Trajectories of brain volumes in young children are associated with maternal education

Changbo Zhu, Yaqing Chen, Hans Georg Müller, Jane Ling Wang, Jonathan O'Muircheartaigh, Muriel Bruchhage, Sean Deoni

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Brain growth in early childhood is reflected in the evolution of proportional cerebrospinal fluid volumes (pCSF), grey matter (pGM), and white matter (pWM). We study brain development as reflected in the relative fractions of these three tissues for a cohort of 388 children that were longitudinally followed between the ages of 18 and 96 months. We introduce statistical methodology (Riemannian Principal Analysis through Conditional Expectation, RPACE) that addresses major challenges that are of general interest for the analysis of longitudinal neuroimaging data, including the sparsity of the longitudinal observations over time and the compositional structure of the relative brain volumes. Applying the RPACE methodology, we find that longitudinal growth as reflected by tissue composition differs significantly for children of mothers with higher and lower maternal education levels.

Original languageEnglish (US)
JournalHuman Brain Mapping
DOIs
StateAccepted/In press - 2023

All Science Journal Classification (ASJC) codes

  • Anatomy
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Clinical Neurology

Keywords

  • brain volumes
  • cerebrospinal fluid
  • compositional data
  • functional principal component analysis
  • grey matter
  • longitudinal brain development
  • white matter

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