Tim Hahn

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

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

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

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

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.

The paper replicates a brain age gap in depression using a large-scale multisite study, finding a similar effect size to a prior study.

This study shows that global brain health, measured by brain age, influences post-stroke sensorimotor outcomes and mediates the effect of lesion damage.

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

The paper analyzes cortical thickness trajectories in 17,075 individuals to show peak thickness in childhood, steep decline in early adulthood, and slower decline later, with notable exceptions and significant inter-individual variability.

This paper examines brain aging in major depressive disorder (MDD) using a large dataset, finding that MDD patients show increased brain age differences compared to controls.

The paper proposes a framework combining neuroimaging and clinical data for mental health diagnosis using EasyMKL and feature selection, showing improved performance over baseline methods.