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

Dan Wu1, Linda Chang2, Kentaro Akazawa1

  • 1Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Data in Brief
|May 19, 2017
PubMed

Insights

This study identifies critical gestational ages at birth (GAB) impacting preterm infant brain development using diffusion tensor imaging (DTI). Findings reveal how specific GABs alter brain microstructure, offering insights into neurological risks.

Area of Science:

  • Neuroscience
  • Medical Imaging
  • Developmental Pediatrics

Background:

  • Preterm birth poses significant neurological risks due to incomplete brain development.
  • Understanding critical developmental windows is crucial for predicting and mitigating adverse outcomes in preterm infants.

Purpose of the Study:

  • To identify critical gestational ages at birth (GAB) that influence postnatal brain development in preterm infants.
  • To analyze the impact of GAB on brain microstructure using diffusion tensor imaging (DTI) metrics.

Main Methods:

  • Utilized a novel change-point model on DTI data from 43 preterm and 43 term-born infants.
  • Analyzed fractional anisotropy (FA), mean diffusivity (MD), axonal diffusivity (AD), and radial diffusivity (RD) in 126 brain regions.
  • Correlated diffusivity changes with FA-based change-points to pinpoint critical GABs.

Main Results:

  • Presented relative changes in AD and RD concerning FA changes and FA-based change-points.
  • Provided AD- and RD-based change-point results, complementing previous FA and MD findings.
  • Identified specific gestational age thresholds affecting white matter development in preterm infants.

Conclusions:

  • The study provides a detailed mapping of critical gestational ages at birth affecting brain development in preterm infants.
  • Findings enhance understanding of neurological risks associated with preterm birth and inform potential interventions.
  • Multi-modal DTI analysis offers valuable insights into the timing of brain maturation and vulnerability.