Individual Structural Covariance Network Predicts Long-Term Motor Improvement in Parkinson Disease with Subthalamic Nucleus Deep Brain Stimulation

Clinical Improvement: A, Differences in preoperative and long-term postoperative scores for motor and nonmotor scales in patients with DBS improvement rates in the GIG and MIG. Paired t-tests were conducted for data that passed the normality test, while the Wilcoxon signed-rank test was used for data that did not meet the normality assumption. B, Comparison of the improvement rates in motor and nonmotor symptoms between the GIG and MIG. For normally distributed data, a two-sample t test was employed, whereas the Wilcoxon rank-sum test was used for data that did not meet the normality assumption.

Intergroup differences in edges and prediction, A, Comparison of intergroup differences in edges between the GIG (blue) and MIG (red) patient groups for edges that are correlated with DBS improvement rate and ranked in the top 1%. Age, sex, TIV, and MoCA were included as covariates. After FDR correction, significant intergroup differences are found in all 6 edges. B, Prediction of long-term improvement groups in patients using 6 edge features.

The relationship between graph theory metrics and long-term treatment outcomes. Red spherical nodes represent brain regions with P-values corrected for false discovery rate below .05. A, Degree centrality of nodes that correlated with long-term motor prognosis. B, Local efficiency of nodes that correlated with long-term motor prognosis.