Metabolic connectivity alterations in amyotrophic lateral sclerosis: Individual network analysis based on Wasserstein distances.

Using 18 F-FDG positron emission tomography data from 167 individuals with amyotrophic lateral sclerosis (amyotrophic lateral sclerosis), 36 healthy volunteers (healthy volunteers), and 25 amyotrophic lateral sclerosis mimics, we generated wasserstein distance- and KLSE-based connectivity matrices across 77 atlas-defined brain regions and evaluated corresponding graph theory-based nodal metrics.

Wasserstein distance- and KLSE-derived nodal measures were strongly correlated, indicating methodological consistency.