Linn Bonaventure Norbom

The paper links pregnancy- and birth-related risk factors to multivariate cortical brain MRI features in children using statistical analysis methods.

The paper examines how genetic and brain similarities predict childhood anthropometric and socioeconomic traits using a mixed model framework in the ABCD cohort.

This study examines age-related changes in the T1w/T2w ratio across the cortical surface in children and adolescents, linking it to cognitive development and sex differences.

The paper examines associations between multimodal brain structural MRI measures and age, sex, and polygenic scores for neuroticism in children and adolescents, finding age and sex effects but weak polygenic associations.

The paper estimates brain age gaps using MRI and machine learning in individuals with and without brain disorders, finding heritability and genetic overlap with common disorders.

This study uses machine learning to show cerebellar morphology predicts cognitive function and psychopathology in adolescents, with stronger links to prodromal psychotic symptoms.

The paper examines age-related changes in gray/white matter contrast and links them to psychopathology and cognitive ability in youth using MRI data.

This study identifies 15 genome-wide significant loci associated with hippocampal subfield volumes in 21,297 individuals, revealing distinct genetic determinants for different subfields.