Differentiating maturational and training influences on fMRI activation during music processing.
Identifieur interne : 001354 ( Main/Exploration ); précédent : 001353; suivant : 001355Differentiating maturational and training influences on fMRI activation during music processing.
Auteurs : Robert J. Ellis [États-Unis] ; Andrea C. Norton ; Katie Overy ; Ellen Winner ; David C. Alsop ; Gottfried SchlaugSource :
- NeuroImage [ 1095-9572 ] ; 2012.
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Analyse et exécution des tâches (MeSH), Cortex cérébral (physiologie), Enfant (MeSH), Enfant d'âge préscolaire (MeSH), Femelle (MeSH), Humains (MeSH), Imagerie par résonance magnétique (méthodes), Jeune adulte (MeSH), Musique (MeSH), Mâle (MeSH), Neuroimagerie fonctionnelle (méthodes), Perception auditive (physiologie), Vieillissement (physiologie).
- MESH :
English descriptors
- KwdEn :
- Adolescent (MeSH), Adult (MeSH), Aging (physiology), Auditory Perception (physiology), Cerebral Cortex (physiology), Child (MeSH), Child, Preschool (MeSH), Female (MeSH), Functional Neuroimaging (methods), Humans (MeSH), Magnetic Resonance Imaging (methods), Male (MeSH), Music (MeSH), Task Performance and Analysis (MeSH), Young Adult (MeSH).
- MESH :
- methods : Functional Neuroimaging, Magnetic Resonance Imaging.
- physiology : Aging, Auditory Perception, Cerebral Cortex.
- Adolescent, Adult, Child, Child, Preschool, Female, Humans, Male, Music, Task Performance and Analysis, Young Adult.
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 (n=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.
DOI: 10.1016/j.neuroimage.2012.01.138
PubMed: 22348885
PubMed Central: PMC3666326
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Alsop</name></author><author><name sortKey="Schlaug, Gottfried" sort="Schlaug, Gottfried" uniqKey="Schlaug G" first="Gottfried" last="Schlaug">Gottfried Schlaug</name></author></analytic><series><title level="j">NeuroImage</title><idno type="eISSN">1095-9572</idno><imprint><date when="2012" type="published">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent (MeSH)</term><term>Adult (MeSH)</term><term>Aging (physiology)</term><term>Auditory Perception (physiology)</term><term>Cerebral Cortex (physiology)</term><term>Child (MeSH)</term><term>Child, Preschool (MeSH)</term><term>Female (MeSH)</term><term>Functional Neuroimaging (methods)</term><term>Humans (MeSH)</term><term>Magnetic Resonance Imaging (methods)</term><term>Male (MeSH)</term><term>Music (MeSH)</term><term>Task Performance and Analysis (MeSH)</term><term>Young Adult (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent (MeSH)</term><term>Adulte (MeSH)</term><term>Analyse et exécution des tâches (MeSH)</term><term>Cortex cérébral (physiologie)</term><term>Enfant (MeSH)</term><term>Enfant d'âge préscolaire (MeSH)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Imagerie par résonance magnétique (méthodes)</term><term>Jeune adulte (MeSH)</term><term>Musique (MeSH)</term><term>Mâle (MeSH)</term><term>Neuroimagerie fonctionnelle (méthodes)</term><term>Perception auditive (physiologie)</term><term>Vieillissement (physiologie)</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Functional Neuroimaging</term><term>Magnetic Resonance Imaging</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Imagerie par résonance magnétique</term><term>Neuroimagerie fonctionnelle</term></keywords><keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Cortex cérébral</term><term>Perception auditive</term><term>Vieillissement</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Aging</term><term>Auditory Perception</term><term>Cerebral Cortex</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Child</term><term>Child, Preschool</term><term>Female</term><term>Humans</term><term>Male</term><term>Music</term><term>Task Performance and Analysis</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Analyse et exécution des tâches</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Femelle</term><term>Humains</term><term>Jeune adulte</term><term>Musique</term><term>Mâle</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">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 (n=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.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">22348885</PMID><DateCompleted><Year>2012</Year><Month>08</Month><Day>06</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>60</Volume><Issue>3</Issue><PubDate><Year>2012</Year><Month>Apr</Month><Day>15</Day></PubDate></JournalIssue><Title>NeuroImage</Title><ISOAbbreviation>Neuroimage</ISOAbbreviation></Journal><ArticleTitle>Differentiating maturational and training influences on fMRI activation during music processing.</ArticleTitle><Pagination><MedlinePgn>1902-12</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.neuroimage.2012.01.138</ELocationID><Abstract><AbstractText>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 (n=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.</AbstractText><CopyrightInformation>Copyright © 2012 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>Beth Israel Deaconess Medical Center and Harvard Medical School, Department of Neurology, 330 Brookline Ave, Palmer 127, Boston, MA 02215, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Norton</LastName><ForeName>Andrea C</ForeName><Initials>AC</Initials></Author><Author ValidYN="Y"><LastName>Overy</LastName><ForeName>Katie</ForeName><Initials>K</Initials></Author><Author ValidYN="Y"><LastName>Winner</LastName><ForeName>Ellen</ForeName><Initials>E</Initials></Author><Author ValidYN="Y"><LastName>Alsop</LastName><ForeName>David C</ForeName><Initials>DC</Initials></Author><Author ValidYN="Y"><LastName>Schlaug</LastName><ForeName>Gottfried</ForeName><Initials>G</Initials></Author></AuthorList><Language>eng</Language><GrantList 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IdType="pubmed">19025961</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>États-Unis</li></country><region><li>Massachusetts</li></region></list><tree><noCountry><name sortKey="Alsop, David C" sort="Alsop, David C" uniqKey="Alsop D" first="David C" last="Alsop">David C. 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