Bach Is the Father of Harmony: Revealed by a 1/f Fluctuation Analysis across Musical Genres.
Identifieur interne : 000008 ( PubMed/Curation ); précédent : 000007; suivant : 000009Bach Is the Father of Harmony: Revealed by a 1/f Fluctuation Analysis across Musical Genres.
Auteurs : Dan Wu [République populaire de Chine] ; Keith M. Kendrick [République populaire de Chine] ; Daniel J. Levitin [Canada] ; Chaoyi Li [République populaire de Chine] ; Dezhong Yao [République populaire de Chine]Source :
- PloS one ; 2015.
Abstract
Harmony is a fundamental attribute of music. Close connections exist between music and mathematics since both pursue harmony and unity. In music, the consonance of notes played simultaneously partly determines our perception of harmony; associates with aesthetic responses; and influences the emotion expression. The consonance could be considered as a window to understand and analyze harmony. Here for the first time we used a 1/f fluctuation analysis to investigate whether the consonance fluctuation structure in music with a wide range of composers and genres followed the scale free pattern that has been found for pitch, melody, rhythm, human body movements, brain activity, natural images and geographical features. We then used a network graph approach to investigate which composers were the most influential both within and across genres. Our results showed that patterns of consonance in music did follow scale-free characteristics, suggesting that this feature is a universally evolved one in both music and the living world. Furthermore, our network analysis revealed that Bach's harmony patterns were having the most influence on those used by other composers, followed closely by Mozart.
DOI: 10.1371/journal.pone.0142431
PubMed: 26545104
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: Pour aller vers cette notice dans l'étape Curation :000008
Links to Exploration step
pubmed:26545104Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Bach Is the Father of Harmony: Revealed by a 1/f Fluctuation Analysis across Musical Genres.</title><author><name sortKey="Wu, Dan" sort="Wu, Dan" uniqKey="Wu D" first="Dan" last="Wu">Dan Wu</name><affiliation wicri:level="1"><nlm:affiliation>Department of Biomedical Engineering, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Biomedical Engineering, School of Computer and Information Technology, Beijing Jiaotong University, Beijing</wicri:regionArea></affiliation></author><author><name sortKey="Kendrick, Keith M" sort="Kendrick, Keith M" uniqKey="Kendrick K" first="Keith M" last="Kendrick">Keith M. Kendrick</name><affiliation wicri:level="1"><nlm:affiliation>Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu</wicri:regionArea></affiliation></author><author><name sortKey="Levitin, Daniel J" sort="Levitin, Daniel J" uniqKey="Levitin D" first="Daniel J" last="Levitin">Daniel J. Levitin</name><affiliation wicri:level="1"><nlm:affiliation>Department of Psychology, McGill University, Montreal, Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>Department of Psychology, McGill University, Montreal</wicri:regionArea></affiliation></author><author><name sortKey="Li, Chaoyi" sort="Li, Chaoyi" uniqKey="Li C" first="Chaoyi" last="Li">Chaoyi Li</name><affiliation wicri:level="1"><nlm:affiliation>Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu</wicri:regionArea></affiliation></author><author><name sortKey="Yao, Dezhong" sort="Yao, Dezhong" uniqKey="Yao D" first="Dezhong" last="Yao">Dezhong Yao</name><affiliation wicri:level="1"><nlm:affiliation>Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu</wicri:regionArea></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2015">2015</date><idno type="doi">10.1371/journal.pone.0142431</idno><idno type="RBID">pubmed:26545104</idno><idno type="pmid">26545104</idno><idno type="wicri:Area/PubMed/Corpus">000008</idno><idno type="wicri:Area/PubMed/Curation">000008</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Bach Is the Father of Harmony: Revealed by a 1/f Fluctuation Analysis across Musical Genres.</title><author><name sortKey="Wu, Dan" sort="Wu, Dan" uniqKey="Wu D" first="Dan" last="Wu">Dan Wu</name><affiliation wicri:level="1"><nlm:affiliation>Department of Biomedical Engineering, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Biomedical Engineering, School of Computer and Information Technology, Beijing Jiaotong University, Beijing</wicri:regionArea></affiliation></author><author><name sortKey="Kendrick, Keith M" sort="Kendrick, Keith M" uniqKey="Kendrick K" first="Keith M" last="Kendrick">Keith M. Kendrick</name><affiliation wicri:level="1"><nlm:affiliation>Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu</wicri:regionArea></affiliation></author><author><name sortKey="Levitin, Daniel J" sort="Levitin, Daniel J" uniqKey="Levitin D" first="Daniel J" last="Levitin">Daniel J. Levitin</name><affiliation wicri:level="1"><nlm:affiliation>Department of Psychology, McGill University, Montreal, Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>Department of Psychology, McGill University, Montreal</wicri:regionArea></affiliation></author><author><name