Ursula A. Tooley

This study validates the Hurst exponent as a marker of inhibition in developing brains across species and shows its developmental plateau aligns with parvalbumin expression.

The paper examines how prenatal socioeconomic status influences cortical network development from birth to three years, finding accelerated segregation in lower-SES groups and links to language abilities.

The paper examines how prenatal social disadvantage affects cognitive and language abilities at age 2, showing that parenting behaviors mediate these effects only in families with lower levels of disadvantage.

The paper uses multilayer network analysis to explore associations between environmental exposures and brain development in children, finding dense connections within environmental and brain layers but sparse connections between them.

This study investigates functional brain network development in children aged 4-10, finding age-related segregation and integration patterns that challenge classical theories of cortical maturation.

The paper investigates whether proxy measures of neural plasticity in the human frontoparietal system predict learning outcomes after short-term training.

This study identifies functional brain network communities in children using fMRI data, finding similar structures to adults in early-developing regions but differences in transmodal areas and higher uncertainty in limbic and cingulo-opercular regions.

This study evaluates how different functional connectivity measures in resting-state fMRI data are affected by motion artifacts and finds that partial correlation is most robust.

The paper shows that early life stress, measured by family income and adverse childhood experiences, is linked to earlier eruption of permanent molars in children.

QSIPrep is a software platform for preprocessing diffusion MRI data that supports multiple sampling schemes and ensures reproducibility through standardized workflows and quality measures.