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Non-motor symptoms burden and motor recovery following STN-DBS in Parkinson's disease: a data-driven longitudinal analysis.

J Neurol · 2026-10-01

DOI: 10.1007/s00415-026-14160-xPMID: 42823526

Open accessresearch-article; Journal ArticleOriginal source ↗

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BackgroundSubthalamic nucleus-deep brain stimulation (STN-DBS) reliably improves cardinal motor symptoms in Parkinson's disease (PD). However, gait disorders and non-motor symptoms (NMS) may persist or emerge following surgery, diminishing quality of life and complicating clinical management.ObjectivesTo characterize the dominant axes of clinical covariance across motor and non-motor domains before and after STN-DBS, and to determine whether non-motor symptom severity moderates post-DBS gait and mobility change.Methods100 PD patients undergoing STN-DBS (mean age 60.2 ± 7.6 years; 67% male) were studied. Principal component analysis (PCA) was performed on thirteen motor and non-motor sub-scores at pre-DBS, 1-year follow-up (1-y FU), and a subset (n = 33) at 3-5-year follow-up. Moderation was tested using analysis of covariance (ANCOVA): each 1-year motor outcome was regressed on its pre-DBS baseline, a non-motor moderator, and their interaction, adjusting for age and disease duration, with a significant interaction indicating that baseline non-motor severity was associated with the degree of subsequent motor recovery.ResultsPCA identified a core motor triad: gait, mobility, and freezing of gait as the primary source of clinical variance at all timepoints (PC1: 35% pre-DBS, declining to 28% at 3-5-y FU), PC1 was the only component to exceed a permutation null (p ConclusionsSTN-DBS outcomes extend beyond global motor improvement and may be shaped by associations spanning the motor, cognitive, and mood domains. Higher NMS baseline burden was associated with poorer mobility recovery, and mood symptoms at follow-up were associated with concurrent motor burden. These exploratory findings support considering multi-domain pre-operative assessment and post-operative mood monitoring, as potential targets for optimizing motor outcomes.

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