Andrew L. Alexander

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

The paper examines hemispheric lateralization differences in autistic males compared to neurotypical individuals, finding reduced lateralization in specific brain networks and a link to language delay.

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

This study evaluates variability in white matter bundle segmentation across 42 groups using the same dataset, finding protocol variability exceeds other sources of inconsistency.

The paper introduces a hierarchical structural brain network parcellation method and applies it to twin data to show consistent heritability across network scales.

This study compares structural brain connectivity models using diffusion tensor imaging features in normal controls and maltreated children.

The paper shows that local low frequency fMRI synchrony predicts the spatial extent of functional connectivity, offering a data-driven method to analyze connectivity patterns without prior assumptions.