A multimodal MRI-based classification signature emerges just prior to symptom onset in frontotemporal dementia mutation carriers

Abstract

Our findings imply that presymptomatic FTD mutation carriers may remain similar to controls in terms of MRI-based classification scores until they are close to symptom onset. This proof-of-concept study shows the promise of longitudinal MRI data acquisition in combination with machine learning to contribute to early FTD diagnosis.