Michael P. Harms

HARMONY harmonizes neuroimaging data from multiple cohorts to study brain-behavior associations in anxious misery disorders, showing increased statistical power in pooled analyses.

This study identifies structural brain differences associated with cognitive performance in middle and late adulthood using data from the Human Connectome Project.

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

The paper develops a processing pipeline for arterial spin labelling MRI data from the Human Connectome Project Lifespan and finds age-related differences in cerebral perfusion and transit times.

QuNex provides a platform for reproducible neuroimaging analytics, integrating multi-modal tools and enabling scalable, high-throughput processing across species and datasets.

This paper introduces two empirical methods to correct B1+ transmit field biases in T1w/T2w myelin maps, improving their accuracy for neuroanatomical and statistical analyses.

This study assesses the reliability and stability of task-fMRI measures in children, finding poor reliability and stability across brain regions, with motion and activation levels significantly affecting results.

The paper uses high-resolution myelin mapping to show graded variation in cortical myelination rates along the sensorimotor-association axis during adolescence.

The paper describes neuroimaging processing methods for the ABCD Study to extract brain phenotypes from multimodal imaging data.

This paper introduces temporal ICA to remove global structured noise from fMRI data while preserving global neural signals, improving upon traditional global signal regression methods.