Brain signal variability as a window into the bidirectionality between music and language processing: moving from a linear to a nonlinear model
Identifieur interne : 000603 ( Main/Exploration ); précédent : 000602; suivant : 000604Brain signal variability as a window into the bidirectionality between music and language processing: moving from a linear to a nonlinear model
Auteurs : Stefanie Hutka [Canada] ; Gavin M. Bidelman [États-Unis] ; Sylvain Moreno [Canada]Source :
- Frontiers in Psychology ; 2013.
Abstract
There is convincing empirical evidence for bidirectional transfer between music and language, such that experience in either domain can improve mental processes required by the other. This music-language relationship has been studied using linear models (e.g., comparing mean neural activity) that conceptualize brain activity as a static entity. The linear approach limits how we can understand the brain’s processing of music and language because the brain is a nonlinear system. Furthermore, there is evidence that the networks supporting music and language processing interact in a nonlinear manner. We therefore posit that the neural processing and transfer between the domains of language and music are best viewed through the lens of a nonlinear framework. Nonlinear analysis of neurophysiological activity may yield new insight into the commonalities, differences, and bidirectionality between these two cognitive domains not measurable in the local output of a cortical patch. We thus propose a novel application of brain signal variability (BSV) analysis, based on mutual information and signal entropy, to better understand the bidirectionality of music-to-language transfer in the context of a nonlinear framework. This approach will extend current methods by offering a nuanced, network-level understanding of the brain complexity involved in music-language transfer.
Url:
DOI: 10.3389/fpsyg.2013.00984
PubMed: 24454295
PubMed Central: 3874766
Affiliations:
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Bidelman</name><affiliation wicri:level="1"><nlm:aff id="aff3"><institution>Institute for Intelligent Systems, University of Memphis</institution><country>Memphis, TN, USA</country></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea></wicri:regionArea><wicri:regionArea># see nlm:aff region in country</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="aff4"><institution>School of Communication Sciences and Disorders, University of Memphis</institution><country>Memphis, TN, USA</country></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea></wicri:regionArea><wicri:regionArea># see nlm:aff region in country</wicri:regionArea></affiliation></author><author><name sortKey="Moreno, Sylvain" sort="Moreno, Sylvain" uniqKey="Moreno S" first="Sylvain" last="Moreno">Sylvain Moreno</name><affiliation wicri:level="1"><nlm:aff id="aff1"><institution>Department of Psychology, University of Toronto</institution><country>Toronto, ON, Canada</country></nlm:aff><country xml:lang="fr">Canada</country><wicri:regionArea></wicri:regionArea><wicri:regionArea># see nlm:aff region in country</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="aff2"><institution>NeuroEducation across the Lifespan Laboratory, Rotman Research Institute, Baycrest Centre for Geriatric Care</institution><country>Toronto, ON, Canada</country></nlm:aff><country xml:lang="fr">Canada</country><wicri:regionArea></wicri:regionArea><wicri:regionArea># see nlm:aff region in country</wicri:regionArea></affiliation></author></analytic><series><title level="j">Frontiers in Psychology</title><idno type="e-ISSN">1664-1078</idno><imprint><date when="2013">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>There is convincing empirical evidence for bidirectional transfer between music and language, such that experience in either domain can improve mental processes required by the other. This music-language relationship has been studied using linear models (e.g., comparing mean neural activity) that conceptualize brain activity as a static entity. The linear approach limits how we can understand the brain’s processing of music and language because the brain is a nonlinear system. Furthermore, there is evidence that the networks supporting music and language processing interact in a nonlinear manner. We therefore posit that the neural processing and transfer between the domains of language and music are best viewed through the lens of a nonlinear framework. Nonlinear analysis of neurophysiological activity may yield new insight into the commonalities, differences, and bidirectionality between these two cognitive domains not measurable in the local output of a cortical patch. We thus propose a novel application of brain signal variability (BSV) analysis, based on mutual information and signal entropy, to better understand the bidirectionality of music-to-language transfer in the context of a nonlinear framework. This approach will extend current methods by offering a nuanced, network-level understanding of the brain complexity involved in music-language transfer.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Abraham, R" uniqKey="Abraham R">R. Abraham</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Anvari, S H" uniqKey="Anvari S">S. H. Anvari</name></author><author><name sortKey="Trainor, L J" uniqKey="Trainor L">L. J. Trainor</name></author><author><name sortKey="Woodside, J" uniqKey="Woodside J">J. Woodside</name></author><author><name sortKey="Levy, B A" uniqKey="Levy B">B. A. 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Wong</name></author><author><name sortKey="Skoe, E" uniqKey="Skoe E">E. Skoe</name></author><author><name sortKey="Russo, N M" uniqKey="Russo N">N. M. Russo</name></author><author><name sortKey="Dees, T" uniqKey="Dees T">T. Dees</name></author><author><name sortKey="Kraus, N" uniqKey="Kraus N">N. Kraus</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Wong, P C M" uniqKey="Wong P">P. C. M. Wong</name></author><author><name sortKey="Ciocca, V" uniqKey="Ciocca V">V. Ciocca</name></author><author><name sortKey="Chan, A H D" uniqKey="Chan A">A. H. D. Chan</name></author><author><name sortKey="Ha, L Y Y" uniqKey="Ha L">L. Y. Y. Ha</name></author><author><name sortKey="Tan, L H" uniqKey="Tan L">L. H. Tan</name></author><author><name sortKey="Peretz, I" uniqKey="Peretz I">I. Peretz</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Yip, M" uniqKey="Yip M">M. Yip</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Zatorre, R J" uniqKey="Zatorre R">R. J. Zatorre</name></author><author><name sortKey="Baum, S R" uniqKey="Baum S">S. R. Baum</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>Canada</li><li>États-Unis</li></country></list><tree><country name="Canada"><noRegion><name sortKey="Hutka, Stefanie" sort="Hutka, Stefanie" uniqKey="Hutka S" first="Stefanie" last="Hutka">Stefanie Hutka</name></noRegion><name sortKey="Hutka, Stefanie" sort="Hutka, Stefanie" uniqKey="Hutka S" first="Stefanie" last="Hutka">Stefanie Hutka</name><name sortKey="Moreno, Sylvain" sort="Moreno, Sylvain" uniqKey="Moreno S" first="Sylvain" last="Moreno">Sylvain Moreno</name><name sortKey="Moreno, Sylvain" sort="Moreno, Sylvain" uniqKey="Moreno S" first="Sylvain" last="Moreno">Sylvain Moreno</name></country><country name="États-Unis"><noRegion><name sortKey="Bidelman, Gavin M" sort="Bidelman, Gavin M" uniqKey="Bidelman G" first="Gavin M." last="Bidelman">Gavin M. Bidelman</name></noRegion><name sortKey="Bidelman, Gavin M" sort="Bidelman, Gavin M" uniqKey="Bidelman G" first="Gavin M." last="Bidelman">Gavin M. Bidelman</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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