Jaroslav Rokicki

This study compares thalamic nucleus volumes across multiple psychiatric and neurological disorders using MRI, finding significant volume reductions in specific regions associated with different conditions.

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

The paper investigates the genetic architecture of the corpus callosum and its overlap with psychiatric and substance use phenotypes using GWAS summary statistics and causal mixture models.

The paper identifies genetic loci associated with corpus callosum subregion volumes and finds genetic correlations with psychiatric disorders and related traits.

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

This study evaluates performance metrics in brain-age prediction across datasets, showing variability based on age range, sample size, and age-bias correction.

This study identifies 856 genetic loci associated with sulcal depth through a genome-wide association study using UK Biobank data, showing higher heritability and locus yield compared to cortical thickness and surface area.

The paper identifies genetic loci associated with brainstem volumes and finds genetic overlaps with psychiatric and neurological disorders.

This study examines age-related changes in the T1w/T2w ratio across the cortical surface in children and adolescents, linking it to cognitive development and sex differences.

The paper examines associations between multimodal brain structural MRI measures and age, sex, and polygenic scores for neuroticism in children and adolescents, finding age and sex effects but weak polygenic associations.

This study uses diffusion tensor imaging and machine learning to predict brain age in schizophrenia and bipolar disorder patients, finding age overestimation in both groups compared to controls.

The paper identifies genetic loci associated with variability in brain volumes and thickness, showing they are distinct from loci affecting mean volumes.

The paper estimates brain age gaps using MRI and machine learning in individuals with and without brain disorders, finding heritability and genetic overlap with common disorders.

This study maps oxytocin pathway gene expression in the human brain and links it to brain function using fMRI, showing enrichment in specific regions and interactions with dopamine and acetylcholine systems.

The paper examines age-related changes in gray/white matter contrast and links them to psychopathology and cognitive ability in youth using MRI data.

This study identifies 15 genome-wide significant loci associated with hippocampal subfield volumes in 21,297 individuals, revealing distinct genetic determinants for different subfields.

The paper uses diffusion tensor imaging to identify white matter abnormalities in schizophrenia and bipolar disorder, finding distinct patterns between groups and age-related changes in schizophrenia.

This paper investigates brain structural heterogeneity in schizophrenia and finds that polygenic risk is associated with thinner fronto-temporal cortices and smaller hippocampal subfields, but not with increased variability.

The paper examines how autozygosity and schizophrenia polygenic risk scores relate to cognitive and brain development in a population cohort.