sortKey="Li, Chaoyi" sort="Li, Chaoyi" uniqKey="Li C" first="Chaoyi" last="Li">Chaoyi Li</name><affiliation wicri:level="1"><nlm:affiliation>Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu</wicri:regionArea></affiliation></author><author><name sortKey="Yao, Dezhong" sort="Yao, Dezhong" uniqKey="Yao D" first="Dezhong" last="Yao">Dezhong Yao</name><affiliation wicri:level="1"><nlm:affiliation>Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu</wicri:regionArea></affiliation></author></analytic><series><title level="j">PloS one</title><idno type="e-ISSN">1932-6203</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Harmony is a fundamental attribute of music. Close connections exist between music and mathematics since both pursue harmony and unity. In music, the consonance of notes played simultaneously partly determines our perception of harmony; associates with aesthetic responses; and influences the emotion expression. The consonance could be considered as a window to understand and analyze harmony. Here for the first time we used a 1/f fluctuation analysis to investigate whether the consonance fluctuation structure in music with a wide range of composers and genres followed the scale free pattern that has been found for pitch, melody, rhythm, human body movements, brain activity, natural images and geographical features. We then used a network graph approach to investigate which composers were the most influential both within and across genres. Our results showed that patterns of consonance in music did follow scale-free characteristics, suggesting that this feature is a universally evolved one in both music and the living world. Furthermore, our network analysis revealed that Bach's harmony patterns were having the most influence on those used by other composers, followed closely by Mozart.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="In-Data-Review"><PMID Version="1">26545104</PMID><DateCreated><Year>2015</Year><Month>11</Month><Day>07</Day></DateCreated><DateRevised><Year>2015</Year><Month>11</Month><Day>16</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN><JournalIssue CitedMedium="Internet"><Volume>10</Volume><Issue>11</Issue><PubDate><Year>2015</Year></PubDate></JournalIssue><Title>PloS one</Title><ISOAbbreviation>PLoS ONE</ISOAbbreviation></Journal><ArticleTitle>Bach Is the Father of Harmony: Revealed by a 1/f Fluctuation Analysis across Musical Genres.</ArticleTitle><Pagination><MedlinePgn>e0142431</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0142431</ELocationID><Abstract><AbstractText>Harmony is a fundamental attribute of music. Close connections exist between music and mathematics since both pursue harmony and unity. In music, the consonance of notes played simultaneously partly determines our perception of harmony; associates with aesthetic responses; and influences the emotion expression. The consonance could be considered as a window to understand and analyze harmony. Here for the first time we used a 1/f fluctuation analysis to investigate whether the consonance fluctuation structure in music with a wide range of composers and genres followed the scale free pattern that has been found for pitch, melody, rhythm, human body movements, brain activity, natural images and geographical features. We then used a network graph approach to investigate which composers were the most influential both within and across genres. Our results showed that patterns of consonance in music did follow scale-free characteristics, suggesting that this feature is a universally evolved one in both music and the living world. Furthermore, our network analysis revealed that Bach's harmony patterns were having the most influence on those used by other composers, followed closely by Mozart.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Wu</LastName><ForeName>Dan</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Department of Biomedical Engineering, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kendrick</LastName><ForeName>Keith M</ForeName><Initials>KM</Initials><AffiliationInfo><Affiliation>Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Levitin</LastName><ForeName>Daniel J</ForeName><Initials>DJ</Initials><AffiliationInfo><Affiliation>Department of Psychology, McGill University, Montreal, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Li</LastName><ForeName>Chaoyi</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Center for Life Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Yao</LastName><ForeName>Dezhong</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2015</Year><Month>11</Month><Day>06</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>PLoS One</MedlineTA><NlmUniqueID>101285081</NlmUniqueID><ISSNLinking>1932-6203</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>J Exp Psychol Hum Percept Perform. 