Change-point analysis data of neonatal diffusion tensor MRI in preterm and term-born infants

Dan Wu, Linda Chang, Kentaro Akazawa, Kumiko Oishi, Jon Skranes, Thomas Ernst, Kenichi Oishi

Research output: Contribution to journalArticle

Abstract

The 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.

Original languageEnglish (US)
Pages (from-to)453-458
Number of pages6
JournalData in Brief
Volume12
DOIs
StatePublished - Jun 1 2017

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infant
data analysis
brain

Keywords

  • Axial diffusivity
  • Change-point analysis
  • Neonatal brain MRI
  • Preterm-born infants
  • Radial diffusivity

ASJC Scopus subject areas

  • Education
  • General

Cite this

Change-point analysis data of neonatal diffusion tensor MRI in preterm and term-born infants. / Wu, Dan; Chang, Linda; Akazawa, Kentaro; Oishi, Kumiko; Skranes, Jon; Ernst, Thomas; Oishi, Kenichi.

In: Data in Brief, Vol. 12, 01.06.2017, p. 453-458.

Research output: Contribution to journalArticle

Wu, Dan ; Chang, Linda ; Akazawa, Kentaro ; Oishi, Kumiko ; Skranes, Jon ; Ernst, Thomas ; Oishi, Kenichi. / Change-point analysis data of neonatal diffusion tensor MRI in preterm and term-born infants. In: Data in Brief. 2017 ; Vol. 12. pp. 453-458.
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AU - Oishi, Kenichi

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