Pravesh Parekh

The paper identifies shared genetic variants between major psychiatric disorders and retinal traits, revealing molecular mechanisms linking retinal morphology to neurodevelopmental and neurotransmission processes.

This study examines how BMI relates to brain microstructure across adolescence, finding nonlinear associations that intensify at higher BMI percentiles.

The paper introduces a 3D brain geometry toolkit for multisite neuroimaging analysis, showing subcortical shape measures improve diagnostic and treatment prediction compared to traditional volume features.

FEMA-Long enables efficient modeling of time-dependent effects in longitudinal data, discovering genetic variants with time-dependent effects on infant growth traits.

This study analyzes GWAS data from nearly 1 million cases to show widespread genetic overlap between neurological and psychiatric disorders, with shared biological processes and divergent effect sizes.

The paper introduces a scalable toolkit for 3D surface-based brain analysis, demonstrating its utility in mapping subcortical shape variations across 21 international samples.

The paper uses an extended mixed-effects model to analyze age-related changes in brain structure across a large adolescent cohort, finding distinct developmental patterns in cortical and subcortical regions.

The paper estimates genetic, environmental, and subject-specific variance components in cortical morphometry using longitudinal data from the ABCD Study.

The paper uses the ABCD Study to determine optimal replication sample sizes for reproducible brain-behavior associations using neuroimaging data.

MiXeR-Pred improves polygenic prediction by leveraging genetic overlap between complex phenotypes, outperforming primary GWAS and MTAG approaches.

FEMA enables fast and efficient mixed-effects analyses of large-scale whole-brain imaging data, revealing distinct spatial patterns of brain maturation in early adolescence.

This study identifies 114 novel genomic loci for anxiety and finds extensive genetic overlap with schizophrenia, bipolar disorder, major depression, and ADHD.

This study identifies 72 genetic loci associated with basal ganglia volumes and finds significant genetic overlaps with Parkinson's disease, schizophrenia, and migraine.

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 determines the minimum sample size needed for multisite harmonization using structural brain MRI features and shows how sample size requirements increase with site variability.

The paper describes MRI acquisition, quality assurance, and quality check protocols for a longitudinal study on brain disorders using stem cells, showing consistent and reliable data acquisition.