Probabilistic diffusion tractography reveals improvement of structural network in musicians.

<h4>Purpose</h4>Musicians experience a large amount of information transfer and integration of complex sensory, motor, and auditory processes when training and playing musical instruments. Therefore, musicians are a useful model in which to investigate neural adaptations in the brain.<...

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Autores principales:	Jianfu Li, Cheng Luo, Yueheng Peng, Qiankun Xie, Jinnan Gong, Li Dong, Yongxiu Lai, Hong Li, Dezhong Yao
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/0fb558d7330b4489b2bbb6be4d59585c
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spelling	oai:doaj.org-article:0fb558d7330b4489b2bbb6be4d59585c2021-11-25T06:03:08ZProbabilistic diffusion tractography reveals improvement of structural network in musicians.1932-620310.1371/journal.pone.0105508https://doaj.org/article/0fb558d7330b4489b2bbb6be4d59585c2014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/25157896/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Purpose</h4>Musicians experience a large amount of information transfer and integration of complex sensory, motor, and auditory processes when training and playing musical instruments. Therefore, musicians are a useful model in which to investigate neural adaptations in the brain.<h4>Methods</h4>Here, based on diffusion-weighted imaging, probabilistic tractography was used to determine the architecture of white matter anatomical networks in musicians and non-musicians. Furthermore, the features of the white matter networks were analyzed using graph theory.<h4>Results</h4>Small-world properties of the white matter network were observed in both groups. Compared with non-musicians, the musicians exhibited significantly increased connectivity strength in the left and right supplementary motor areas, the left calcarine fissure and surrounding cortex and the right caudate nucleus, as well as a significantly larger weighted clustering coefficient in the right olfactory cortex, the left medial superior frontal gyrus, the right gyrus rectus, the left lingual gyrus, the left supramarginal gyrus, and the right pallidum. Furthermore, there were differences in the node betweenness centrality in several regions. However, no significant differences in topological properties were observed at a global level.<h4>Conclusions</h4>We illustrated preliminary findings to extend the network level understanding of white matter plasticity in musicians who have had long-term musical training. These structural, network-based findings may indicate that musicians have enhanced information transmission efficiencies in local white matter networks that are related to musical training.Jianfu LiCheng LuoYueheng PengQiankun XieJinnan GongLi DongYongxiu LaiHong LiDezhong YaoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 8, p e105508 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jianfu Li Cheng Luo Yueheng Peng Qiankun Xie Jinnan Gong Li Dong Yongxiu Lai Hong Li Dezhong Yao Probabilistic diffusion tractography reveals improvement of structural network in musicians.
description	<h4>Purpose</h4>Musicians experience a large amount of information transfer and integration of complex sensory, motor, and auditory processes when training and playing musical instruments. Therefore, musicians are a useful model in which to investigate neural adaptations in the brain.<h4>Methods</h4>Here, based on diffusion-weighted imaging, probabilistic tractography was used to determine the architecture of white matter anatomical networks in musicians and non-musicians. Furthermore, the features of the white matter networks were analyzed using graph theory.<h4>Results</h4>Small-world properties of the white matter network were observed in both groups. Compared with non-musicians, the musicians exhibited significantly increased connectivity strength in the left and right supplementary motor areas, the left calcarine fissure and surrounding cortex and the right caudate nucleus, as well as a significantly larger weighted clustering coefficient in the right olfactory cortex, the left medial superior frontal gyrus, the right gyrus rectus, the left lingual gyrus, the left supramarginal gyrus, and the right pallidum. Furthermore, there were differences in the node betweenness centrality in several regions. However, no significant differences in topological properties were observed at a global level.<h4>Conclusions</h4>We illustrated preliminary findings to extend the network level understanding of white matter plasticity in musicians who have had long-term musical training. These structural, network-based findings may indicate that musicians have enhanced information transmission efficiencies in local white matter networks that are related to musical training.
format	article
author	Jianfu Li Cheng Luo Yueheng Peng Qiankun Xie Jinnan Gong Li Dong Yongxiu Lai Hong Li Dezhong Yao
author_facet	Jianfu Li Cheng Luo Yueheng Peng Qiankun Xie Jinnan Gong Li Dong Yongxiu Lai Hong Li Dezhong Yao
author_sort	Jianfu Li
title	Probabilistic diffusion tractography reveals improvement of structural network in musicians.
title_short	Probabilistic diffusion tractography reveals improvement of structural network in musicians.
title_full	Probabilistic diffusion tractography reveals improvement of structural network in musicians.
title_fullStr	Probabilistic diffusion tractography reveals improvement of structural network in musicians.
title_full_unstemmed	Probabilistic diffusion tractography reveals improvement of structural network in musicians.
title_sort	probabilistic diffusion tractography reveals improvement of structural network in musicians.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/0fb558d7330b4489b2bbb6be4d59585c
work_keys_str_mv	AT jianfuli probabilisticdiffusiontractographyrevealsimprovementofstructuralnetworkinmusicians AT chengluo probabilisticdiffusiontractographyrevealsimprovementofstructuralnetworkinmusicians AT yuehengpeng probabilisticdiffusiontractographyrevealsimprovementofstructuralnetworkinmusicians AT qiankunxie probabilisticdiffusiontractographyrevealsimprovementofstructuralnetworkinmusicians AT jinnangong probabilisticdiffusiontractographyrevealsimprovementofstructuralnetworkinmusicians AT lidong probabilisticdiffusiontractographyrevealsimprovementofstructuralnetworkinmusicians AT yongxiulai probabilisticdiffusiontractographyrevealsimprovementofstructuralnetworkinmusicians AT hongli probabilisticdiffusiontractographyrevealsimprovementofstructuralnetworkinmusicians AT dezhongyao probabilisticdiffusiontractographyrevealsimprovementofstructuralnetworkinmusicians
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Probabilistic diffusion tractography reveals improvement of structural network in musicians.

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