Uncertain-graph framework for restingstate connectivity analysis in coma
Résumé
Coma leads to persistent cognitive deficits, but underlying network disruptions remain unclear. Resting-state functional connectivity (FC) often probes these changes with graph-based metrics. Traditional graph approaches have key limitations:
1. FC edges are based on correlations between regional mean signals, discarding voxel-level variability.
2. Graph construction relies on arbitrary thresholds, which may exclude patients with severely disrupted connectivity.
To address these challenges, we developed a voxel-informed, probabilistic framework for subject-level networks with finer granularity than traditional thresholded graphs.
Domaines
| Origine | Fichiers produits par l'(les) auteur(s) |
|---|---|
| Licence |