Reinhold Schmidt

The paper examines 11 DNAmAges in 785 elderly participants to assess their predictive power for cognitive function and decline, finding varying performance across cognitive domains and significant effects in ApoE4 carriers.

This study investigates the genetic and environmental factors influencing head motion during MRI, finding no significant single variants and no mediation by physiological or psychological factors.

This paper develops a radiomic signature from T2-FLAIR MRI images to predict white matter hyperintensities burden and links it to clinical phenotypes.

This study identifies sex-specific lesion patterns in acute ischemic stroke that correlate with stroke severity, highlighting differences in lesion distribution between men and women.

This study examines age-related changes in PSMD across the adult lifespan using multi-cohort diffusion tensor imaging data, finding PSMD increases consistently while other metrics show different age patterns.

The paper uses automated MRI segmentation to quantify SVD brain changes and shows they predict cognitive and functional decline.

The paper identifies subtype-specific genetic loci associated with stroke subtypes and finds heterogeneity in their effects across different stroke types.

This study identifies genetic loci specific to periventricular and deep white matter hyperintensities, revealing distinct genetic architectures and potential biological mechanisms.

The paper identifies genetic associations with cortical surface area using PCA and GWAS, linking DAAM1 to visual cortex development through mitochondrial pathways and thalamocortical input.

The paper presents an automated pipeline for quantifying white matter hyperintensity in acute ischemic stroke cohorts, showing improved accuracy and enabling large-scale analysis.

This paper introduces a meta-analytical method that achieves IPD-level results using only aggregate data, enabling robust analysis when individual participant data cannot be shared.