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dc.contributor.authorWu, Dan
dc.contributor.authorChang, Linda
dc.contributor.authorAkazawa, Kentaro
dc.contributor.authorOishi, Kumiko
dc.contributor.authorSkranes, Jon Sverre
dc.contributor.authorErnst, Thomas
dc.contributor.authorOishi, Kenichi
dc.date.accessioned2018-06-27T12:26:26Z
dc.date.available2018-06-27T12:26:26Z
dc.date.created2017-10-19T14:36:18Z
dc.date.issued2017
dc.identifier.citationData in Brief. 2017, 12, 453-458.nb_NO
dc.identifier.issn2352-3409
dc.identifier.urihttp://hdl.handle.net/11250/2503321
dc.description.abstractThe data presented in this article are related to the research article entitled “Mapping the Critical Gestational Age at Birth that Alters Brain Development in Preterm-born Infants using Multi-Modal MRI” (Wu et al., 2017) [1]. Brain immaturity at birth poses critical neurological risks in the preterm-born infants. We used a novel change-point model to analyze the critical gestational age at birth (GAB) that could affect postnatal development, based on diffusion tensor MRI (DTI) acquired from 43 preterm and 43 term-born infants in 126 brain regions. In the corresponding research article, we presented change-point analysis of fractional anisotropy (FA) and mean diffusivities (MD) measurements in these infants. In this article, we offered the relative changes of axonal and radial diffusivities (AD and RD) in relation to the change of FA and FA-based change-points, and we also provided the AD- and RD-based change-point results.nb_NO
dc.language.isoengnb_NO
dc.publisherElsevier Inc.nb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleChange-point analysis data of neonatal diffusion tensor MRI in preterm and term-born infantsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber453-458nb_NO
dc.source.volume12nb_NO
dc.source.journalData in Briefnb_NO
dc.identifier.doi10.1016/j.dib.2017.04.020
dc.identifier.cristin1505985
dc.description.localcode© 2017 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).nb_NO
cristin.unitcode194,65,15,0
cristin.unitnameInstitutt for klinisk og molekylær medisin
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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