Using DANTE T1-SPACE and Sandwich Neuromelanin Sequences to differentiate Data-Driven Parkinson’s Disease Subtypes

Motivation: Parkinson's disease (PD) exhibits a diverse range of clinical presentations, necessitating improved subtyping methods and corresponding diagnostic MRI techniques. Goal(s): Evaluate the diagnostic performance of two novel neuromelanin-related sequences, DANTE T1-SPACE and Sandwich NMI for novel data-driven PD subtyping. Approach: Using a statistical data-driven method from to classify PD into three subtypes and comparing their neuromelanin-related contrast-to-noise ratio in the brainstem nuclei. Results: Two sequences differentiated PD from healthy controls but failed to distinguish PD subtypes. Impact: Understanding potential and limitations of novel neuromelanin-related sequences in PD subtype differentiation.