Differential development of human brain white matter tracts.

Neuroscience is increasingly focusing on developmental factors related to human structural and functional connectivity. Unfortunately, to date, diffusion-based imaging approaches have only contributed modestly to these broad objectives, despite the promise of diffusion-based tractography. Here, we r...

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Autores principales:	Davide Imperati, Stan Colcombe, Clare Kelly, Adriana Di Martino, Juan Zhou, F Xavier Castellanos, Michael P Milham
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2011
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b7b54dcd2a7f43709d16bce9a47adebb
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spelling	oai:doaj.org-article:b7b54dcd2a7f43709d16bce9a47adebb2021-11-18T06:46:57ZDifferential development of human brain white matter tracts.1932-620310.1371/journal.pone.0023437https://doaj.org/article/b7b54dcd2a7f43709d16bce9a47adebb2011-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21909351/?tool=EBIhttps://doaj.org/toc/1932-6203Neuroscience is increasingly focusing on developmental factors related to human structural and functional connectivity. Unfortunately, to date, diffusion-based imaging approaches have only contributed modestly to these broad objectives, despite the promise of diffusion-based tractography. Here, we report a novel data-driven approach to detect similarities and differences among white matter tracts with respect to their developmental trajectories, using 64-direction diffusion tensor imaging. Specifically, using a cross-sectional sample comprising 144 healthy individuals (7 to 48 years old), we applied k-means cluster analysis to separate white matter voxels based on their age-related trajectories of fractional anisotropy. Optimal solutions included 5-, 9- and 14-clusters. Our results recapitulate well-established tracts (e.g., internal and external capsule, optic radiations, corpus callosum, cingulum bundle, cerebral peduncles) and subdivisions within tracts (e.g., corpus callosum, internal capsule). For all but one tract identified, age-related trajectories were curvilinear (i.e., inverted 'U-shape'), with age-related increases during childhood and adolescence followed by decreases in middle adulthood. Identification of peaks in the trajectories suggests that age-related losses in fractional anisotropy occur as early as 23 years of age, with mean onset at 30 years of age. Our findings demonstrate that data-driven analytic techniques may be fruitfully applied to extant diffusion tensor imaging datasets in normative and neuropsychiatric samples.Davide ImperatiStan ColcombeClare KellyAdriana Di MartinoJuan ZhouF Xavier CastellanosMichael P MilhamPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 6, Iss 8, p e23437 (2011)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Davide Imperati Stan Colcombe Clare Kelly Adriana Di Martino Juan Zhou F Xavier Castellanos Michael P Milham Differential development of human brain white matter tracts.
description	Neuroscience is increasingly focusing on developmental factors related to human structural and functional connectivity. Unfortunately, to date, diffusion-based imaging approaches have only contributed modestly to these broad objectives, despite the promise of diffusion-based tractography. Here, we report a novel data-driven approach to detect similarities and differences among white matter tracts with respect to their developmental trajectories, using 64-direction diffusion tensor imaging. Specifically, using a cross-sectional sample comprising 144 healthy individuals (7 to 48 years old), we applied k-means cluster analysis to separate white matter voxels based on their age-related trajectories of fractional anisotropy. Optimal solutions included 5-, 9- and 14-clusters. Our results recapitulate well-established tracts (e.g., internal and external capsule, optic radiations, corpus callosum, cingulum bundle, cerebral peduncles) and subdivisions within tracts (e.g., corpus callosum, internal capsule). For all but one tract identified, age-related trajectories were curvilinear (i.e., inverted 'U-shape'), with age-related increases during childhood and adolescence followed by decreases in middle adulthood. Identification of peaks in the trajectories suggests that age-related losses in fractional anisotropy occur as early as 23 years of age, with mean onset at 30 years of age. Our findings demonstrate that data-driven analytic techniques may be fruitfully applied to extant diffusion tensor imaging datasets in normative and neuropsychiatric samples.
format	article
author	Davide Imperati Stan Colcombe Clare Kelly Adriana Di Martino Juan Zhou F Xavier Castellanos Michael P Milham
author_facet	Davide Imperati Stan Colcombe Clare Kelly Adriana Di Martino Juan Zhou F Xavier Castellanos Michael P Milham
author_sort	Davide Imperati
title	Differential development of human brain white matter tracts.
title_short	Differential development of human brain white matter tracts.
title_full	Differential development of human brain white matter tracts.
title_fullStr	Differential development of human brain white matter tracts.
title_full_unstemmed	Differential development of human brain white matter tracts.
title_sort	differential development of human brain white matter tracts.
publisher	Public Library of Science (PLoS)
publishDate	2011
url	https://doaj.org/article/b7b54dcd2a7f43709d16bce9a47adebb
work_keys_str_mv	AT davideimperati differentialdevelopmentofhumanbrainwhitemattertracts AT stancolcombe differentialdevelopmentofhumanbrainwhitemattertracts AT clarekelly differentialdevelopmentofhumanbrainwhitemattertracts AT adrianadimartino differentialdevelopmentofhumanbrainwhitemattertracts AT juanzhou differentialdevelopmentofhumanbrainwhitemattertracts AT fxaviercastellanos differentialdevelopmentofhumanbrainwhitemattertracts AT michaelpmilham differentialdevelopmentofhumanbrainwhitemattertracts
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Differential development of human brain white matter tracts.

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