Naomi P. Friedman

The paper identifies genetic and biological pathways linking executive functioning and externalizing behaviors using genome-wide association study data.

This study performs a multi-ancestral GWAS of DSM-defined nicotine dependence, finding genetic correlations with other substance use disorders and health traits, and identifying a strong general addiction liability factor.

The paper identifies four RSFC subtypes in children using ABCD data and shows they predict cognitive and mental health outcomes better than individual connections.

This study shows placebo treatment reduces pain-related brain activity in affective and cognitive systems but not in nociceptive regions, using fMRI data from 392 participants.

This study examines genetic relationships between chronic pain, psychiatric conditions, and neuroticism, finding shared genetic factors between pain and psychiatric conditions, with neuroticism explaining some shared variance.

The paper estimates heritability of cognitive phenotypes in the ABCD Study using mixed models and the FEMA package, finding narrower confidence intervals with SNP-derived genetic relatedness.

This study performs a large-scale GWAS on executive functions, identifying genetic variants linked to synaptic and GABAergic pathways and showing distinct genetic relationships with intelligence and psychiatric disorders.

The paper develops fMRI connectivity models to predict intelligence and tests their genetic correlations with measured IQ, finding stronger heritability and genetic overlap compared to single brain regions.

This study uses genomic structure equation modeling to show impulsivity traits have distinct genetic factors, with urgency most linked to internalizing psychopathology.

The paper identifies genetic associations between depression and CU traits in specific brain regions using twin data and neuroimaging.

The paper examines genetic and environmental influences on the human functional connectome using twin data, finding strong non-shared environmental effects and moderate genetic influence.

The paper describes neuroimaging processing methods for the ABCD Study to extract brain phenotypes from multimodal imaging data.