Training-mediated leftward asymmetries during music processing: a cross-sectional and longitudinal fMRI analysis.
Identifieur interne : 001101 ( Main/Exploration ); précédent : 001100; suivant : 001102Training-mediated leftward asymmetries during music processing: a cross-sectional and longitudinal fMRI analysis.
Auteurs : Robert J. Ellis [États-Unis] ; Bente Bruijn [Pays-Bas] ; Andrea C. Norton [États-Unis] ; Ellen Winner [États-Unis] ; Gottfried Schlaug [États-Unis]Source :
- NeuroImage [ 1095-9572 ] ; 2013.
Descripteurs français
- KwdFr :
- Adulte (MeSH), Encéphale (physiologie), Enfant (MeSH), Enfant d'âge préscolaire (MeSH), Femelle (MeSH), Humains (MeSH), Imagerie par résonance magnétique (MeSH), Interprétation d'images assistée par ordinateur (MeSH), Jeune adulte (MeSH), Latéralité fonctionnelle (physiologie), Musique (MeSH), Mâle (MeSH), Mémoire à court terme (physiologie), Perception auditive (physiologie), Études longitudinales (MeSH), Études transversales (MeSH).
- MESH :
- physiologie : Encéphale, Latéralité fonctionnelle, Mémoire à court terme, Perception auditive.
- Adulte, Enfant, Enfant d'âge préscolaire, Femelle, Humains, Imagerie par résonance magnétique, Interprétation d'images assistée par ordinateur, Jeune adulte, Musique, Mâle, Études longitudinales, Études transversales.
English descriptors
- KwdEn :
- Adult (MeSH), Auditory Perception (physiology), Brain (physiology), Child (MeSH), Child, Preschool (MeSH), Cross-Sectional Studies (MeSH), Female (MeSH), Functional Laterality (physiology), Humans (MeSH), Image Interpretation, Computer-Assisted (MeSH), Longitudinal Studies (MeSH), Magnetic Resonance Imaging (MeSH), Male (MeSH), Memory, Short-Term (physiology), Music (MeSH), Young Adult (MeSH).
- MESH :
Abstract
Practicing a musical instrument has a profound impact on the structure and function of the human brain. The present fMRI study explored how relative hemispheric asymmetries in task-related activity during music processing (same/different discrimination) are shaped by musical training (quantified as cumulative hours of instrument practice), using both a large (N=84) cross-sectional data set of children and adults, and a smaller (N=20) two time-point longitudinal data set of children tracked over 3 to 5 years. The cross-sectional analysis revealed a significant leftward asymmetry in task-related activation, with peaks in Heschl's gyrus and supramarginal gyrus (SMG). The SMG peak was further characterized by a leftward asymmetry in the partial correlation strength with subjects' cumulative hours of practice, controlling for subjects' age and task performance. This SMG peak was found to exhibit a similar pattern of response in the longitudinal data set (in this case, with subjects' cumulative hours of practice over the course of the study), controlling for age, scan interval, and amount of instrument practice prior to the first scan. This study presents novel insights into the ways musical instrument training shapes task-related asymmetries in neural activity during music processing.
DOI: 10.1016/j.neuroimage.2013.02.045
PubMed: 23470982
PubMed Central: PMC3705762
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Ellis</name><affiliation wicri:level="2"><nlm:affiliation>Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Palmer 127, Boston, MA 02215, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Palmer 127, Boston, MA 02215</wicri:regionArea><placeName><region type="state">Massachusetts</region></placeName></affiliation></author><author><name sortKey="Bruijn, Bente" sort="Bruijn, Bente" uniqKey="Bruijn B" first="Bente" last="Bruijn">Bente Bruijn</name><affiliation wicri:level="4"><nlm:affiliation>Medical Faculty AMC-UvA, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Medical Faculty AMC-UvA, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam</wicri:regionArea><placeName><settlement type="city">Amsterdam</settlement><region nuts="2" type="province">Hollande-Septentrionale</region></placeName><orgName type="university">Université d'Amsterdam</orgName></affiliation></author><author><name sortKey="Norton, Andrea C" sort="Norton, Andrea C" uniqKey="Norton A" first="Andrea C" last="Norton">Andrea C. Norton</name><affiliation wicri:level="2"><nlm:affiliation>Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Palmer 127, Boston, MA 02215, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Palmer 127, Boston, MA 02215</wicri:regionArea><placeName><region type="state">Massachusetts</region></placeName></affiliation></author><author><name sortKey="Winner, Ellen" sort="Winner, Ellen" uniqKey="Winner E" first="Ellen" last="Winner">Ellen Winner</name><affiliation wicri:level="2"><nlm:affiliation>Department of Psychology, Boston College, McGuinn Hall, 140 Commonwealth Ave., Chestnut Hill, MA 02467, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Psychology, Boston College, McGuinn Hall, 140 Commonwealth Ave., Chestnut Hill, MA 02467</wicri:regionArea><placeName><region type="state">Massachusetts</region></placeName></affiliation></author><author><name sortKey="Schlaug, Gottfried" sort="Schlaug, Gottfried" uniqKey="Schlaug G" first="Gottfried" last="Schlaug">Gottfried Schlaug</name><affiliation wicri:level="2"><nlm:affiliation>Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Palmer 127, Boston, MA 02215, USA. 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The present fMRI study explored how relative hemispheric asymmetries in task-related activity during music processing (same/different discrimination) are shaped by musical training (quantified as cumulative hours of instrument practice), using both a large (N=84) cross-sectional data set of children and adults, and a smaller (N=20) two time-point longitudinal data set of children tracked over 3 to 5 years. The cross-sectional analysis revealed a significant leftward asymmetry in task-related activation, with peaks in Heschl's gyrus and supramarginal gyrus (SMG). The SMG peak was further characterized by a leftward asymmetry in the partial correlation strength with subjects' cumulative hours of practice, controlling for subjects' age and task performance. This SMG peak was found to exhibit a similar pattern of response in the longitudinal data set (in this case, with subjects' cumulative hours of practice over the course of the study), controlling for age, scan interval, and amount of instrument practice prior to the first scan. This study presents novel insights into the ways musical instrument training shapes task-related asymmetries in neural activity during music processing.