Catharina Annette Hartman

The paper investigates polygenic and familial factors influencing antidepressant treatment outcomes in two cohorts, finding associations between depression polygenic scores and treatment switching, with some links to schizophrenia and bipolar disorder.

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.

This study identifies cell type-specific DNA methylation associations with childhood ADHD symptoms using deconvolution and sequencing-based methylation data from peripheral and cord blood.

This study identifies 52 genetic variants associated with adolescent-onset depression through a large GWAS, revealing age-specific mechanisms and potential drug targets.

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.

This study conducts a genome-wide association analysis of generalised anxiety symptom severity, identifying 80 significant variants and showing genetic correlations with other mental and physical health traits.

This study identifies genetic risk factors for panic attacks and disorder through genome-wide meta-analysis and links them to multiple body systems and neuronal functions.

This study identifies 1,257 genetic variants associated with human personality traits using large-scale GWAS and finds widespread genetic correlations with behaviors and life outcomes.

This paper conducts a genome-wide association meta-analysis of age at onset of walking, identifying 11 loci and showing genetic correlations with ADHD, BMI, intelligence, and brain structure.

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

The paper identifies ten genes associated with ADHD-related grey matter brain networks in a sample of 899 individuals.

This study identifies genetic variants associated with antisocial behavior through a genome-wide association meta-analysis, finding significant links to FOXP2 and correlations with multiple health and behavioral traits.

This study analyzes structural brain asymmetries in ADHD using 39 datasets, finding small effects that do not meet study-wide significance thresholds.

This study identifies task-generic and task-specific connectivity modulations in ADHD brains across multiple tasks, finding reduced task-generic and increased task-specific connectivity in ADHD compared to controls and unaffected siblings.

This study uses machine learning to show that structural brain anomalies in ADHD are similar in children and adults, supporting continuity of the disorder's pathophysiology.

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 finds ADHD is genetically more closely linked to neurodevelopmental disorders than externalizing or internalizing disorders after accounting for a general psychopathology factor.

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

The paper investigates white matter microstructure in ADHD using tractography, finding no significant FA associations with diagnosis but links lower FA in the right cingulum angular bundle to hyperactivity/impulsivity symptoms.

This study identifies genetic variants linked to longitudinal brain structure changes across the lifespan using MRI data from 15,640 individuals.

The paper uses independent component analysis to identify reduced fronto-striatal volume in ADHD across two cohorts, showing consistent results across age and demographic differences.

The paper identifies structural brain network alterations in ADHD and their association with symptoms and cognitive function using source-based morphometry in a family cohort.

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 compares structural brain differences across ADHD, ASD, and OCD using MRI data from multiple cohorts, finding disorder-specific alterations in brain volume and cortical thickness.

This study identifies 46 novel genetic loci associated with alcohol consumption and suggests shared genetic mechanisms with neuropsychiatric disorders using GWAS and functional analyses.

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

This study identifies 4 new risk loci for cannabis use through GWAS, finds genetic overlap with mental health, and shows a causal link between schizophrenia and cannabis use.