Muriah D. Wheelock

The paper develops an age-appropriate functional reference to estimate individualized brain networks in young children, revealing early network organization and stability.

The paper examines functional connectivity during drawing tasks after upper extremity nerve surgery, finding differences in connectivity patterns between patients and controls, and between surgical groups.

The paper uses functional MRI to map cortical areas in neonates, finding that their arrangement is individually specific and reliably identifiable.

This study shows stimulant medications affect brain connectivity in action/motor and reward-related regions, not attention networks, and mimic the effects of sleep.

This study uses fMRI to investigate neural mechanisms of handedness during precision drawing, finding differential engagement of motor and parietal networks for left-hand versus right-hand tasks.

This study evaluates community detection methods for human connectome networks, finding that likelihood-based criteria outperform other strategies in selecting the number of communities.

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.

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.

This study uses a variational autoencoder to embed functional connectivity profiles into a latent space for simultaneous comparison across anatomical locations and groups.

This study applies machine learning to neuroimaging data to identify brain connectivity biomarkers linked to age, emphasizing the importance of accounting for family variance and using network enrichment for biological interpretation.

This study shows hub disruption in ADAD follows a targeted attack pattern, detectable pre-clinically and linked to amyloid beta changes and neuronal activity.

This paper develops a neonatal-specific cortical parcellation based on functional connectivity, validated across multiple datasets.