Andrzej Sokołowski

This study examines the relationship between neural activation during reappraisal tasks and individual differences in emotion regulation, finding no shared overlap across three measures and highlighting methodological challenges in fMRI research.

The paper quantifies numerical variability in MRI analyses of Parkinson's disease and shows it can significantly affect statistical conclusions and p-values.

This study examines how different versions of FreeSurfer affect structural brain measure estimation in Parkinson's disease and shows significant software-induced variability impacting clinical outcomes.

This study replicates findings from Hanganu et al. (2014) on Parkinson's disease neuroimaging biomarkers using PPMI data, finding partial replication of cortical thinning and cognitive decline associations.

This study attempts to reproduce and replicate a machine learning model for predicting Parkinson's disease progression using MRI data, finding lower performance than the original study.