Julian Caspers

This study compares the test-retest reliability of functional brain networks from resting-state and naturalistic viewing paradigms across two sessions, showing increased reliability with naturalistic viewing but varying by stimuli and networks.

This study compares voxel-wise and region-wise denoising in functional connectivity analyses, finding region-level denoising offers equal or better performance with reduced computational cost.

This study uses simulated brain networks from MRI data to show differences between Parkinson's patients and healthy controls, correlating with disease severity and duration.

This paper compares 128 machine learning workflows for brain-age prediction using neuroimaging data, finding that feature representation and algorithm choice affect performance, and that brain-age delta correlates differently within-site and cross-site.

This study uses simulated whole-brain connectomes to classify Parkinson's disease patients against healthy controls, showing improved classification when combining empirical and simulated data.