Noor Al‐Sharif

This study investigates how brain network architecture relates to ASD-related cortical alterations and polygenic risk for ASD using neuroimaging data from multiple cohorts.

This study links schizophrenia polygenic risk to cortical thickness changes in developing children, showing a trajectory toward adult schizophrenia patterns.

The paper compares voxel- and surface-based methods for generating structural connectomes, finding voxel-based methods marginally better for age prediction and individual representation.

This paper processes diffusion-weighted MRI data from the PING dataset to improve connectomic analysis through advanced diffusion metrics and multimodal integration.

The paper examines how socioeconomic status, measured by parental occupation, nonlinearly affects cortical thickness and language skills in children and adolescents.