Keywords: Functional Connectivity, Brain Connectivity, Virtual lesion
Motivation: Understanding neurodegenerative diseases requires considering selective brain region vulnerability and progressive atrophy.
Goal(s): We seek to develop a computational method to identify dynamic, selectively vulnerable brain regions affected by specific diseases.
Approach: This study introduces a novel graph theory-based technique focusing on functional interactions in atrophy progression.
Results: In Parkinson's disease, our approach demonstrated widespread chronological atrophy across motor and non-motor brain regions, showcasing its effectiveness.
Impact: This pioneering study reveals selective vulnerability in functional brain networks, by employing graph theory and computational methods, advancing neurodegenerative disease understanding. These findings hold promise for tracking disease-specific atrophy patterns, enabling longitudinal assessment and the development of effective therapeutic strategies.
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