Sourena Soheili‐Nezhad

The paper uses connectopic mapping on UK Biobank data to analyze variation in language-related brain connectivity and identifies genetic loci associated with these patterns.

This study integrates brain structure and function to identify genetic loci associated with language-related brain components using UK Biobank data.

This paper introduces polygenic component scores derived from genomICA components to link brain imaging genetics to diverse phenotypes, showing they predict physical and cognitive traits but not mental health outcomes.

The paper applies genomICA to GWAS data from brain MRI phenotypes to identify genetic components associated with neurobiological processes and behaviors.

The paper identifies distinct brain structural impacts of polygenic dyslexia disposition in adults using large-scale population data.

The paper uses imaging genetics to analyze functional connectivity in language networks, identifying genetic loci linked to language abilities, dyslexia, and handedness.

This study identifies rare protein-altering variants in TUBB4B and other genes associated with left-handedness using exome data from over 300,000 individuals.

This paper introduces genomic principal and independent component analysis to decompose GWAS statistics of brain traits, showing improved reproducibility and interpretability of genetic effects.

The paper examines longitudinal ADHD symptom changes linked to white matter microstructure using fixel-based analysis, finding associations between symptom improvement and specific tract metrics.

The paper learns interpretable latent representations of task-fMRI data from large-scale datasets, capturing demographic and behavioral variability through a three-dimensional autoencoder and normative modeling.

This paper introduces a method to identify latent genomic components influencing brain structure and function using GWAS summary statistics and MRI data, finding these components are enriched for molecular pathways and cell-specific gene expression.

This study examines how white matter microstructure changes longitudinally in relation to ADHD symptom remission in adolescents and young adults.

The paper identifies a SHARPIN variant associated with limbic system atrophy and family history of Alzheimer’s disease using MRI and genome-wide data.

The paper uses independent component analysis to identify reduced fronto-striatal volume in ADHD across two cohorts, showing consistent results across age and demographic differences.

This paper proposes the large gene instability hypothesis to explain Alzheimer's disease mechanisms, suggesting that large, fragile synaptic genes are key to aging-related dementia.