Adam W. Anderson

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 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 shows that neural activity patterns in the prefrontal cortex predict cognitive improvements during adolescence, with long-distance white matter tracts playing a key role.

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.

This study analyzes diffusion MRI data from 1184 participants to quantify age-related changes in white matter microstructure and macrostructure, finding that macrostructural features show more heterogeneous age-related decline.

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.

This study quantifies the prevalence of bottleneck regions in white matter where multiple fiber populations share the same orientation, showing over 50-70% of fixels are affected, leading to potential errors in tractography.

This study evaluates how scanner, vendor, resolution, diffusion scheme, and segmentation workflow variations affect diffusion tractography bundle segmentation results.

This paper introduces an empirical method to correct gradient nonlinearity in multi-site diffusion weighted MRI, improving reproducibility across scanners and sessions.

The paper presents a population-based white matter atlas derived from diffusion MRI fiber tractography, including 216 bundles from 2443 subjects.

This study derives histologically-derived fiber response functions for diffusion MRI in squirrel monkey brains and shows they vary across brain regions and subjects, affecting FOD reconstruction and tractography.

This study evaluates modern diffusion tractography methods using a standardized challenge, finding no significant improvement in anatomical accuracy despite methodological advances.