Richard Watts

This study examines how BMI relates to brain microstructure across adolescence, finding nonlinear associations that intensify at higher BMI percentiles.

This study uses restriction spectrum imaging to find that higher BMI in young children is linked to changes in brain microstructure in reward-related areas, suggesting early neural risk markers for obesity.

This study examines reliability, heritability, and behavioral relevance of resting-state functional connectivity at different spatial scales in children, finding that fine-scale connectivity is more reliable but less heritable than coarse-scale connectivity.

This paper responds to criticisms of the ABCD Stop task, arguing that the concerns have minimal impact on neuroimaging and performance data, and highlights adjustments made to the task and data releases.

The paper introduces MINT, a tool for multimodal MRI registration, and presents an ABCD atlas for whole-brain analysis, showing it outperforms existing methods in speed while maintaining accuracy.

A curated collection of processed ABCD neuroimaging derivatives plus utilities for access, sharing and analysis, letting researchers exchange derivatives they cannot share through the central archive.

The paper links working memory performance to brain activation patterns in children using fMRI data from a large longitudinal study.

The paper examines microstructural changes in thalamic nuclei across cognitive stages of Parkinson's disease and finds increased mean diffusivity correlates with cognitive decline, particularly in the lateral dorsal nucleus.

This paper develops a band-stop filter to correct respiratory artifacts in MRI motion estimates, improving data quality and demonstrating real-time implementation.

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