Personalized fingerprint of neurodegenerative phenotypes using model-based simulations of brain networks

This work provides the first personalized and non-invasive assessment of resting-state networks connectivity and excitatory/inhibitory balance in health and in neurodegenerative diseases (Alzheimer’s disease, Frontotemporal Dementia). Multiple networks were characterized at single-subject level performing brain dynamics simulations with The Virtual Brain (TVB). TVB-derived parameters identified specific network properties (at single network and inter-network level) and their disruption in neurodegeneration, underlined the relationship between neurophysiology and neuropsychology, and outlined a personalized fingerprint sensitive to clinical severity. This model-based simulation of brain networks functional dynamics lay the groundwork for customized biomarkers research and defines new trajectories for designing novel tailored interventional workflows.