Marina Papoutsi

The paper investigates WM loss in premanifest HD, finding early reductions in specific tracts 11 years before onset and correlations with motor scores.

This study uses machine learning to analyze 608 participants and identifies two factors improving neurofeedback performance: pre-training no-feedback runs and training patients over healthy participants.

This study investigates whether pre-training brain activity can predict success in real-time fMRI neurofeedback learning across 24 studies and 401 participants, finding a weak correlation but no consistent predictors.

This study evaluates neurofeedback training in Huntington’s disease, finding that while it can guide brain activity regulation, there was no robust evidence of clinical benefit or transfer of learning.