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">23470982</PMID><DateCompleted><Year>2013</Year><Month>11</Month><Day>26</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1095-9572</ISSN><JournalIssue CitedMedium="Internet"><Volume>75</Volume><PubDate><Year>2013</Year><Month>Jul</Month><Day>15</Day></PubDate></JournalIssue><Title>NeuroImage</Title><ISOAbbreviation>Neuroimage</ISOAbbreviation></Journal><ArticleTitle>Training-mediated leftward asymmetries during music processing: a cross-sectional and longitudinal fMRI analysis.</ArticleTitle><Pagination><MedlinePgn>97-107</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S1053-8119(13)00179-1</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.neuroimage.2013.02.045</ELocationID><Abstract><AbstractText>Practicing a musical instrument has a profound impact on the structure and function of the human brain. The present fMRI study explored how relative hemispheric asymmetries in task-related activity during music processing (same/different discrimination) are shaped by musical training (quantified as cumulative hours of instrument practice), using both a large (N=84) cross-sectional data set of children and adults, and a smaller (N=20) two time-point longitudinal data set of children tracked over 3 to 5 years. The cross-sectional analysis revealed a significant leftward asymmetry in task-related activation, with peaks in Heschl's gyrus and supramarginal gyrus (SMG). The SMG peak was further characterized by a leftward asymmetry in the partial correlation strength with subjects' cumulative hours of practice, controlling for subjects' age and task performance. This SMG peak was found to exhibit a similar pattern of response in the longitudinal data set (in this case, with subjects' cumulative hours of practice over the course of the study), controlling for age, scan interval, and amount of instrument practice prior to the first scan. This study presents novel insights into the ways musical instrument training shapes task-related asymmetries in neural activity during music processing.</AbstractText><CopyrightInformation>Copyright © 2013 Elsevier Inc. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Ellis</LastName><ForeName>Robert J</ForeName><Initials>RJ</Initials><AffiliationInfo><Affiliation>Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Palmer 127, Boston, MA 02215, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bruijn</LastName><ForeName>Bente</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>Medical Faculty AMC-UvA, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Norton</LastName><ForeName>Andrea C</ForeName><Initials>AC</Initials><AffiliationInfo><Affiliation>Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Palmer 127, Boston, MA 02215, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Winner</LastName><ForeName>Ellen</ForeName><Initials>E</Initials><AffiliationInfo><Affiliation>Department of Psychology, Boston College, McGuinn Hall, 140 Commonwealth Ave., Chestnut Hill, MA 02467, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Schlaug</LastName><ForeName>Gottfried</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Palmer 127, Boston, MA 02215, USA. Electronic address: gschlaug@bidmc.harvard.edu.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>R01 DC008796</GrantID><Acronym>DC</Acronym><Agency>NIDCD NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>R01 DC009823</GrantID><Acronym>DC</Acronym><Agency>NIDCD NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>DC008796</GrantID><Acronym>DC</Acronym><Agency>NIDCD NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>DC009823</GrantID><Acronym>DC</Acronym><Agency>NIDCD NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType><PublicationType UI="D013486">Research Support, U.S. Gov't, Non-P.H.S.</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2013</Year><Month>03</Month><Day>05</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Neuroimage</MedlineTA><NlmUniqueID>9215515</NlmUniqueID><ISSNLinking>1053-8119</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001307" MajorTopicYN="N">Auditory Perception</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D001921" MajorTopicYN="N">Brain</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003430" MajorTopicYN="N">Cross-Sectional Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007839" MajorTopicYN="N">Functional Laterality</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007090" MajorTopicYN="N">Image Interpretation, Computer-Assisted</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008137" MajorTopicYN="N">Longitudinal Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008279" MajorTopicYN="N">Magnetic Resonance Imaging</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008570" MajorTopicYN="N">Memory, Short-Term</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D009146" MajorTopicYN="Y">Music</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2012</Year><Month>09</Month><Day>05</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2013</Year><Month>02</Month><Day>19</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2013</Year><Month>02</Month><Day>20</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2013</Year><Month>3</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate 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