Current challenges in neurodegenerative diseases (ND): need for early and accurate markers for differential diagnosis, prognosis, progression tracking and intervention assessments.
Big-data neuroimaging studies might help addressing these challenges. However, large-sample neuroimaging data still lacks standardization (multi-vendor acquisition, analysis) and cross –validation (across markers, across large populations), in particular with state-of-the-art MRI hardware (≥32 head RF channel coils and powerful gradients).
Here we: i) evaluate current barriers perceived by the broad neuroimaging research/clinical/industry communities for the large-scale harmonization of MRI/PET-SPECT/EEG neuroimaging methods in the context of ND studies, and ii) propose actions that may help addressing these barriers.
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