Thomas J. Madison

This paper introduces PCM, a method to assess network assignment confidence in rs-fMRI data, improving precision with limited scan durations.

This study identifies distinct cortical thickness and curvature patterns in autism and ADHD using harmonized, large-scale brain imaging data.

The paper estimates heritability of subcortical brain volumes in adolescents using a multi-site cohort, finding high heritability in cerebellum cortex and hippocampus.

This study shows stimulant medications affect brain connectivity in action/motor and reward-related regions, not attention networks, and mimic the effects of sleep.

The paper demonstrates the feasibility of precision functional imaging in infants to identify individual-specific auditory responses and their relation to brain functional networks.

This paper demonstrates that 7T MRI improves spatial resolution and data quality for functional brain mapping in infants compared to 3T MRI, enabling more reliable developmental studies.

This study estimates the heritability of functional brain networks in adolescents using SNP and twin data from the ABCD study, finding low genetic contributions.

The paper extends fMRIPrep to handle MRI data from infancy to old age, demonstrating high-quality preprocessing across a wide age range.

This paper introduces multi-echo acquisition and thermal denoising methods to improve precision functional MRI in adults, children, and newborns, showing increased signal-to-noise ratio and reliability.

XCP-D provides a standardized, reproducible post-processing pipeline for fMRI data, supporting multiple pre-processing pipelines and BIDS best practices.

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.