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What can we learn about beat perception by comparing brain signals and stimulus envelopes?

Entrainment of neural oscillations on multiple time scales is important for the perception of speech. Musical rhythms, and in particular the perception of a regular beat in musical rhythms, is also likely to rely on entrainment of neural oscillations. One recently proposed approach to studying beat...

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Detalles Bibliográficos
Autores principales: Henry, Molly J., Herrmann, Björn, Grahn, Jessica A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5321456/
https://www.ncbi.nlm.nih.gov/pubmed/28225796
http://dx.doi.org/10.1371/journal.pone.0172454
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author Henry, Molly J.
Herrmann, Björn
Grahn, Jessica A.
author_facet Henry, Molly J.
Herrmann, Björn
Grahn, Jessica A.
author_sort Henry, Molly J.
collection PubMed
description Entrainment of neural oscillations on multiple time scales is important for the perception of speech. Musical rhythms, and in particular the perception of a regular beat in musical rhythms, is also likely to rely on entrainment of neural oscillations. One recently proposed approach to studying beat perception in the context of neural entrainment and resonance (the “frequency-tagging” approach) has received an enthusiastic response from the scientific community. A specific version of the approach involves comparing frequency-domain representations of acoustic rhythm stimuli to the frequency-domain representations of neural responses to those rhythms (measured by electroencephalography, EEG). The relative amplitudes at specific EEG frequencies are compared to the relative amplitudes at the same stimulus frequencies, and enhancements at beat-related frequencies in the EEG signal are interpreted as reflecting an internal representation of the beat. Here, we show that frequency-domain representations of rhythms are sensitive to the acoustic features of the tones making up the rhythms (tone duration, onset/offset ramp duration); in fact, relative amplitudes at beat-related frequencies can be completely reversed by manipulating tone acoustics. Crucially, we show that changes to these acoustic tone features, and in turn changes to the frequency-domain representations of rhythms, do not affect beat perception. Instead, beat perception depends on the pattern of onsets (i.e., whether a rhythm has a simple or complex metrical structure). Moreover, we show that beat perception can differ for rhythms that have numerically identical frequency-domain representations. Thus, frequency-domain representations of rhythms are dissociable from beat perception. For this reason, we suggest caution in interpreting direct comparisons of rhythms and brain signals in the frequency domain. Instead, we suggest that combining EEG measurements of neural signals with creative behavioral paradigms is of more benefit to our understanding of beat perception.
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spelling pubmed-53214562017-03-09 What can we learn about beat perception by comparing brain signals and stimulus envelopes? Henry, Molly J. Herrmann, Björn Grahn, Jessica A. PLoS One Research Article Entrainment of neural oscillations on multiple time scales is important for the perception of speech. Musical rhythms, and in particular the perception of a regular beat in musical rhythms, is also likely to rely on entrainment of neural oscillations. One recently proposed approach to studying beat perception in the context of neural entrainment and resonance (the “frequency-tagging” approach) has received an enthusiastic response from the scientific community. A specific version of the approach involves comparing frequency-domain representations of acoustic rhythm stimuli to the frequency-domain representations of neural responses to those rhythms (measured by electroencephalography, EEG). The relative amplitudes at specific EEG frequencies are compared to the relative amplitudes at the same stimulus frequencies, and enhancements at beat-related frequencies in the EEG signal are interpreted as reflecting an internal representation of the beat. Here, we show that frequency-domain representations of rhythms are sensitive to the acoustic features of the tones making up the rhythms (tone duration, onset/offset ramp duration); in fact, relative amplitudes at beat-related frequencies can be completely reversed by manipulating tone acoustics. Crucially, we show that changes to these acoustic tone features, and in turn changes to the frequency-domain representations of rhythms, do not affect beat perception. Instead, beat perception depends on the pattern of onsets (i.e., whether a rhythm has a simple or complex metrical structure). Moreover, we show that beat perception can differ for rhythms that have numerically identical frequency-domain representations. Thus, frequency-domain representations of rhythms are dissociable from beat perception. For this reason, we suggest caution in interpreting direct comparisons of rhythms and brain signals in the frequency domain. Instead, we suggest that combining EEG measurements of neural signals with creative behavioral paradigms is of more benefit to our understanding of beat perception. Public Library of Science 2017-02-22 /pmc/articles/PMC5321456/ /pubmed/28225796 http://dx.doi.org/10.1371/journal.pone.0172454 Text en © 2017 Henry et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Henry, Molly J.
Herrmann, Björn
Grahn, Jessica A.
What can we learn about beat perception by comparing brain signals and stimulus envelopes?
title What can we learn about beat perception by comparing brain signals and stimulus envelopes?
title_full What can we learn about beat perception by comparing brain signals and stimulus envelopes?
title_fullStr What can we learn about beat perception by comparing brain signals and stimulus envelopes?
title_full_unstemmed What can we learn about beat perception by comparing brain signals and stimulus envelopes?
title_short What can we learn about beat perception by comparing brain signals and stimulus envelopes?
title_sort what can we learn about beat perception by comparing brain signals and stimulus envelopes?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5321456/
https://www.ncbi.nlm.nih.gov/pubmed/28225796
http://dx.doi.org/10.1371/journal.pone.0172454
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