Mary M. Heitzeg

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.

The paper examines how deprivation and threat exposure in childhood affect neurocognitive and neuroaffective development in adolescents, finding that both delay neurocognitive maturation beyond socioeconomic factors.

This study finds that high levels of PM2.5 and O3 air pollutants are associated with delayed neurocognitive maturation in early adolescents.

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 examines how variability in brain state engagement changes with age and its relationship to executive function in youth.

The paper shows that flexible adaptation of task-positive brain networks predicts individual differences in evidence accumulation efficiency, explaining 36%-39% of the variance.

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.

The paper identifies evidence accumulation efficiency (EEA) and its neural correlates as predictors of substance use in emerging adults.

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 uses cognitive modeling to analyze neural activations during a go/no-go task, finding that error-related brain activity correlates with cognitive performance and externalizing psychopathology.

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.