Complex networks emerging during choir singing.
Identifieur interne : 000078 ( Main/Exploration ); précédent : 000077; suivant : 000079Complex networks emerging during choir singing.
Auteurs : Viktor Müller [Allemagne] ; Julia A M. Delius [Allemagne] ; Ulman Lindenberger [Allemagne, Italie]Source :
- Annals of the New York Academy of Sciences [ 1749-6632 ] ; 2018.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- physiology : Autonomic Nervous System, Heart Rate, Singing.
- Adult, Electrocardiography, Female, Humans, Male, Middle Aged, Quality of Life, Social Networking, Young Adult.
Abstract
Choir singing is positively associated with well-being and quality of life, and requires the coordination of physiological systems within and across individuals. Informed by models of interpersonal action coordination, we delineate the network topography of choir singing by analyzing cross-frequency couplings and within-frequency couplings (WFCs) of respiratory, cardiac, vocalizing, and motor subsystems. We find that respiratory and cardiac subsystems synchronize with one another during singing and are coupled to oscillatory vocalizing patterns, and to the hand-movement oscillations of the choir's conductor. The choir's cross-frequency connections are particularly strong when singing a canon in parts, apparently supporting the interaction and coordination of the different canon entries. In contrast, WFCs are more pronounced when singing the same canon in unison. We conclude that the temporal coordination dynamics of the observed subsystems form part of the functional substrate for choir singing. During singing, the choir functions as a superordinate system, or superorganism, that imposes boundary conditions on the dynamic features of the individual singers.
DOI: 10.1111/nyas.13940
PubMed: 30058160
Affiliations:
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Informed by models of interpersonal action coordination, we delineate the network topography of choir singing by analyzing cross-frequency couplings and within-frequency couplings (WFCs) of respiratory, cardiac, vocalizing, and motor subsystems. We find that respiratory and cardiac subsystems synchronize with one another during singing and are coupled to oscillatory vocalizing patterns, and to the hand-movement oscillations of the choir's conductor. The choir's cross-frequency connections are particularly strong when singing a canon in parts, apparently supporting the interaction and coordination of the different canon entries. In contrast, WFCs are more pronounced when singing the same canon in unison. We conclude that the temporal coordination dynamics of the observed subsystems form part of the functional substrate for choir singing. During singing, the choir functions as a superordinate system, or superorganism, that imposes boundary conditions on the dynamic features of the individual singers.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">30058160</PMID><DateCompleted><Year>2019</Year><Month>02</Month><Day>27</Day></DateCompleted><DateRevised><Year>2019</Year><Month>02</Month><Day>27</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1749-6632</ISSN><JournalIssue CitedMedium="Internet"><Volume>1431</Volume><Issue>1</Issue><PubDate><Year>2018</Year><Month>11</Month></PubDate></JournalIssue><Title>Annals of the New York Academy of Sciences</Title></Journal><ArticleTitle>Complex networks emerging during choir singing.</ArticleTitle><Pagination><MedlinePgn>85-101</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1111/nyas.13940</ELocationID><Abstract><AbstractText>Choir singing is positively associated with well-being and quality of life, and requires the coordination of physiological systems within and across individuals. Informed by models of interpersonal action coordination, we delineate the network topography of choir singing by analyzing cross-frequency couplings and within-frequency couplings (WFCs) of respiratory, cardiac, vocalizing, and motor subsystems. We find that respiratory and cardiac subsystems synchronize with one another during singing and are coupled to oscillatory vocalizing patterns, and to the hand-movement oscillations of the choir's conductor. The choir's cross-frequency connections are particularly strong when singing a canon in parts, apparently supporting the interaction and coordination of the different canon entries. In contrast, WFCs are more pronounced when singing the same canon in unison. We conclude that the temporal coordination dynamics of the observed subsystems form part of the functional substrate for choir singing. During singing, the choir functions as a superordinate system, or superorganism, that imposes boundary conditions on the dynamic features of the individual singers.</AbstractText><CopyrightInformation>© 2018 New York Academy of Sciences.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Müller</LastName><ForeName>Viktor</ForeName><Initials>V</Initials><AffiliationInfo><Affiliation>Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Delius</LastName><ForeName>Julia A M</ForeName><Initials>JAM</Initials><AffiliationInfo><Affiliation>Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lindenberger</LastName><ForeName>Ulman</ForeName><Initials>U</Initials><AffiliationInfo><Affiliation>Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>European University Institute, San Domenico di Fiesole (FI), Italy.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, England, and Berlin, Germany.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2018</Year><Month>07</Month><Day>29</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Ann N Y Acad Sci</MedlineTA><NlmUniqueID>7506858</NlmUniqueID><ISSNLinking>0077-8923</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001341" MajorTopicYN="N">Autonomic Nervous System</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004562" MajorTopicYN="N">Electrocardiography</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006339" MajorTopicYN="N">Heart Rate</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011788" MajorTopicYN="N">Quality of Life</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D063346" MajorTopicYN="N">Singing</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D060756" MajorTopicYN="N">Social Networking</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">cross-frequency coupling</Keyword><Keyword MajorTopicYN="Y">graph-theoretic approach</Keyword><Keyword MajorTopicYN="Y">heart rate variability</Keyword><Keyword MajorTopicYN="Y">phase synchronization</Keyword><Keyword MajorTopicYN="Y">social networks</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2018</Year><Month>03</Month><Day>12</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2018</Year><Month>06</Month><Day>29</Day></PubMedPubDate><PubMedPubDate 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Müller</name></region><name sortKey="Delius, Julia A M" sort="Delius, Julia A M" uniqKey="Delius J" first="Julia A M" last="Delius">Julia A M. Delius</name><name sortKey="Lindenberger, Ulman" sort="Lindenberger, Ulman" uniqKey="Lindenberger U" first="Ulman" last="Lindenberger">Ulman Lindenberger</name><name sortKey="Lindenberger, Ulman" sort="Lindenberger, Ulman" uniqKey="Lindenberger U" first="Ulman" last="Lindenberger">Ulman Lindenberger</name></country><country name="Italie"><noRegion><name sortKey="Lindenberger, Ulman" sort="Lindenberger, Ulman" uniqKey="Lindenberger U" first="Ulman" last="Lindenberger">Ulman Lindenberger</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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