the tradition of ERP research with naturalistic paradigms.

U2 - 10.1016/j.neuroscience.2015.10.061

DO - 10.1016/j.neuroscience.2015.10.061

M3 - Journal article

C2 - 26550950

VL - 312

SP - 58

EP - 73

JO - Neuroscience

JF - Neuroscience

SN - 0306-4522

ER -