Voxel-based morphometry in opera singers: Increased gray-matter volume in right somatosensory and auditory cortices.
Identifieur interne : 000002 ( PubMed/Curation ); précédent : 000001; suivant : 000003Voxel-based morphometry in opera singers: Increased gray-matter volume in right somatosensory and auditory cortices.
Auteurs : Boris Kleber [Danemark] ; Ralf Veit [Allemagne] ; Christina Valérie Moll [Allemagne] ; Christian Gaser [Allemagne] ; Niels Birbaumer [Italie] ; Martin Lotze [Allemagne]Source :
- NeuroImage ; 2016.
Abstract
In contrast to instrumental musicians, professional singers do not train on a specific instrument but perfect a motor system that has already been extensively trained during speech motor development. Previous functional imaging studies suggest that experience with singing is associated with enhanced somatosensory-based vocal motor control. However, experience-dependent structural plasticity in vocal musicians has rarely been studied. We investigated voxel-based morphometry (VBM) in 27 professional classical singers and compared gray matter volume in regions of the "singing-network" to an age-matched group of 28 healthy volunteers with no special singing experience. We found right hemispheric volume increases in professional singers in ventral primary somatosensory cortex (larynx S1) and adjacent rostral supramarginal gyrus (BA40), as well as in secondary somatosensory (S2) and primary auditory cortices (A1). Moreover, we found that earlier commencement with vocal training correlated with increased gray-matter volume in S1. However, in contrast to studies with instrumental musicians, this correlation only emerged in singers who began their formal training after the age of 14years, when speech motor development has reached its first plateau. Structural data thus confirm and extend previous functional reports suggesting a pivotal role of somatosensation in vocal motor control with increased experience in singing. Results furthermore indicate a sensitive period for developing additional vocal skills after speech motor coordination has matured.
DOI: 10.1016/j.neuroimage.2016.03.045
PubMed: 27034024
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Previous functional imaging studies suggest that experience with singing is associated with enhanced somatosensory-based vocal motor control. However, experience-dependent structural plasticity in vocal musicians has rarely been studied. We investigated voxel-based morphometry (VBM) in 27 professional classical singers and compared gray matter volume in regions of the "singing-network" to an age-matched group of 28 healthy volunteers with no special singing experience. We found right hemispheric volume increases in professional singers in ventral primary somatosensory cortex (larynx S1) and adjacent rostral supramarginal gyrus (BA40), as well as in secondary somatosensory (S2) and primary auditory cortices (A1). Moreover, we found that earlier commencement with vocal training correlated with increased gray-matter volume in S1. However, in contrast to studies with instrumental musicians, this correlation only emerged in singers who began their formal training after the age of 14years, when speech motor development has reached its first plateau. Structural data thus confirm and extend previous functional reports suggesting a pivotal role of somatosensation in vocal motor control with increased experience in singing. Results furthermore indicate a sensitive period for developing additional vocal skills after speech motor coordination has matured.</div></front></TEI><pubmed><MedlineCitation Status="Publisher" Owner="NLM"><PMID Version="1">27034024</PMID><DateCreated><Year>2016</Year><Month>4</Month><Day>13</Day></DateCreated><DateRevised><Year>2016</Year><Month>4</Month><Day>13</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1095-9572</ISSN><JournalIssue CitedMedium="Internet"><Volume>133</Volume><PubDate><Year>2016</Year><Month>Mar</Month><Day>28</Day></PubDate></JournalIssue><Title>NeuroImage</Title><ISOAbbreviation>Neuroimage</ISOAbbreviation></Journal><ArticleTitle>Voxel-based morphometry in opera singers: Increased gray-matter volume in right somatosensory and auditory cortices.