Related Experiment Video
Updated: Aug 7, 2025

Profiling Maternal Behavior Responses During Whole-Brain Imaging
Published on: January 24, 2025
Trajectories of brain volumes in young children are associated with maternal education
Changbo Zhu1, Yaqing Chen2, Hans-Georg Müller3
1Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, South Bend, Indiana, USA.
Insights
Child brain development, measured by proportional cerebrospinal fluid (pCSF), grey matter (pGM), and white matter (pWM) volumes, varies with maternal education. New statistical methods analyze this longitudinal neuroimaging data.
Area of Science:
- Neuroscience
- Developmental Biology
- Biostatistics
Background:
- Childhood brain development involves changes in proportional cerebrospinal fluid (pCSF), grey matter (pGM), and white matter (pWM) volumes.
- Analyzing longitudinal neuroimaging data presents challenges such as sparse observations and compositional data structures.
Purpose of the Study:
- To investigate brain tissue composition changes during early childhood (18-96 months).
- To introduce and apply a novel statistical methodology for analyzing longitudinal neuroimaging data.
Main Methods:
- Longitudinal cohort study of 388 children from 18 to 96 months.
- Development and application of Riemannian Principal Analysis through Conditional Expectation (RPACE) methodology.
- Analysis of proportional brain tissue volumes (pCSF, pGM, pWM).
Main Results:
- The RPACE methodology effectively addresses challenges in longitudinal neuroimaging data analysis.
- Significant differences in longitudinal brain tissue composition growth were observed.
- Maternal education level was found to be a significant factor influencing these developmental trajectories.
Conclusions:
- Maternal education level is associated with distinct patterns of early childhood brain development.
- The RPACE methodology offers a robust approach for analyzing complex longitudinal neuroimaging data.
- Further research can explore the specific mechanisms linking maternal education and brain development.
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.
Related Concept Videos
Biological Influences on Intelligence
Environmental Influences on Intelligence
Regression Toward the Mean
Brain Imaging
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
Longitudinal Studies
Information Processing Approach

