Cargando…
Coupling of Action-Perception Brain Networks during Musical Pulse Processing: Evidence from Region-of-Interest-Based Independent Component Analysis
Our sense of rhythm relies on orchestrated activity of several cerebral and cerebellar structures. Although functional connectivity studies have advanced our understanding of rhythm perception, this phenomenon has not been sufficiently studied as a function of musical training and beyond the General...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5422442/ https://www.ncbi.nlm.nih.gov/pubmed/28536514 http://dx.doi.org/10.3389/fnhum.2017.00230 |
_version_ | 1783234777171623936 |
---|---|
author | Burunat, Iballa Tsatsishvili, Valeri Brattico, Elvira Toiviainen, Petri |
author_facet | Burunat, Iballa Tsatsishvili, Valeri Brattico, Elvira Toiviainen, Petri |
author_sort | Burunat, Iballa |
collection | PubMed |
description | Our sense of rhythm relies on orchestrated activity of several cerebral and cerebellar structures. Although functional connectivity studies have advanced our understanding of rhythm perception, this phenomenon has not been sufficiently studied as a function of musical training and beyond the General Linear Model (GLM) approach. Here, we studied pulse clarity processing during naturalistic music listening using a data-driven approach (independent component analysis; ICA). Participants' (18 musicians and 18 controls) functional magnetic resonance imaging (fMRI) responses were acquired while listening to music. A targeted region of interest (ROI) related to pulse clarity processing was defined, comprising auditory, somatomotor, basal ganglia, and cerebellar areas. The ICA decomposition was performed under different model orders, i.e., under a varying number of assumed independent sources, to avoid relying on prior model order assumptions. The components best predicted by a measure of the pulse clarity of the music, extracted computationally from the musical stimulus, were identified. Their corresponding spatial maps uncovered a network of auditory (perception) and motor (action) areas in an excitatory-inhibitory relationship at lower model orders, while mainly constrained to the auditory areas at higher model orders. Results revealed (a) a strengthened functional integration of action-perception networks associated with pulse clarity perception hidden from GLM analyses, and (b) group differences between musicians and non-musicians in pulse clarity processing, suggesting lifelong musical training as an important factor that may influence beat processing. |
format | Online Article Text |
id | pubmed-5422442 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-54224422017-05-23 Coupling of Action-Perception Brain Networks during Musical Pulse Processing: Evidence from Region-of-Interest-Based Independent Component Analysis Burunat, Iballa Tsatsishvili, Valeri Brattico, Elvira Toiviainen, Petri Front Hum Neurosci Neuroscience Our sense of rhythm relies on orchestrated activity of several cerebral and cerebellar structures. Although functional connectivity studies have advanced our understanding of rhythm perception, this phenomenon has not been sufficiently studied as a function of musical training and beyond the General Linear Model (GLM) approach. Here, we studied pulse clarity processing during naturalistic music listening using a data-driven approach (independent component analysis; ICA). Participants' (18 musicians and 18 controls) functional magnetic resonance imaging (fMRI) responses were acquired while listening to music. A targeted region of interest (ROI) related to pulse clarity processing was defined, comprising auditory, somatomotor, basal ganglia, and cerebellar areas. The ICA decomposition was performed under different model orders, i.e., under a varying number of assumed independent sources, to avoid relying on prior model order assumptions. The components best predicted by a measure of the pulse clarity of the music, extracted computationally from the musical stimulus, were identified. Their corresponding spatial maps uncovered a network of auditory (perception) and motor (action) areas in an excitatory-inhibitory relationship at lower model orders, while mainly constrained to the auditory areas at higher model orders. Results revealed (a) a strengthened functional integration of action-perception networks associated with pulse clarity perception hidden from GLM analyses, and (b) group differences between musicians and non-musicians in pulse clarity processing, suggesting lifelong musical training as an important factor that may influence beat processing. Frontiers Media S.A. 2017-05-09 /pmc/articles/PMC5422442/ /pubmed/28536514 http://dx.doi.org/10.3389/fnhum.2017.00230 Text en Copyright © 2017 Burunat, Tsatsishvili, Brattico and Toiviainen. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Burunat, Iballa Tsatsishvili, Valeri Brattico, Elvira Toiviainen, Petri Coupling of Action-Perception Brain Networks during Musical Pulse Processing: Evidence from Region-of-Interest-Based Independent Component Analysis |
title | Coupling of Action-Perception Brain Networks during Musical Pulse Processing: Evidence from Region-of-Interest-Based Independent Component Analysis |
title_full | Coupling of Action-Perception Brain Networks during Musical Pulse Processing: Evidence from Region-of-Interest-Based Independent Component Analysis |
title_fullStr | Coupling of Action-Perception Brain Networks during Musical Pulse Processing: Evidence from Region-of-Interest-Based Independent Component Analysis |
title_full_unstemmed | Coupling of Action-Perception Brain Networks during Musical Pulse Processing: Evidence from Region-of-Interest-Based Independent Component Analysis |
title_short | Coupling of Action-Perception Brain Networks during Musical Pulse Processing: Evidence from Region-of-Interest-Based Independent Component Analysis |
title_sort | coupling of action-perception brain networks during musical pulse processing: evidence from region-of-interest-based independent component analysis |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5422442/ https://www.ncbi.nlm.nih.gov/pubmed/28536514 http://dx.doi.org/10.3389/fnhum.2017.00230 |
work_keys_str_mv | AT burunatiballa couplingofactionperceptionbrainnetworksduringmusicalpulseprocessingevidencefromregionofinterestbasedindependentcomponentanalysis AT tsatsishvilivaleri couplingofactionperceptionbrainnetworksduringmusicalpulseprocessingevidencefromregionofinterestbasedindependentcomponentanalysis AT bratticoelvira couplingofactionperceptionbrainnetworksduringmusicalpulseprocessingevidencefromregionofinterestbasedindependentcomponentanalysis AT toiviainenpetri couplingofactionperceptionbrainnetworksduringmusicalpulseprocessingevidencefromregionofinterestbasedindependentcomponentanalysis |