Raquel E. Gur

The paper models cortical brain deviations from normative neurodevelopment to predict psychiatric symptoms, finding that transdiagnostic psychopathology dimensions better predict symptoms than specific disorder measures.

This study shows that the blood brain barrier in 22q11.2 deletion syndrome is compromised, leading to increased neuroinflammation and potential risk for neuropsychiatric disorders.

The paper investigates genetic risk for psychosis spectrum symptoms in youth, finding a significant link with ADHD polygenic scores and age-specific effects.

This paper performs a large-scale eQTL meta-analysis across cerebral cortical and cerebellar brain regions, identifying distinct eQTL patterns and demonstrating improved power over existing studies.

The paper analyzes sex differences in brain structure variability across the lifespan using a large dataset, finding greater male variability in subcortical volumes, cortical surface area, and thickness in most regions.

This study identifies three neurocognitive subtypes of depression in youth using machine learning, showing distinct neural signatures despite similar clinical symptoms.

QSIPrep is a software platform for preprocessing diffusion MRI data that supports multiple sampling schemes and ensures reproducibility through standardized workflows and quality measures.

The study replicates and extends the Parieto-Frontal Integration Theory (PFIT) in youths, showing age-related strengthening of brain parameter-cognitive performance associations and suggesting an expanded network incorporating motivation and affect regions.

This paper develops a method to reduce technical variation in multisite MRI data by aligning intensity distributions across scanners.

The paper functionally annotates rare structural variants in the human brain by integrating SV calling with RNA-seq data to assess their regulatory effects and prioritize pathogenic deletions.

The paper uses network control theory to show that structural brain networks mature during adolescence to reduce the energy cost of activating the frontoparietal system, supporting executive function development.

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.

This study identifies two neurobiologically distinct subtypes of youth with internalizing symptoms using structural brain imaging and machine learning.

This study finds no significant differences in brain structure between adolescent and young adult cannabis users and non-users using high-resolution MRI scans.

The paper identifies structural brain differences in youth with psychosis spectrum symptoms compared to other groups, highlighting reduced cortical surface area and thalamic volume.

The paper identifies brain-based dimensions of psychopathology using sCCA in youths, finding four dimensions linked to functional dysconnectivity that replicate in an independent dataset.

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 examines the heritability of neural activation in the nucleus accumbens during monetary incentive anticipation and its genetic covariance with self-reported pleasure experience in twin pairs.

The paper investigates how brain iron levels in youth relate to cognitive performance and socioeconomic status, hypothesizing that higher iron in basal ganglia regions mediates this relationship.

The paper examines the association between cortical thickness and impulsive choice in adolescents, finding reduced cortical thickness in specific brain regions linked to impulsive decision-making.

The paper develops an automated method to assess structural brain image quality using Euler number and validates its effectiveness in identifying low-quality images and its relationship with cortical thickness and age-related associations.

The paper discusses the role of whole genome sequencing in psychiatric disorders through the WGSPD consortium, aiming to assess its utility compared to other genotyping methods.

The paper constructs a multifactorial model of white matter connectivity during adolescence using Bayesian networks and diffusion imaging data, showing that architectural specifications become more influential with age.

This paper evaluates how in-scanner head motion affects structural connectivity estimates from diffusion tractography in a developmental cohort, showing motion biases connectivity strength in a consistency and length-dependent manner.

This paper shows that diffusion tensor imaging data are site-specific and demonstrates that ComBat effectively harmonizes them while preserving biological variability.