Kurt G. Schilling

The paper generates lifespan normative charts for cervical spinal cord morphometry using MRI data, revealing non-linear changes and sex differences across ages 0-100.

The paper develops an automated pipeline for segmenting and parcellating brainstem and subcortical white matter pathways using diffusion MRI data.

This study identifies genetic loci and pathways associated with limbic white matter microstructure in aging and Alzheimer's Disease using multi-cohort diffusion MRI and bulk RNA-seq data.

This study characterizes white matter asymmetry across the lifespan using a large dataset, revealing dynamic changes in asymmetry patterns with age.

The paper develops normative reference charts for white matter microstructure and macrostructure across the lifespan using diffusion MRI data from 50 studies.

This study evaluates phase-encoding correction strategies for 7T diffusion MRI to improve geometric accuracy and reproducibility, finding that 4-way PE acquisitions provide the best results.

The paper evaluates the variability of GAMLSS-based brain charts using analytic and empirical methods, finding low coefficient of variation across most white matter features.

This study maps short-range prefrontal connections in the human brain using tractography informed by primate histology, achieving high precision and accuracy.

This paper introduces a framework for longitudinal quantitative streamline tractography that reduces spurious changes in white matter connectivity estimates by fixing trajectories and varying density weights between sessions.

The paper introduces a subject-specific cortical folding model that generates fiber orientations from cortical geometry, validated with fetal MRI and applied to adult data without diffusion inputs or machine learning.

The paper shows that white-matter BOLD signals mediate time-varying cortico-cortical functional connectivity, with temporal variability in WM signals correlating with dynamic GM-GM connectivity.

Radial diffusivity asymmetry driving DTI-ALPS indices pervades white matter, persists at high b-values, and tracks crossing fibers, axonal undulation and dispersion rather than perivascular diffusion.

This study compares the orientation of white matter nerve fibers and vasculature in the human brain using diffusion MRI and susceptibility weighted imaging, finding that vasculature aligns with some but not all white matter tracts.

This paper introduces BrainVAE, a transformer-based variational autoencoder, to classify preclinical Alzheimer's disease using white matter BOLD signals and finds it outperforms other models when combining white and gray matter data.

This study identifies widespread microstructural changes in gray and white matter in individuals with dual cognitive-motor impairment compared to isolated impairments and controls.

This study develops a diffusion MRI protocol to simultaneously characterize brain and spinal cord microstructure using DTI, SMI, and SANDI, showing high image quality and reproducibility with some challenges in the spinal cord.

The paper examines how sex, race, and APOE-ε4 allele status affect white matter microstructure across multiple aging and Alzheimer's disease cohorts.

This study uses diffusion MRI to identify microstructural changes in the human brain associated with neurocognitive aging, finding that microstructural markers are more strongly linked to cognitive performance than macrostructural changes.

The paper identifies functional white matter networks in BOLD fMRI using hierarchical clustering and validates their stability across scans and populations.

This study evaluates the impact of distortion correction and cardiac triggering on spinal cord diffusion MRI quality, finding that distortion correction has limited effectiveness and cardiac triggering can be omitted without significant quality loss.

This study maps the relationship between functional and structural brain connectivity, revealing gender and age-related differences in white matter engagement as a potential biomarker for neurological conditions.

The paper characterizes lifespan changes in white matter microstructure, macrostructure, and associated cortical morphology using large datasets, finding unique developmental and aging trajectories across brain pathways.

This paper uses deep learning to predict brain age from MRI data and finds it correlates with cognitive impairment and decline.

The paper investigates BOLD signal changes in both white and gray matter using model-free analysis and simple tasks, finding time-locked activations across the whole brain.

The paper analyzes longitudinal MRI data from 1,293 subjects to study age-related changes in superficial white matter microstructure and U-fiber volume and length.

This study quantifies superficial white matter volume and thickness across the lifespan using large datasets, finding unique age-related changes and relationships with cortical features.

This paper introduces a model-free method to detect task-evoked BOLD signal synchrony in white matter using fiber-architecture-informed spatial windows and modified PCA, showing reliable detection in fMRI data.

The paper quantifies resting-state BOLD hemodynamic response functions (HRF) in white matter, showing significant differences from gray matter and variation along WM pathways.

The paper evaluates tractography methods using a macaque dataset to determine optimal approaches for mapping brain pathways from multi-shell diffusion MRI.