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Article: Quantitative tract-based white matter development from birth to age 2years

TitleQuantitative tract-based white matter development from birth to age 2years
Authors
KeywordsAxonal myelination
Diffusion properties
DTI atlas
Early brain development
Fiber tracking
Functional regression analysis
White matter maturation
Issue Date2012
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/ynimg
Citation
Neuroimage, 2012, v. 61 n. 3, p. 542-557 How to Cite?
AbstractFew large-scale studies have been done to characterize the normal human brain white matter growth in the first years of life. We investigated white matter maturation patterns in major fiber pathways in a large cohort of healthy young children from birth to age two using diffusion parameters fractional anisotropy (FA), radial diffusivity (RD) and axial diffusivity (RD). Ten fiber pathways, including commissural, association and projection tracts, were examined with tract-based analysis, providing more detailed and continuous spatial developmental patterns compared to conventional ROI based methods. All DTI data sets were transformed to a population specific atlas with a group-wise longitudinal large deformation diffeomorphic registration approach. Diffusion measurements were analyzed along the major fiber tracts obtained in the atlas space. All fiber bundles show increasing FA values and decreasing radial and axial diffusivities during development in the first 2. years of life. The changing rates of the diffusion indices are faster in the first year than the second year for all tracts. RD and FA show larger percentage changes in the first and second years than AD. The gender effects on the diffusion measures are small. Along different spatial locations of fiber tracts, maturation does not always follow the same speed. Temporal and spatial diffusion changes near cortical regions are in general smaller than changes in central regions. Overall developmental patterns revealed in our study confirm the general rules of white matter maturation. This work shows a promising framework to study and analyze white matter maturation in a tract-based fashion. Compared to most previous studies that are ROI-based, our approach has the potential to discover localized development patterns associated with fiber tracts of interest. © 2012 Elsevier Inc.
Persistent Identifierhttp://hdl.handle.net/10722/179556
ISSN
2023 Impact Factor: 4.7
2023 SCImago Journal Rankings: 2.436
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorGeng, Xen_US
dc.contributor.authorGouttard, Sen_US
dc.contributor.authorSharma, Aen_US
dc.contributor.authorGu, Hen_US
dc.contributor.authorStyner, Men_US
dc.contributor.authorLin, Wen_US
dc.contributor.authorGerig, Gen_US
dc.contributor.authorGilmore, JHen_US
dc.date.accessioned2012-12-19T09:58:19Z-
dc.date.available2012-12-19T09:58:19Z-
dc.date.issued2012en_US
dc.identifier.citationNeuroimage, 2012, v. 61 n. 3, p. 542-557en_US
dc.identifier.issn1053-8119en_US
dc.identifier.urihttp://hdl.handle.net/10722/179556-
dc.description.abstractFew large-scale studies have been done to characterize the normal human brain white matter growth in the first years of life. We investigated white matter maturation patterns in major fiber pathways in a large cohort of healthy young children from birth to age two using diffusion parameters fractional anisotropy (FA), radial diffusivity (RD) and axial diffusivity (RD). Ten fiber pathways, including commissural, association and projection tracts, were examined with tract-based analysis, providing more detailed and continuous spatial developmental patterns compared to conventional ROI based methods. All DTI data sets were transformed to a population specific atlas with a group-wise longitudinal large deformation diffeomorphic registration approach. Diffusion measurements were analyzed along the major fiber tracts obtained in the atlas space. All fiber bundles show increasing FA values and decreasing radial and axial diffusivities during development in the first 2. years of life. The changing rates of the diffusion indices are faster in the first year than the second year for all tracts. RD and FA show larger percentage changes in the first and second years than AD. The gender effects on the diffusion measures are small. Along different spatial locations of fiber tracts, maturation does not always follow the same speed. Temporal and spatial diffusion changes near cortical regions are in general smaller than changes in central regions. Overall developmental patterns revealed in our study confirm the general rules of white matter maturation. This work shows a promising framework to study and analyze white matter maturation in a tract-based fashion. Compared to most previous studies that are ROI-based, our approach has the potential to discover localized development patterns associated with fiber tracts of interest. © 2012 Elsevier Inc.en_US
dc.languageengen_US
dc.publisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/ynimgen_US
dc.relation.ispartofNeuroImageen_US
dc.subjectAxonal myelination-
dc.subjectDiffusion properties-
dc.subjectDTI atlas-
dc.subjectEarly brain development-
dc.subjectFiber tracking-
dc.subjectFunctional regression analysis-
dc.subjectWhite matter maturation-
dc.subject.meshAging - Physiologyen_US
dc.subject.meshAnisotropyen_US
dc.subject.meshApgar Scoreen_US
dc.subject.meshBrain - Anatomy & Histology - Growth & Developmenten_US
dc.subject.meshBrain Mappingen_US
dc.subject.meshData Interpretation, Statisticalen_US
dc.subject.meshDiffusion Tensor Imagingen_US
dc.subject.meshEducational Statusen_US
dc.subject.meshFemaleen_US
dc.subject.meshHumansen_US
dc.subject.meshImage Processing, Computer-Assisteden_US
dc.subject.meshInfanten_US
dc.subject.meshInfant, Newbornen_US
dc.subject.meshLongitudinal Studiesen_US
dc.subject.meshMaleen_US
dc.subject.meshMothersen_US
dc.subject.meshNerve Fibers - Physiologyen_US
dc.subject.meshNeural Pathways - Anatomy & Histology - Growth & Developmenten_US
dc.subject.meshReference Valuesen_US
dc.subject.meshRegression Analysisen_US
dc.subject.meshSex Characteristicsen_US
dc.titleQuantitative tract-based white matter development from birth to age 2yearsen_US
dc.typeArticleen_US
dc.identifier.emailGeng, X: gengx@hku.hken_US
dc.identifier.authorityGeng, X=rp01678en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/j.neuroimage.2012.03.057en_US
dc.identifier.pmid22510254-
dc.identifier.scopuseid_2-s2.0-84861187757en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84861187757&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume61en_US
dc.identifier.issue3en_US
dc.identifier.spage542en_US
dc.identifier.epage557en_US
dc.identifier.isiWOS:000304729800004-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridGeng, X=34771310000en_US
dc.identifier.scopusauthoridGouttard, S=8436715100en_US
dc.identifier.scopusauthoridSharma, A=23101260100en_US
dc.identifier.scopusauthoridGu, H=7402682975en_US
dc.identifier.scopusauthoridStyner, M=55102069400en_US
dc.identifier.scopusauthoridLin, W=55192508700en_US
dc.identifier.scopusauthoridGerig, G=7007035143en_US
dc.identifier.scopusauthoridGilmore, JH=7102107297en_US
dc.identifier.citeulike10687426-
dc.identifier.issnl1053-8119-

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