Udo Dannlowski

This paper identifies cross-species EEG biomarkers of sleep deprivation using multi-methodological analysis in humans and mice, finding theta power and spectral offset/slope as key features.

The paper identifies neural correlates of interpersonal resilience, finding larger gray matter volume in the left supramarginal gyrus in individuals with secure attachment despite childhood maltreatment.

This study analyzes structural brain network changes in bipolar disorder, finding widespread connectivity disruptions linked to illness severity and medication use.

The paper uses MEG and cortical maps to predict neural activity patterns across age, linking them to anatomical and molecular features.

The paper examines how childhood maltreatment affects brain structure in 3,711 individuals with MDD and PTSD, finding age- and sex-specific brain morphometric differences.

This study identifies 77 genetic loci associated with suicidality through genome-wide association analyses across multiple cohorts and provides biological insights into its genetic architecture.

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

This study identifies small but consistent anatomical correlates of negative symptom dimensions in schizophrenia, linking them to prefrontal cortical thickness and limbic subcortical volumes.

This study investigates the replicability of gray matter correlates of childhood maltreatment across three cohorts and finds no significant replication after controlling for depression.

This study uses graph theory to analyze task-based fMRI data from schizophrenia patients and healthy controls, finding altered network topology associated with cognitive flexibility and stability.

The paper identifies novel CNV loci and dose-dependent gene effects across six psychiatric disorders using genome-wide analysis.

The paper identifies shared and divergent genetic mechanisms across psychiatric disorders using gene-set burden analysis of copy number variants.

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.

The paper develops pathway-specific polygenic scores to predict lithium treatment response in bipolar disorder and finds associations with specific biological pathways.

This study identifies two clusters of severe mental disorder patients with differing illness severity, finding elevated pro-inflammatory serum proteins in the more severe group.

This study identifies lifestyle, early-life, and genetic factors associated with brain age gaps in individuals with major depressive disorder compared to controls.

This study uses normative modeling to analyze cortical thickness deviations in MDD patients and healthy controls, finding large overlaps and significant heterogeneity in extreme deviations across individuals.

The paper identifies neural markers of impending initial major depressive episodes by comparing converters, MDD patients, and healthy controls using voxel-wise gray matter volume analysis.

The paper examines how childhood adversity affects threat learning in healthy adults, finding reduced discrimination between danger and safety signals but not overgeneralization.

The paper identifies neurophysiological markers of cortical hierarchy and shows how these markers change with age using MEG data from 350 participants.

The paper evaluates factors affecting brain-age prediction models using structural neuroimaging data from 35,683 individuals, finding optimal model performance with no site harmonization, age-binning, and a sample size of over 1,600.

This study uses MEG time-series analysis to identify neural markers predictive of age, finding that temporal autocorrelation in specific brain regions is the most robust predictor.

This paper introduces new features for characterizing brain states using MEG data and shows they outperform traditional frequency-based features in classification across participants.

The paper identifies miR-708-5p as a biomarker for bipolar disorder and shows its role in regulating mood disorder-associated behaviors through targeting Nnat.

This study investigates how structural brain alterations in schizophrenia relate to network architecture, finding hub susceptibility and shared epicenters across disease stages and disorders.

This study identifies alternative polyadenylation (APA) as a molecular mechanism linking polygenic risk for schizophrenia to synaptic impairments through functional analysis in induced neurons.

This study maps microstructural abnormalities along white matter tracts in bipolar disorder using multisite diffusion MRI tractometry and identifies significant differences in fractional anisotropy between BD patients and controls.

This study examines how age and parenthood affect whole-brain controllability, finding that parenthood preserves controllability in mothers but not in men.

This paper introduces a polyconnectomic score (PCS) to quantify brain connectivity signatures in neuropsychiatric disorders, showing higher PCS in patients compared to controls across multiple disorders.

This paper investigates how cross-validation affects effect size estimation in brain-wide association studies and finds that cross-validation improves generalizability, especially in small samples.