2014 Feb;40(1):40-9</RefSource><PMID Version="1">23815480</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Proc Natl Acad Sci U S A. 2013 Jan 2;110(1):70-5</RefSource><PMID Version="1">23248314</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Proc Natl Acad Sci U S A. 2014 Sep 9;111(36):12974-9</RefSource><PMID Version="1">25114228</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Acoust Soc Am. 2014 Oct;136(4):EL256-62</RefSource><PMID Version="1">25324107</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>PLoS One. 2014;9(12):e112776</RefSource><PMID Version="1">25489852</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Exp Brain Res. 2015 May;233(5):1585-95</RefSource><PMID Version="1">25725774</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Ann N Y Acad Sci. 2001 Jun;930:92-116</RefSource><PMID Version="1">11458869</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Comput Biol Med. 2002 Jan;32(1):37-47</RefSource><PMID Version="1">11738639</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Ann N Y Acad Sci. 2005 Dec;1060:29-49</RefSource><PMID Version="1">16597747</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Cognition. 2006 May;100(1):1-32</RefSource><PMID Version="1">16487953</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Science. 2006 Jul 7;313(5783):72-4</RefSource><PMID Version="1">16825563</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Cogn Neurosci. 2006 Aug;18(8):1380-93</RefSource><PMID Version="1">16859422</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Phys Rev Lett. 2008 Mar 21;100(11):118703</RefSource><PMID Version="1">18517839</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Chaos. 2008 Dec;18(4):043105</RefSource><PMID Version="1">19123615</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>PLoS One. 2009;4(6):e5915</RefSource><PMID Version="1">19526057</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Trends Cogn Sci. 2010 Mar;14(3):131-7</RefSource><PMID Version="1">20153242</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Neuron. 2010 May 13;66(3):353-69</RefSource><PMID Version="1">20471349</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Apr;81(4 Pt 2):046106</RefSource><PMID Version="1">20481785</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Curr Biol. 2010 Jun 8;20(11):1035-41</RefSource><PMID Version="1">20493704</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Neurosci. 2010 Nov 24;30(47):15969-80</RefSource><PMID Version="1">21106835</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Neurosci Lett. 2011 Jan 13;488(1):101-5</RefSource><PMID Version="1">21073923</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>PLoS One. 2011;6(8):e22584</RefSource><PMID Version="1">21850231</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Neurosci. 2011 Sep 28;31(39):13786-95</RefSource><PMID Version="1">21957241</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>PLoS One. 2011;6(10):e26457</RefSource><PMID Version="1">22046289</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Proc Natl Acad Sci U S A. 2012 Mar 6;109(10):3716-20</RefSource><PMID Version="1">22355125</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Proc Natl Acad Sci U S A. 2012 Jul 24;109(30):12081-6</RefSource><PMID Version="1">22711832</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>PLoS One. 2012;7(11):e49773</RefSource><PMID Version="1">23166768</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Sci Rep. 2013;3:2028</RefSource><PMID Version="1">23778307</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>PLoS One. 2013;8(3):e58710</RefSource><PMID Version="1">23544047</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Neuropsychologia. 2014 May;58:23-32</RefSource><PMID Version="1">24690415</PMID></CommentsCorrections></CommentsCorrectionsList><OtherID Source="NLM">PMC4636347</OtherID></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="ecollection"><Year>2015</Year><Month></Month><Day></Day></PubMedPubDate><PubMedPubDate PubStatus="received"><Year>2015</Year><Month>3</Month><Day>29</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2015</Year><Month>10</Month><Day>21</Day></PubMedPubDate><PubMedPubDate PubStatus="epublish"><Year>2015</Year><Month>11</Month><Day>6</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2015</Year><Month>11</Month><Day>7</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2015</Year><Month>11</Month><Day>7</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2015</Year><Month>11</Month><Day>7</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="doi">10.1371/journal.pone.0142431</ArticleId><ArticleId IdType="pii">PONE-D-15-11978</ArticleId><ArticleId IdType="pubmed">26545104</ArticleId><ArticleId IdType="pmc">PMC4636347</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Musique/explor/MozartV1/Data/PubMed/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000008 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PubMed/Curation/biblio.hfd -nk 000008 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Musique
|area= MozartV1
|flux= PubMed
|étape= Curation
|type= RBID
|clé= pubmed:26545104
|texte= Bach Is the Father of Harmony: Revealed by a 1/f Fluctuation Analysis across Musical Genres.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Curation/RBID.i -Sk "pubmed:26545104" \
| HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Curation/biblio.hfd \
| NlmPubMed2Wicri -a MozartV1
| This area was generated with Dilib version V0.6.20. |  |