Omid Kardan

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 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.

BIBSNet is a deep learning model for infant brain segmentation in MRI scans that outperforms JLF in accuracy and speed, with compatible outputs for further analysis.

This study parcellates the cerebral cortex in toddlers using functional connectivity and shows high reproducibility across ages, with area boundaries more similar to adults than neonates.

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

This study identifies infant brain areas with adult-like functional network organization, showing less age-related variation and higher reliability, and suggests implications for using adult network models in infants.

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.

The paper introduces Baby Open Brains (BOBs), an open-source repository of manually curated infant brain segmentations to improve reproducibility in neuroimaging research.

The paper finds that higher scale-free dynamics in brain activity, measured by the Hurst exponent, correlate with greater practice-related performance improvements across three different tasks.

The paper shows that functional brain networks predict sustained attention and working memory in children and adults, with WM networks changing more from preadolescence to adulthood.

This study tests if scale invariance measured by the Hurst exponent can quantify cognitive load using fNIRS during a working memory task, showing higher H during easier tasks.

The paper shows a gradient of decreased Hurst exponent (H) with increased psychopathology and ADHD scores in children, predicting working memory performance and resource allocation imbalances.

The paper evaluates bifactor and second-order models of psychopathology using ABCD Study data, finding both models have adequate psychometric properties but bifactor models offer clearer interpretation of associations with external variables.

The paper examines how chemotherapy affects brain connectivity and cognitive health, finding that functional connectivity changes are distinct from behavioral measures of cognitive performance.