Ryland L. Miller

Motion Impact Score for Detecting Spurious Brain-Behavior Associations

The paper introduces SHAMAN, a method to assess motion impact on brain-behavior associations in fMRI studies, finding significant motion overestimation and underestimation in various traits.

Precision functional mapping reveals less inter-individual variability in the child vs. adult human brain

This study maps brain networks in children using precision neuroimaging, finding less inter-individual variability compared to adults.

Disuse-driven plasticity in the human thalamus and putamen

This study investigates disuse-driven plasticity in the human thalamus and putamen using fMRI, finding strengthened functional connectivity and signal pulses in these regions during limb immobilization.

Using synthetic MR images for field map-less distortion correction

This paper introduces Synth, a field map-less distortion correction method for fMRI data, showing comparable or better performance than field map-based approaches in pediatric and adult datasets.

A mind-body interface alternates with effector-specific regions in motor cortex

The paper reveals that motor cortex contains inter-effector regions connected to the Cingulo-opercular network, alternating with effector-specific areas, suggesting a dual system for motor control and whole-body coordination.

Real-time motion monitoring improves functional MRI data quality in infants

This study shows that real-time motion monitoring with FIRMM software improves the quality and usability of fMRI data in infants by reducing motion artifacts.

Human Fronto-Striatal Connectivity is Organized into Discrete Functional Subnetworks

This study identifies individual-specific discrete subnetworks of human cortico-striatal connectivity, revealing a stepped rostral-caudal gradient including previously unknown language network connections.

Precision Diffusion Imaging

This study evaluates diffusion imaging methods for individual-specific precision, finding that BaMM reduces overfitting and achieves better crossing-fiber accuracy with more data.

Towards Reproducible Brain-Wide Association Studies

Brain-behaviour correlations in ABCD are tiny (median |r|=0.01), so samples of typical size (N=25) give inflated, irreproducible results; estimates only stabilise around N⪆2,000.