Jakub Kopál

Mapping genetic convergence across brain structure, mental health, and cardiometabolic disease

This study investigates genetic overlaps between psychiatric disorders, cardiometabolic diseases, and brain structure to understand shared and distinct genetic pathways contributing to comorbidity.

FEMA-Long: Modeling unstructured covariances for discovery of time-dependent effects in large-scale longitudinal datasets

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

Carriers of LRRK2 pathogenic variants show a milder, anatomically distinct brain signature of Parkinsons disease

This study examines how LRRK2 pathogenic variants affect brain structure in Parkinson's disease patients and non-manifesting carriers, finding milder cortical atrophy in LRRK2 PD patients and no atrophy in carriers.

Shared Molecular Landscape of Human Brain Structure and Systemic Metabolism

The paper identifies extensive phenotypic and genetic links between systemic metabolism and brain morphology using UK Biobank data.

Genomic deletion and duplication effects on cognitive ability lie at the opposing ends of the cortical sensorimotor-association hierarchy

The paper develops a method to analyze genomic deletions and duplications across the cerebral cortex and finds opposing effects on cognitive ability depending on gene expression patterns in different cortical regions.

High-effect gene-coding variants impact cognition, mental well-being, and neighborhood safety substrates in brain morphology

The paper investigates the impact of rare high-effect genetic variants on brain morphology and related behavioral traits in adolescents using the ABCD cohort.

Using rare genetic mutations to revisit structural brain asymmetry

The paper investigates how rare genetic mutations affect brain asymmetry by analyzing CNVs in a cohort of individuals and linking genetic alterations to brain structure and function.

Bayesian modeling disentangles language versus executive control disruption in stroke

This study uses Bayesian modeling to analyze stroke patient data and identifies distinct brain regions associated with language and executive control impairments.

Bringing language to dynamic brain states: the default network dominates neural responses to evolving movie stories

The paper uses natural language processing to analyze how brain states respond to movie narratives, finding the default network is most involved in semantic integration.

Rare CNVs and phenome-wide profiling: a tale of brain-structural divergence and phenotypical convergence

The paper investigates how eight rare CNVs affect brain structure and phenotypes across 534 carriers, finding structural divergence and phenotypic convergence despite different genetic origins.

Dynamic connectivity analyses of intracranial EEG during recognition memory reveal various large-scale functional networks

The paper analyzes intracranial EEG data during recognition memory tasks to identify dynamic large-scale brain networks and their functional properties.

Typicality of Functional Connectivity robustly captures motion artifacts in rs-fMRI across datasets, atlases and preprocessing pipelines

The paper introduces a measure called Typicality of Functional Connectivity to assess motion artifacts in resting state fMRI data across multiple datasets and preprocessing pipelines.