Frontal subregion connectivity changes linked to motor dysfunction in Parkinson's disease

High-resolution frontal network analysis yielded 91.69% accuracy for Parkinson's diagnosis and 91.90% for subtype differentiation, with topological alterations in left rostral middle frontal gyrus correlating with motor scores.

• Topological features achieved 91.69% accuracy for PD diagnosis and 91.90% for subtype differentiation, surpassing connectivity-based features.
• The left rostral middle frontal gyrus showed increased connectivity density and degree, while orbitofrontal cortices showed decreases.
• These topological alterations were significantly correlated with UPDRS-III motor scores.

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