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

doi:10.1016/j.dib.2017.04.020

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

Data Brief. 2017 Apr 20:12:453-458. doi: 10.1016/j.dib.2017.04.020. eCollection 2017 Jun.

Authors

Dan Wu¹, Linda Chang², Kentaro Akazawa¹, Kumiko Oishi³, Jon Skranes⁴, Thomas Ernst², Kenichi Oishi¹

Affiliations

¹ Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
² Department of Medicine, School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA.
³ Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
⁴ Department of Laboratory Medicine, Children׳s and Women׳s Health, Norwegian University of Science and Technology, Trondheim, Norway.

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.

Keywords: Axial diffusivity; Change-point analysis; Neonatal brain MRI; Preterm-born infants; Radial diffusivity.

Abstract

Grants and funding