Hang Zhao, Yu-Wei Chang, Joana Pereira, Giovanni Volpe
Date: 7 August 2025
Time: 11:00–11:15 AM
Place: Conv. Ctr. Room 4
Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder that disrupts brain connectivity and cognitive function. Identifying individual-level alterations in brain networks is crucial for early diagnosis and targeted interventions. In this study, we develop an analytical pipeline, packaged as a specialized distribution of BRAPH 2.0, to investigate the individual brain connectome in AD, mild cognitive impairment (MCI), and cognitively normal (CN) individuals. This pipeline integrates graph-theoretical measures to assess functional network properties on Fludeoxyglucose positron emission tomography (FDG-PET), enabling classification of subjects into the three diagnostic groups. Our approach demonstrated the potential of individualized connectome-based analysis for disease stratification. The proposed methodology offers a data-driven framework for identifying key network alterations in AD, supporting the development of more precise diagnostic and therapeutic strategies.