</ArticleTitle><Pagination><MedlinePgn>477-483</MedlinePgn></Pagination><ELocationID EIdType="pii">S1053-8119(16)00250-0</ELocationID><ELocationID EIdType="doi">10.1016/j.neuroimage.2016.03.045</ELocationID><Abstract><AbstractText NlmCategory="UNASSIGNED">In contrast to instrumental musicians, professional singers do not train on a specific instrument but perfect a motor system that has already been extensively trained during speech motor development. Previous functional imaging studies suggest that experience with singing is associated with enhanced somatosensory-based vocal motor control. However, experience-dependent structural plasticity in vocal musicians has rarely been studied. We investigated voxel-based morphometry (VBM) in 27 professional classical singers and compared gray matter volume in regions of the "singing-network" to an age-matched group of 28 healthy volunteers with no special singing experience. We found right hemispheric volume increases in professional singers in ventral primary somatosensory cortex (larynx S1) and adjacent rostral supramarginal gyrus (BA40), as well as in secondary somatosensory (S2) and primary auditory cortices (A1). Moreover, we found that earlier commencement with vocal training correlated with increased gray-matter volume in S1. However, in contrast to studies with instrumental musicians, this correlation only emerged in singers who began their formal training after the age of 14years, when speech motor development has reached its first plateau. Structural data thus confirm and extend previous functional reports suggesting a pivotal role of somatosensation in vocal motor control with increased experience in singing. Results furthermore indicate a sensitive period for developing additional vocal skills after speech motor coordination has matured.</AbstractText><CopyrightInformation>Copyright © 2016 Elsevier Inc. All rights reserved.</CopyrightInformation></Abstract><AuthorList><Author><LastName>Kleber</LastName><ForeName>Boris</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>Institute for Medical Psychology and Behavioral Neurobiology, University of Tübingen, 72074 Tübingen, Germany; Center for Music in the Brain, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark. Electronic address: boris.kleber@clin.au.dk.</Affiliation></AffiliationInfo></Author><Author><LastName>Veit</LastName><ForeName>Ralf</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Institute for Medical Psychology and Behavioral Neurobiology, University of Tübingen, 72074 Tübingen, Germany.</Affiliation></AffiliationInfo></Author><Author><LastName>Moll</LastName><ForeName>Christina Valérie</ForeName><Initials>CV</Initials><AffiliationInfo><Affiliation>Institute for Medical Psychology and Behavioral Neurobiology, University of Tübingen, 72074 Tübingen, Germany.</Affiliation></AffiliationInfo></Author><Author><LastName>Gaser</LastName><ForeName>Christian</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Department of Psychiatry, University of Jena, Germany.</Affiliation></AffiliationInfo></Author><Author><LastName>Birbaumer</LastName><ForeName>Niels</ForeName><Initials>N</Initials><AffiliationInfo><Affiliation>Institute for Medical Psychology and Behavioral Neurobiology, University of Tübingen, 72074 Tübingen, Germany; Ospedale San Camillo, Istituto di Ricovero e Cura a Carattere Scientifico, 30126 Venezia, Italy.</Affiliation></AffiliationInfo></Author><Author><LastName>Lotze</LastName><ForeName>Martin</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Functional Imaging Unit, Center for Diagnostic Radiology and Neuroradiology, University of Greifswald, 17489 Greifswald, Germany.</Affiliation></AffiliationInfo></Author></AuthorList><Language>ENG</Language><PublicationTypeList><PublicationType UI="">JOURNAL ARTICLE</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2016</Year><Month>3</Month><Day>28</Day></ArticleDate></Article><MedlineJournalInfo><MedlineTA>Neuroimage</MedlineTA><NlmUniqueID>9215515</NlmUniqueID><ISSNLinking>1053-8119</ISSNLinking></MedlineJournalInfo></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2015</Year><Month>8</Month><Day>17</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2015</Year><Month>11</Month><Day>20</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2016</Year><Month>3</Month><Day>18</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>4</Month><Day>2</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2016</Year><Month>4</Month><Day>2</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2016</Year><Month>4</Month><Day>2</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>aheadofprint</PublicationStatus><ArticleIdList><ArticleId IdType="pii">S1053-8119(16)00250-0</ArticleId><ArticleId IdType="doi">10.1016/j.neuroimage.2016.03.045</ArticleId><ArticleId IdType="pubmed">27034024</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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