The neural processing of hierarchical structure in music and speech at different timescales

Music, like speech, is a complex auditory signal that contains structures at multiple timescales, and as such a potentially powerful entry point into the question of how the brain integrates complex streams of information. Using an experimental design modeled after previous studies that used scrambl...

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Main Authors: Morwaread Mary Farbood, David eHeeger, Gary eMarcus, Uri eHasson, Yulia eLerner
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-05-01
Series:Frontiers in Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2015.00157/full
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author Morwaread Mary Farbood
David eHeeger
Gary eMarcus
Uri eHasson
Yulia eLerner
author_facet Morwaread Mary Farbood
David eHeeger
Gary eMarcus
Uri eHasson
Yulia eLerner
author_sort Morwaread Mary Farbood
collection DOAJ
description Music, like speech, is a complex auditory signal that contains structures at multiple timescales, and as such a potentially powerful entry point into the question of how the brain integrates complex streams of information. Using an experimental design modeled after previous studies that used scrambled versions of a spoken story (Lerner, Honey, Silbert, & Hasson, 2011) and a silent movie (Hasson, Yang, Vallines, Heeger, & Rubin, 2008), we investigate whether listeners perceive hierarchical structure in music beyond short (~6 sec) time windows and whether there is cortical overlap between music and language processing at multiple timescales. Experienced pianists were presented with an extended musical excerpt scrambled at multiple timescales––by measure, phrase, and section––while measuring brain activity with functional magnetic resonance imaging (fMRI). The reliability of evoked activity, as quantified by inter-subject correlation of the fMRI responses was measured. We found that response reliability depended systematically on musical structural coherence, revealing a topographically organized hierarchy of processing timescales. Early auditory areas (at the bottom of the hierarchy) responded reliably in all conditions. For brain areas at the top of the hierarchy, the original (unscrambled) excerpt evoked more reliable responses than any of the scrambled excerpts, indicating that these brain areas process long-timescale musical structures, on the order of minutes. The topography of processing timescales was analogous with that reported previously for speech, but the timescale gradients for music and speech overlapped with one another only partially, suggesting that temporally analogous structures––words/measures, sentences/musical phrases, paragraph/sections––are processed separately.
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spelling doaj.art-2e30d0365e3e463b8c50081a2a86301a2022-12-21T23:36:14ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2015-05-01910.3389/fnins.2015.00157132041The neural processing of hierarchical structure in music and speech at different timescalesMorwaread Mary Farbood0David eHeeger1Gary eMarcus2Uri eHasson3Yulia eLerner4New York UniversityNew York UniversityNew York UniversityPrinceton UniversityTel Aviv Sourasky Medical CenterMusic, like speech, is a complex auditory signal that contains structures at multiple timescales, and as such a potentially powerful entry point into the question of how the brain integrates complex streams of information. Using an experimental design modeled after previous studies that used scrambled versions of a spoken story (Lerner, Honey, Silbert, & Hasson, 2011) and a silent movie (Hasson, Yang, Vallines, Heeger, & Rubin, 2008), we investigate whether listeners perceive hierarchical structure in music beyond short (~6 sec) time windows and whether there is cortical overlap between music and language processing at multiple timescales. Experienced pianists were presented with an extended musical excerpt scrambled at multiple timescales––by measure, phrase, and section––while measuring brain activity with functional magnetic resonance imaging (fMRI). The reliability of evoked activity, as quantified by inter-subject correlation of the fMRI responses was measured. We found that response reliability depended systematically on musical structural coherence, revealing a topographically organized hierarchy of processing timescales. Early auditory areas (at the bottom of the hierarchy) responded reliably in all conditions. For brain areas at the top of the hierarchy, the original (unscrambled) excerpt evoked more reliable responses than any of the scrambled excerpts, indicating that these brain areas process long-timescale musical structures, on the order of minutes. The topography of processing timescales was analogous with that reported previously for speech, but the timescale gradients for music and speech overlapped with one another only partially, suggesting that temporally analogous structures––words/measures, sentences/musical phrases, paragraph/sections––are processed separately.http://journal.frontiersin.org/Journal/10.3389/fnins.2015.00157/fullMusicSpeechfMRIhierarchical structureprocessing timescales
spellingShingle Morwaread Mary Farbood
David eHeeger
Gary eMarcus
Uri eHasson
Yulia eLerner
The neural processing of hierarchical structure in music and speech at different timescales
Frontiers in Neuroscience
Music
Speech
fMRI
hierarchical structure
processing timescales
title The neural processing of hierarchical structure in music and speech at different timescales
title_full The neural processing of hierarchical structure in music and speech at different timescales
title_fullStr The neural processing of hierarchical structure in music and speech at different timescales
title_full_unstemmed The neural processing of hierarchical structure in music and speech at different timescales
title_short The neural processing of hierarchical structure in music and speech at different timescales
title_sort neural processing of hierarchical structure in music and speech at different timescales
topic Music
Speech
fMRI
hierarchical structure
processing timescales
url http://journal.frontiersin.org/Journal/10.3389/fnins.2015.00157/full
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