Budhachandra S. Khundrakpam

A critical role of brain network architecture in a continuum model of autism spectrum disorders spanning from healthy individuals with genetic liability to individuals with ASD

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

Schizophrenia polygenic risk during typical development reflects multiscale cortical organization

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

Educational Attainment Polygenic Scores, Socioeconomic Factors, and Cortical Structure in Children and Adolescents

This study examines the independent associations of educational attainment polygenic scores and parental education with cortical structure and neurocognitive skills in children and adolescents.

Individualized prediction of future cognition using baseline developmental changes in cortical anatomy

The paper predicts future cognition using dynamic cortical anatomy changes from longitudinal neuroimaging data in children.

Non-linear effects of socioeconomic status on brain development: associations between parental occupation, cortical thickness and language skills in childhood and adolescence

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

An analytic approach for interpretable predictive models in high dimensional data, in the presence of interactions with exposures

The paper introduces ECLUST, a framework that improves predictive modeling in high-dimensional data by incorporating exposure-dependent clustering, showing better performance than traditional methods.