Validation of Alzheimer's and Parkinson's neuroimaging biomarkers
Our previous research has lead to creation of a machine-learning based model (biomarker) achieving high accuracies (~93%) using MRI T1 structural data from the ADNI and the PPMI databases, for the early identification of Alzheimer’s and Parkinson’s Diseases (versus related disorders). As a subsequent validation stage, we now aim to run the same models in an independent sample of MRI T1 structural data from SLAM patients (Memory Clinic) with the corresponding diagnoses recorded in CRIS.