Stefan Borgwardt

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

This study examines how prior information affects perceptual decision-making in psychosis, finding that individuals with psychosis show reduced sensory gain and increased pre-evidence biases compared to healthy controls.

This study applies personalized tDCS targeting V5 to modulate sensorimotor integration during pursuit eye movements, showing specific effects on pursuit initiation.

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 investigates LSD's effects on brain connectivity using fMRI and finds increased interregional connectivity and reduced self-inhibition, suggesting a disruption of the Excitation/Inhibition balance.

The paper benchmarks and optimizes a normative modeling framework for brain morphometry across the lifespan using MFPR, showing excellent accuracy and stability.

The paper demonstrates a data harmonization process for memory testing across 53 studies, reducing inter-site variance while preserving covariate effects.

This study shows that regular daytime caffeine intake in men reduces REM sleep promotion and worsens sleep quality compared to placebo.

This study shows daily caffeine intake impairs working memory and reduces hippocampal activity in healthy adults, with acute withdrawal also affecting cognitive performance.

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 study shows that daily caffeine intake reduces grey matter volume in humans and impairs working memory, suggesting potential long-term cognitive detriments.

This study shows that suppressing REM sleep increases negative affect and amygdala responses to social exclusion the next day, but not emotional regulation through reappraisal.

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.

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

This study investigates the impact of daily caffeine intake on nighttime sleep in habitual consumers, finding no significant differences in sleep structure or quality but reduced sigma frequency EEG power density, suggesting early signs of overnight withdrawal.

This study analyzes subcortical volume changes across the lifespan using MRI data from 18,605 individuals, finding age-related declines in some structures and increases in others.

This study examines how daily caffeine intake and withdrawal affect circadian rhythms and wakefulness in habitual consumers, finding no significant changes in melatonin or cortisol but increased sleepiness and attentional lapses during withdrawal.

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.

The paper develops deep learning models to assess the quality of subcortical brain shape models from MRI, reducing human rater time by 46-70%.

This work uses machine learning to automate quality control of 3D brain shape models, reducing human workload by 30-70% across multiple datasets and diseases.