Christopher D. Smyser

The paper analyzes age-related changes in neurometabolite concentrations in infants using 1H-MRS data from the HBCD study, finding significant increases in some metabolites and decreases in others.

The paper examines how prenatal social disadvantage and psychosocial stress affect DNA methylation in children and their potential role in psychopathology.

The paper develops an age-appropriate functional reference to estimate individualized brain networks in young children, revealing early network organization and stability.

The paper uses resting-state fMRI to study subcortical network organization in neonates, children, and adults, finding that the anterior-posterior organization is present at birth but somatomotor network representations are larger in neonates.

BIBSNet is a deep learning model for infant brain segmentation in MRI scans that outperforms JLF in accuracy and speed, with compatible outputs for further analysis.

The paper describes improvements in diffusion MRI processing for the HBCD study, introducing new software and observing developmental patterns in brain data.

The paper extends fMRIPrep to handle MRI data from infancy to old age, demonstrating high-quality preprocessing across a wide age range.

This study parcellates the cerebral cortex in toddlers using functional connectivity and shows high reproducibility across ages, with area boundaries more similar to adults than neonates.

The paper introduces Baby Open Brains (BOBs), an open-source repository of manually curated infant brain segmentations to improve reproducibility in neuroimaging research.

The paper examines how prenatal socioeconomic status influences cortical network development from birth to three years, finding accelerated segregation in lower-SES groups and links to language abilities.

The paper examines how prenatal social disadvantage affects cognitive and language abilities at age 2, showing that parenting behaviors mediate these effects only in families with lower levels of disadvantage.

XCP-D provides a standardized, reproducible post-processing pipeline for fMRI data, supporting multiple pre-processing pipelines and BIDS best practices.

This paper develops a neonatal-specific cortical parcellation based on functional connectivity, validated across multiple datasets.

The paper reveals that motor cortex contains inter-effector regions connected to the Cingulo-opercular network, alternating with effector-specific areas, suggesting a dual system for motor control and whole-body coordination.

The paper uses NMF on MRI data to identify white matter maturation patterns in newborns, showing distinct microstructural and histological features.

This study shows that real-time motion monitoring with FIRMM software improves the quality and usability of fMRI data in infants by reducing motion artifacts.

This paper introduces a motion detection method for HD-DOT that improves spatial similarity to fMRI by using a global variance of temporal derivatives metric and motion censoring.

This paper estimates local cortical growth patterns in preterm infants using aMSM, revealing regional and temporal differences in expansion linked to folding and injury detection.