Differentiating maturational and training influences on fMRI activation during music processing
Identifieur interne : 000D81 ( Pmc/Curation ); précédent : 000D80; suivant : 000D82Differentiating maturational and training influences on fMRI activation during music processing
Auteurs : Robert J. Ellis [États-Unis] ; Andrea C. Norton [États-Unis] ; Katie Overy [Royaume-Uni] ; Ellen Winner [États-Unis] ; David C. Alsop [États-Unis] ; Gottfried Schlaug [États-Unis]Source :
- NeuroImage [ 1053-8119 ] ; 2012.
Abstract
Two major influences on how the brain processes music are maturational development and active musical training. Previous functional neuroimaging studies investigating music processing have typically focused on either categorical differences between “musicians versus nonmusicians” or “children versus adults.” In the present study, we explored a cross-sectional data set (
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DOI: 10.1016/j.neuroimage.2012.01.138
PubMed: 22348885
PubMed Central: 3666326
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<front><div type="abstract" xml:lang="en"><p id="P1">Two major influences on how the brain processes music are maturational development and active musical training. Previous functional neuroimaging studies investigating music processing have typically focused on either categorical differences between “musicians versus nonmusicians” or “children versus adults.” In the present study, we explored a cross-sectional data set (<italic>n</italic>
=84) using multiple linear regression to isolate the performance-independent effects of age (5 to 33 years) and cumulative duration of musical training (0 to 21,000 practice hours) on fMRI activation similarities and differences between melodic discrimination (MD) and rhythmic discrimination (RD). Age-related effects common to MD and RD were present in three left hemisphere regions: temporofrontal junction, ventral premotor cortex, and the inferior part of the intraparietal sulcus, regions involved in active attending to auditory rhythms, sensorimotor integration, and working memory transformations of pitch and rhythmic patterns. By contrast, training-related effects common to MD and RD were localized to the posterior portion of the left superior temporal gyrus/planum temporale, an area implicated in spectrotemporal pattern matching and auditory–motor coordinate transformations. A single cluster in right superior temporal gyrus showed significantly greater activation during MD than RD. This is the first fMRI which has distinguished maturational from training effects during music processing.</p>
</div>
</front>
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<pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
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<front><journal-meta><journal-id journal-id-type="nlm-journal-id">9215515</journal-id>
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<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
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<title-group><article-title>Differentiating maturational and training influences on fMRI activation during music processing</article-title>
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<contrib-group><contrib contrib-type="author"><name><surname>Ellis</surname>
<given-names>Robert J.</given-names>
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<xref ref-type="aff" rid="A1">a</xref>
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<contrib contrib-type="author"><name><surname>Norton</surname>
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<contrib contrib-type="author"><name><surname>Overy</surname>
<given-names>Katie</given-names>
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<contrib contrib-type="author"><name><surname>Winner</surname>
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<aff id="A1"><label>a</label>
Beth Israel Deaconess Medical Center and Harvard Medical School, Department of Neurology, 330 Brookline Ave, Palmer 127, Boston, MA 02215, USA</aff>
<aff id="A2"><label>b</label>
Institute for Music in Human and Social Development, University of Edinburgh, 12 Nicolson Square, Edinburgh EH8 9DF, UK</aff>
<aff id="A3"><label>c</label>
Boston College, Department of Psychology, McGuinn Hall 436, Chestnut Hill, MA 02467, USA</aff>
<aff id="A4"><label>d</label>
Beth Israel Deaconess Medical Center and Harvard Medical School, Department of Radiology, 330 Brookline Ave, Ansin 226, Boston, MA 02215, USA</aff>
<author-notes><corresp id="FN1"><label>*</label>
Corresponding author. Fax: +1 617 632 8920. <email>gschlaug@bidmc.harvard.edu</email>
(G. Schlaug)</corresp>
</author-notes>
<pub-date pub-type="nihms-submitted"><day>14</day>
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<permissions><copyright-statement>© 2012 Elsevier Inc. All rights reserved.</copyright-statement>
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<abstract><p id="P1">Two major influences on how the brain processes music are maturational development and active musical training. Previous functional neuroimaging studies investigating music processing have typically focused on either categorical differences between “musicians versus nonmusicians” or “children versus adults.” In the present study, we explored a cross-sectional data set (<italic>n</italic>
=84) using multiple linear regression to isolate the performance-independent effects of age (5 to 33 years) and cumulative duration of musical training (0 to 21,000 practice hours) on fMRI activation similarities and differences between melodic discrimination (MD) and rhythmic discrimination (RD). Age-related effects common to MD and RD were present in three left hemisphere regions: temporofrontal junction, ventral premotor cortex, and the inferior part of the intraparietal sulcus, regions involved in active attending to auditory rhythms, sensorimotor integration, and working memory transformations of pitch and rhythmic patterns. By contrast, training-related effects common to MD and RD were localized to the posterior portion of the left superior temporal gyrus/planum temporale, an area implicated in spectrotemporal pattern matching and auditory–motor coordinate transformations. A single cluster in right superior temporal gyrus showed significantly greater activation during MD than RD. This is the first fMRI which has distinguished maturational from training effects during music processing.</p>
</abstract>
<kwd-group><kwd>Auditory discrimination</kwd>
<kwd>Developmental</kwd>
<kwd>Musical training</kwd>
</kwd-group>
<funding-group><award-group><funding-source country="United States">National Institute on Deafness and Other Communication Disorders : NIDCD</funding-source>
<award-id>R01 DC009823 || DC</award-id>
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<award-group><funding-source country="United States">National Institute on Deafness and Other Communication Disorders : NIDCD</funding-source>
<award-id>R01 DC008796 || DC</award-id>
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