A. James Barkovich

This paper uses a graph convolutional neural network to predict brain age in preterm neonates, showing it outperforms other methods and links brain age to future neurodevelopmental outcomes.

This paper introduces a robust T1 MRI cortical surface pipeline for neonatal brains and evaluates it across multiple datasets, showing high accuracy and reproducibility.

This study uses MRI to analyze cyto/myeloarchitectural changes in preterm neonates' cortical gray matter and white matter, identifying spatiotemporal patterns and associations with developmental outcomes.

This study identifies ATP1A3 variants in children with polymicrogyria and maps ATP1A3 expression patterns in human neocortex development using single-cell RNA sequencing.

This study identifies DDX3X mutations as causing neurodevelopmental disorders by disrupting RNA metabolism and neurogenesis during fetal cortical development.

The paper identifies a genetic variant near CXCR4 associated with increased risk for PSP and PD, showing dysregulation of CXCR4 and microglia-related genes in neurodegenerative diseases.