John C. Gore

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 shows that functional connectivity gradients vary with cortical sampling position and brain state, revealing state-dependent reconfiguration of surface representations.

This paper shows that white-matter BOLD signals can be predicted from cortical activity using multivariate encoding, revealing functional organization beyond pairwise connectivity.

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

This study quantifies relative hemodynamic timing in white matter using Local Propagation Mapping and finds age-related changes in lag patterns associated with cognitive performance.

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

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 uses multiparametric MRI to detect early spinal cord changes after dorsal nerve root injury in nonhuman primates, showing structural and biochemical alterations within one week.

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.

This study uses diffusion MRI techniques to detect region-specific fiber damage in spinal cord injury, finding that fractional anisotropy and axonal volume fraction are most effective biomarkers.

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.

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.

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.

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 investigates time-varying spectral patterns of resting-state BOLD signals in white matter and identifies recurring modes with specific spatial and behavioral associations.

The paper examines BOLD signal latency variations in white matter across different sensory states using resting-state fMRI data, finding reproducible patterns and directional propagation.

This study finds that low frequency resting state BOLD signals in white matter correlate with local glucose uptake and spontaneous BOLD fluctuations, indicating metabolic activity related to neural activity.

The paper identifies distinct BOLD time courses in white matter using power spectra, revealing two categories of voxels with different functional and anatomical properties.