Structural Connectivity Alterations Within Frontal Subregions in Parkinson's Disease: Implications for Motor Dysfunction.
TL;DR
Intraregional topological reorganization within the frontal lobe, most prominently in RMF.L, was associated with motor impairment in PD and may reflect maladaptive network remodeling, and high-resolution network analysis may provide a sensitive framework for characterizing intraregional structural reorganization.
Abstract
Rationale
AND
Objectives
Parkinson's disease (PD) is characterized by disrupted basal ganglia-thalamo-cortical connectivity, yet how frontal network topology relates to motor phenotype heterogeneity remains unclear. Conventional atlas-based approaches average out microscale organization within heterogeneous cortical areas. This study aimed to characterize fine-grained frontal subregional connectivity alterations in PD using high-resolution structural network analysis.
Materials And Methods
Twenty-three patients with PD and 22 age- and sex-matched controls underwent diffusion tensor imaging and T1-weighted magnetic resonance imaging. Individual high-resolution frontal networks were constructed, and graph-theoretical metrics were computed for each frontal subregion to quantify connectivity patterns. Consensus Louvain clustering assessed modularity, and machine learning with SHapley Additive exPlanations interpretation performed individual classification.
Results
Patients with PD exhibited heterogeneous topological alterations across multiple frontal subregions (corrected p < 0.05). The left rostral middle frontal gyrus (RMF.L) showed increased density and degree, whereas the lateral and medial orbitofrontal cortices showed decreases. RMF.L further exhibited a greater number of modules together with an altered modular organization. These topological alterations were significantly correlated with UPDRS-III motor scores. Topological features achieved a diagnostic accuracy of 91.69% for PD diagnosis and 91.90% for subtype differentiation, exceeding the performance of connectivity-based features.
Conclusion
Intraregional topological reorganization within the frontal lobe, most prominently in RMF.L, was associated with motor impairment in PD and may reflect maladaptive network remodeling. High-resolution network analysis may provide a sensitive framework for characterizing intraregional structural reorganization in PD and warrants further validation as an adjunctive imaging marker for disease stratification.