Alterations in topological and dynamical parameters correlate with disease biomarkers and neuropsychological scores in prodromic stages of dementia - PubMed
3 hours ago
- #Graph theory
- #Alzheimer's disease
- #Virtual brain modeling
- Graph theory and virtual brain modeling are combined to analyze brain network topology and dynamics in MRI data.
- This approach reveals significant reshaping of connectivity in mild cognitive impairment and Alzheimer's disease, affecting key networks like default mode, limbic, attention, and somatosensory.
- AD biomarkers (Aβ and τ) in MCI correlate with network topology, while a virtual brain parameter (recurrent excitation) correlates with reduced global cognition.
- Combining both techniques provides a subject-specific MCI phenotype sensitive to biomarkers and correlates well (~70%) with neuropsychological scores.
- This method could enable more precise stratification in prodromal dementia for personalized prediction and therapeutic interventions.