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Abstract Parkinson’s disease is a progressive neurodegenerative disorder that primarily affects the motor system and is often difficult to diagnose in its early stages due to subtle and age-overlapping symptoms. To address this challenge, we propose a hybrid deep learning-based diagnostic framework using T2-weighted MRI scans from the PPMI dataset consisting of 77 healthy control (HC) and 223 Parkinson’s disease (PD) subjects.