Patricia Ellen Grant

This study reconstructs the development of short association fibers in the human fetal brain using diffusion MRI and histology validation, revealing their maturation patterns and implications for neurodevelopmental disorders.

The paper estimates age-related changes in metabolite relaxation times in pediatric thalamus using MRS and provides linear equations for age-specific correction.

This paper introduces a deep learning model to detect sulcal pattern deviations in neurological disorders using a large cohort of typically developing individuals.

This study maps fetal brain structural connectivity using diffusion MRI, revealing developmental patterns and introducing a new method for creating age-specific connectome templates.

This paper develops and validates Thalia, a high-resolution pediatric computational model of a 10-month-old infant using MRI data, validated against expert review and anatomical data.

This study uses fetal MRI to examine subplate development in congenital heart disease, finding global reductions and regional deviations linked to neurodevelopmental outcomes.

The paper uses fetal MRI to find reduced cortical surface area in fetuses later diagnosed with ASD compared to controls.

This paper quantifies regional subplate morphology in fetal brains using MRI, showing regional differences, growth patterns, and hemispheric asymmetries that suggest organized developmental programs.

This study uses metabolic analysis to show that hypothermia reverses oxidative phosphorylation uncoupling caused by neonatal brain hypoxia-ischemia, preventing secondary energy failure.

The paper introduces dGAMLSS, a distributed algorithm for fitting GAMLSS models to construct population reference charts without sharing patient data.

This study identifies two ASD subgroups with distinct brain morphology using cross-cultural datasets, highlighting key brain regions associated with subgroup characteristics and autistic traits.

The paper examines microstructural changes in fetal brain compartments before cortical folding begins, finding that anisotropy decreases in subplate and cortical plate regions prior to sulcal pit formation.

This study shows that adding a brain age biomarker improves predictions of neurocognitive outcomes in CHD patients using demographic, socioeconomic, and genetic factors.

The paper introduces a public dataset of neonatal brain MRIs with expert annotations for HIE-related lesions to improve segmentation methods for small, diffuse lesions.

The paper introduces brain charts as a standardized resource for benchmarking brain morphology across the human lifespan using MRI data from a large and diverse cohort.

This study shows that infant white matter organization predicts kindergarten language abilities, specifically phonological awareness and vocabulary knowledge.

This study shows that infant functional connectivity patterns predict language and pre-literacy skills at age 6.5, independent of environmental factors and early language development.

The paper introduces a system that uses inverse Dijkstra-based optimization to compactly describe sulcal trajectories on human cortical surfaces using binary feature vectors.