AIMC Journal:
NPJ Parkinson's disease

Recent machine-learning techniques may be useful to identify subtypes with distinct spatial patterns of biomarker abnormality in the various neurodegenerative diseases. Using the Subtype and Stage Inference (SuStaIn) technique, we categorized data-dr...

Parkinson's disease (PD) exhibits a variety of symptoms, with approximately 25% of patients experiencing mild cognitive impairment and 45% developing dementia within ten years of diagnosis. Predicting this progression and identifying its causes remai...

We aimed to develop a convolutional neural network (CNN) model with multi-task learning to predict the onset of levodopa-induced dyskinesia (LID) in patients with Parkinson's disease (PD) using baseline [F]FP-CIT PET images. In this retrospective, si...