Bernd Ittermann

The paper introduces a novel macromolecule quantification model (PRaMM) for improved metabolite quantification in brain 1H-MRS, showing better fit quality compared to existing methods.

This study identifies a genetic variant in CSMD1 associated with amygdala connectivity and prosocial behavior through a GWAS of brain networks in adolescents.

This study examines the independent effects of socioeconomic status and genetic factors on brain development and cognition in adolescents, finding distinct associations with cortical surface area and working memory.

This study identifies genetic variants linked to longitudinal brain structure changes across the lifespan using MRI data from 15,640 individuals.

The paper characterises and stratifies reinforcement-related behaviours by analysing neural activation patterns in adolescents using a statistical framework.

The paper reports epigenome-wide meta-analyses of blood DNA methylation with subcortical brain volumes, identifying significant associations with hippocampal volume and potential biological mechanisms.

This study examines the relationship between sleep patterns and grey matter volumes in adolescents, finding that later weekend wake-up times are linked to reduced grey matter in specific brain regions and increased psychological symptoms.

The paper analyzes neuroimaging and genotyping data to show that 54% of neuroanatomical heritability is explained by many small-effect SNPs across the genome.