Armin Raznahan

The paper identifies new cortical gene expression components linked to neurodevelopment and finds associations with autism and schizophrenia across multiple data types.

This study compares the effects of sex chromosome trisomies on brain anatomy in humans and mice, finding species-specific patterns and some conserved regional impacts.

The paper introduces CoCoA, a statistical framework to estimate conditional correlations and association sizes, demonstrating its effectiveness in neurocognitive data analysis.

This paper uses neuroimaging data to analyze how multiple brain morphometric features covary across development and their associations with behavior, age, and socioeconomic status.

This paper introduces a method to analyze intermodal coupling between multiple brain imaging modalities and applies it to study neurodevelopmental patterns in adolescents.

The paper maps interspecies differences in subcortical anatomy between humans and chimpanzees, linking heritability, morphology, and behavioral correlates.

This study examines how cerebral blood flow and fMRI fluctuations are coupled in youth, finding age-related decreases, sex differences, and links to executive function.

The paper introduces a permutation-based test to assess intermodal correspondence in neuroimaging data, showing it effectively detects known relationships and is conservative when none are expected.

The paper uses machine learning to analyze functional topography in youth brains, finding sex differences linked to X-linked genes and specific brain networks.

This study maps resting-state functional connectivity changes in Klinefelter syndrome and links them to brain anatomy and psychopathology.

This study characterizes the effects of varying humanized androgen receptor Q tract lengths on brain anatomy and behavior in mice, finding non-linear neuroanatomical changes and no behavioral effects.

This study examines the boundary sharpness coefficient (BSC) as a measure of cortical microstructure in ASD, finding age, sex, and regional differences in BSC that correlate with clinical measures.

The paper develops cortical profiles in neonatal brains using MRI to track morphometric and microstructural changes, revealing how network similarity evolves over time.

This study shows how functional topography of brain networks changes with age and relates to executive function and brain organization in youth.

This study examines how structure-function coupling in brain networks develops during youth, finding it aligns with cortical hierarchies and supports cognitive improvements.

The paper links genetic risks to spatial brain vulnerabilities in neurodevelopmental disorders using neuroimaging and gene expression data.

The paper analyzes longitudinal MRI data to identify sex-biased growth trajectories of the amygdala and hippocampus across human development, revealing differences in volume expansion and shape changes between males and females.

The paper links reduced cortical morphometric similarity in psychosis to the expression of schizophrenia-related genes in specific brain regions.

This study examines how childhood socioeconomic status relates to brain morphology changes from age 5 to 25, finding consistent positive associations with brain volume and specific cortical and subcortical regions.

This study examines how supernumerary sex chromosomes affect limbic structure volume and shape in patients compared to controls, finding reduced amygdala volume but no hippocampal volume changes after brain size correction.

The paper investigates how sex chromosome dosage affects gene expression in humans by analyzing diverse aneuploidies and identifies SCD-sensitive genes and their regulatory networks.

This paper introduces a spatial permutation framework to test the significance of overlap between brain maps and demonstrates its application to task-based activity, resting-state networks, and anatomical landmarks.

The paper finds that larger-brained humans show preferential expansion of fronto-parietal cortical networks and related subcortical regions, at the expense of primary sensory/motor systems.

The paper introduces morphometric similarity networks to map cortical organization and shows they predict cognitive variation across individuals.