Tomáš Paus

The paper describes the development of a harmonized multisite MRI protocol for pediatric brain imaging and validates its cross-site consistency.

This study examines how different types of adversity affect grey and white matter development in adolescents across two cohorts, finding distinct associations between adversity types and brain structure metrics.

The paper uses longitudinal neuroimaging and behavioural data to show how brain-behaviour relationships shift from externalising to internalising symptoms across adolescence, identifying age 14 as a critical transition point.

This study identifies a shared genetic factor underlying brain age gaps across 30 cohorts, finding 19 SNPs and associations with health traits.

This study identifies developmental differences between dorsomedial and dorsolateral prefrontal cortex using multimodal data and transcriptomics, revealing a medial-lateral topographic division.

This study uses genome-wide meta-regression to analyze social behavior across different contexts, ages, and reporters, identifying six genetic loci and showing modest heritability.

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.

The paper identifies a CNV duplication associated with higher cognitive ability and shows gene-dosage effects differ between deletions and duplications across biological processes.

The paper links regional human cortex development and aging to molecular and cellular brain organization patterns using neuroimaging and gene expression data.

This study develops an individualized in vivo marker of excitation-inhibition balance in adolescents using biophysical network models and finds increased inhibition in association cortices during development.

This study shows that a brain network for sustained attention at age 14 predicts increased cannabis and cigarette use by age 23 in a longitudinal cohort.

This study shows that rare CNVs and PRS-IQ increase ASD risk independently of their effects on cognitive ability, suggesting ASD risk and cognitive ability are distinct outcomes of these variants.

This study uses federated analysis in COINSTAC to examine functional network connectivity in adolescent brains linked to smoking and alcohol consumption, finding hypoconnectivity and reduced synchronization.

The paper examines age-related variations in cortical thickness across different life stages using gene expression data from a large neuroimaging dataset.

This study uses Mendelian randomization to examine bidirectional causal effects between brain morphology and Alzheimer's disease risk across different life stages.

RTStaR standardizes and registers lipidomic datasets to match and identify unique lipid species across different matrices and organisms.

The paper links cortical thinning across the lifespan to gene expression profiles of specific cell types using gene expression data and MRI datasets.

The paper identifies hypometabolic regions in Alzheimer's disease using PET data and links them to transcriptomic changes in a specific donor's brain, highlighting microglia and ribosomal proteins.

This study identifies a genetic variant in CSMD1 associated with amygdala connectivity and prosocial behavior through a GWAS of brain networks in adolescents.

The paper estimates the effect sizes of deletions and duplications on autism risk and IQ using statistical models applied to CNV data from multiple cohorts.

This study examines the independent effects of socioeconomic status and genetic factors on brain development and cognition in adolescents, finding distinct associations with cortical surface area and working memory.

This study examines age-related changes in PSMD across the adult lifespan using multi-cohort diffusion tensor imaging data, finding PSMD increases consistently while other metrics show different age patterns.

The paper characterises and stratifies reinforcement-related behaviours by analysing neural activation patterns in adolescents using a statistical framework.

The paper quantifies the effect of copy number variants on cognitive ability using genomic data from 24,092 individuals, finding that 10,000 genes modulate intelligence.

The paper reports epigenome-wide meta-analyses of blood DNA methylation with subcortical brain volumes, identifying significant associations with hippocampal volume and potential biological mechanisms.

This study examines the relationship between sleep patterns and grey matter volumes in adolescents, finding that later weekend wake-up times are linked to reduced grey matter in specific brain regions and increased psychological symptoms.

This study uses satellite data to assess urbanicity's impact on brain structure, function, and behavior in adolescents across two populations, finding correlations with brain volume and depression symptoms.

The paper investigates age-related changes in error processing during adolescence using electrophysiological and behavioral measures, finding increased ERN amplitude and age-related improvements in post-error adjustments.

The paper identifies genetic associations with cortical surface area using PCA and GWAS, linking DAAM1 to visual cortex development through mitochondrial pathways and thalamocortical input.

The paper identifies a new white matter tract, the superoanterior fasciculus, using diffusion MRI tractography and validates it across multiple cohorts and techniques.