Lena Dorfschmidt

The paper models age-varying sex differences in brain structure using MRI data from 100,000 individuals, showing consistent sex biases that increase with age and are influenced by neuropsychiatric disorders.

The paper evaluates SynthSeg's performance on developmental MRI scans and finds that rescaling to adult brain sizes improves segmentation accuracy in infants and children.

The paper examines how environmental factors influence brain structure, cognition, and mental health in adolescents using the ABCD dataset, finding that advantageous environments correlate with better developmental outcomes.

This paper introduces ReForm, a method to calibrate MRI-based reference intervals for new samples without sharing reference data, showing comparable or better false positive rate control than alternative methods.

The paper introduces conditional-longitudinal models to analyze brain growth trajectories and finds associations between birth weight, psychopathology, and brain volume changes in adolescents.

The paper introduces dGAMLSS, a distributed algorithm for fitting GAMLSS models to construct population reference charts without sharing patient data.

The paper shows that brain abnormalities after preterm birth are spatially heterogeneous but temporally consistent and plastic in response to social environments.

This study identifies two ASD subgroups with distinct brain morphology using cross-cultural datasets, highlighting key brain regions associated with subgroup characteristics and autistic traits.

This paper presents a normative framework for brain asymmetry across the lifespan using a large neuroimaging dataset, revealing distinct spatial patterns and providing tools for clinical and research applications.

ComBatLS improves multi-site image harmonization by preserving biological variance in features, outperforming existing methods in sex-imbalanced site scenarios and reducing sex biases.

The paper compares brain-behavior associations across different sampling models using ABCD Study data, finding increased effect sizes with tail-sampled groups but mixed results with propensity-matched models.

The paper uses MRI similarity network analysis to study how early life stress affects cortical network development in rats, finding altered inter-areal similarity in key brain regions.

The paper examines layer-specific microstructural asymmetry in the human cortex, finding anterior-posterior patterns linked to function and heritability.

The paper examines sex differences in brain structure at birth in newborns, finding larger brain volumes in males and specific regional differences in gray and white matter volumes between sexes.

This study creates normative brain growth charts for rhesus macaques across their lifespan using MRI data, revealing developmental milestones and cross-species comparisons with humans.

The paper examines how morphometric similarity in brain regions changes during adolescence, finding distinct developmental patterns in paralimbic versus neocortical areas.

The paper examines sex differences in brain network development during adolescence and links them to depression risk, finding divergent patterns in functional connectivity and gene expression.