Armin Raznahan

Generalizable sex differences in functional brain organization follow the cortical hierarchy in youth

The paper examines sex differences in functional brain connectivity across youth, finding that males show greater network integration while females show greater network segregation along the sensorimotor-association axis.

Sex and autism share cell type-specific effects on cortical gene expression

The paper examines cell type-specific sex effects on gene expression in autism and finds a stronger overlap with autism than schizophrenia.

Sex Differences in Human Subcortical Anatomy are Robust and Replicable in Adulthood, Already Evident Prepubertally, and Aligned with Sex Chromosomal and Gonadal Influences

Brain charts for neuroanatomical sex differences across the human lifespan

The paper models age-varying sex differences in brain structure using MRI data from 100,000 individuals, showing consistent sex biases that increase with age and are influenced by neuropsychiatric disorders.

Mapping the genetic architecture of human cortical expansion and its links to neuropsychiatric disorders

The paper models the genetic architecture of cortical expansion using GWAS data and links it to neuropsychiatric disorders.

Genetic insights on the mechanisms of human cortical folding

This study identifies genetic maps of human sulcal complexity using rare and common variants, revealing new mechanistic pathways for cortical morphogenesis.

Gonadal and sex chromosomal contributions to sex differences in mammalian brain organization

The paper quantifies gonadal and sex chromosome dosage contributions to sex differences in brain volume across multiple regions in mice, revealing their combined effects on anatomical and cellular gene expression.

Relative contribution of gonads and sex chromosomes to sex differences in cell-type gene expression in the mouse medial septum and sex-biased disease risk

The paper investigates the relative impact of gonads and sex chromosomes on sex differences in gene expression in the mouse medial septum and links these differences to sex-biased human diseases.

Fractionation of sex differences in human cortical anatomy

The paper quantifies sex differences in human cortical volume by separating contributions from surface area and thickness, and links these to genetic and hormonal factors using neuroimaging data.

Charting structural brain asymmetry across the human lifespan

This paper presents a normative framework for brain asymmetry across the lifespan using a large neuroimaging dataset, revealing distinct spatial patterns and providing tools for clinical and research applications.

A cross-species analysis of neuroanatomical covariance sex differences in humans and mice

The paper investigates sex differences in anatomical covariance across humans and mice, finding stronger structural covariance in females and inverse relationships between volumetric sex biases and covariance patterns.

Sex effects on gene expression across the human cerebral cortex at single cell resolution

This study identifies sex-biased gene expression patterns across multiple cortical regions and cell types in the human brain using single-cell transcriptomics.

Reproducible Sex Differences in Personalized Functional Network Topography in Youth

The paper identifies robust sex differences in personalized functional brain network topography in youth, linked to X-linked genes and brain regions involved in psychiatric disorders.

Assigning Targetable Pathways to Transdiagnostic Subgroups Across Neurodevelopmental Disorders

The paper identifies molecular pathways associated with neurodevelopmental disorder subgroups using neuroimaging data from mice and humans.

A neuro-immune axis of transcriptomic dysregulation within the subgenual anterior cingulate cortex in schizophrenia

The paper identifies a schizophrenia-specific gene expression pattern in the subgenual anterior cingulate cortex using multivariate analysis, highlighting neuro-immune pathways and GWAS-implicated genes.

Evolutionary divergence between homologous X-Y chromosome genes shapes sex-biased biology

The paper analyzes functional divergence between X and Y gametologs across human tissues and finds that evolutionary distance correlates with functional divergence and sex-biased biology.

The brain cortical similarity network: Development and sensitivity to early life stress in a rat model

The paper uses MRI similarity network analysis to study how early life stress affects cortical network development in rats, finding altered inter-areal similarity in key brain regions.

Transcriptomic signatures of nine high-risk neuropsychiatric copy number variants in human brain cells

The paper analyzes transcriptomic differences in human brain cells with nine high-risk neuropsychiatric CNVs compared to non-carriers, finding widespread gene expression disruptions and shared functional pathways.

A conserved cell-type gradient across the human mediodorsal and paraventricular thalamus

The paper identifies a conserved excitatory neuron gradient in human mediodorsal thalamus using single-nucleus and spatial transcriptomics, linking it to psychiatric disorder risk.

Generating Advancements in Longitudinal Analysis in X and Y Variations: Rationale, Design, and Methods for the GALAXY Registry

The paper introduces the GALAXY Registry, a longitudinal study aimed at improving diagnosis and understanding of sex chromosome aneuploidies through increased demographic diversity.

Network Enrichment Significance Testing in Brain-Phenotype Association Studies

The paper introduces NEST, a framework for testing brain-phenotype associations within functional networks, applied to neurodevelopmental imaging data.

Comparative neuroimaging of sex differences in human and mouse brain anatomy

This study compares sex differences in brain anatomy between humans and mice using neuroimaging, finding partial conservation of volumetric sex differences in cortical regions.

A bipolar taxonomy of adult human brain sulcal morphology related to timing of fetalsulcation and trans-sulcal gene expression gradients

The paper constructs a sulcal phenotype network from MRI scans to identify two clusters of sulci related to developmental timing and gene expression gradients.

Population-based Risk of Psychiatric Disorders Associated with Recurrent CNVs

The paper estimates population-based risks of psychiatric disorders associated with 34 recurrent CNVs using a large case-cohort sample, finding moderate risks for ADHD, autism, and schizophrenia, but not depression.

The variegation of human brain vulnerability to rare genetic disorders and convergence with behaviorally defined disorders

The paper examines how different gene dosage disorders affect the human brain using multimodal neuroimaging, revealing diverse cortical changes and a shared vulnerability axis aligned with psychiatric disorders.

Transcriptional Cartography Integrates Multiscale Biology of the Human Cortex

This paper integrates multiscale cortical biology by generating spatially dense gene expression maps from postmortem data, revealing transcriptional zones linked to microstructure and neuroimaging features.

Whole-brain comparison of rodent and human brains using spatial transcriptomics

The paper compares rodent and human brain regions using spatial transcriptomics to assess cross-species gene expression similarity and introduces a machine learning method to improve correspondence.

Spatially-enhanced clusterwise inference for testing and localizing intermodal correspondence

The paper introduces CLEAN-R, a method to test and localize intermodal correspondence in neuroimaging data, demonstrating high statistical power and nominal type I error levels.

Neuromaps: structural and functional interpretation of brain maps

Neuromaps provides a software package to standardize and compare brain maps across different coordinate systems, enabling comprehensive annotation analysis of the human brain.

Cortical gene expression architecture links healthy neurodevelopment to the imaging, transcriptomics, and genetics of autism and schizophrenia

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