Luke Williamson Hyde

This study examines how task-control network functioning, cognition, and environmental factors co-develop in early adolescence using longitudinal data from the ABCD Study.

The paper identifies a stable, age-invariant neural signature of task-control network functioning using latent variable modeling across developmental stages.

Across 15 cohorts (birth to 24 years), 20 epigenetic clocks and eight brain age models predicted chronological age modestly, stabilizing by middle childhood; their age residuals were weakly associated.

This study investigates brain age differences in youth with conduct disorder compared to controls, finding accelerated brain maturation in those with adolescence-onset CD.

The paper links shorter sleep duration in adolescents to somatomotor network disconnection, socioeconomic factors, screen time, cognition, and psychopathology using network neuroscience methods.

The paper assesses neurocognitive maturation in early adolescence by comparing resting-state functional connectivity to adult and infant networks, finding it predicts cognitive performance and development.

This study reviews reporting practices in human neuroimaging research, finding low frequency of demographic, methodological, and open science reporting in MRI and fMRI studies.

This study finds that socioeconomic resources in childhood are associated with widespread changes in brain connectivity, primarily driven by parental education, which is partially explained by home enrichment and child cognitive factors.

This work develops normative models of brain growth and aging using neuroimaging data to quantify variability across disorders and improve case-control inferences.

This study examines psychopathology structure and genetic associations in older adults, finding a general factor of psychopathology and limited domain-specific genetic associations.

This study builds predictive neuromarkers of children's neurocognitive abilities from brain connectivity data, showing reliable generalization across sites and explaining over 14% of variance.

This study identifies a connectome-wide neurosignature of the P factor, a general risk factor for psychopathology, and shows its generalizability across adolescent brain imaging data.

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

This study identifies resting state fMRI connectivity patterns predicting neurocognitive profiles in youth across three domains, showing cross-site generalizability for General Ability.