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Connectivity-Based Analysis of the Stimulation Effects of Globus Pallidus Interna Deep Brain Stimulation in Parkinson’s Disease: A Focus on Freezing of Gait
Sungyang Jo, Moongwan Choi, Jihyun Lee, Sangjin Lee, Hwon Heo, Chong Hyun Suh, Woo Hyun Shim, Junhyung Kim, Sang Ryong Jeon, Hyunna Lee, Sun Ju Chung
J Mov Disord. 2025;18(4):327-336.   Published online July 30, 2025
DOI: https://doi.org/10.14802/jmd.25005
  • 3,219 View
  • 104 Download
AbstractAbstract PDFSupplementary Material
Objective
Freezing of gait (FOG) significantly affects quality of life and increases the risk of falls in patients with Parkinson’s disease (PD). Although deep brain stimulation (DBS) of the globus pallidus interna (GPi) is effective in managing motor complications, its efficacy in treating FOG remains inconsistent. This study aimed to determine whether preoperative structural brain connectivity can predict both the presence of FOG and its postoperative improvement following GPi DBS.
Methods
We retrospectively analyzed 58 patients with PD who underwent GPi DBS. Preoperative diffusion tensor imaging was used to assess structural connectivity between the volume of activated tissue (VAT) and 82 cortical regions. Machine learning models were developed to predict baseline FOG and postoperative FOG improvement (defined as a ≥1- or ≥2-point reduction) using demographic and connectivity features.
Results
Machine learning models incorporating structural connectivity features between the VAT and cortical regions—including the prefrontal, cingulate, and premotor cortices—outperformed models based solely on demographic variables in predicting both the presence of preoperative FOG and postoperative improvement. For example, the support vector machine model to predict FOG improvement (≥1-point improvement) achieved an accuracy of 0.65 with demographic data alone, which increased to 0.77 with the addition of structural connectivity features. Similar performance enhancements were observed in sensitivity analyses using stricter FOG thresholds (≥2-point improvement).
Conclusion
Preoperative structural connectivity between the GPi and key cortical regions involved in cognitive control and motor planning predicts FOG responsiveness to DBS. These results highlight the utility of connectomic biomarkers for personalizing DBS strategies and optimizing therapeutic outcomes in patients with advanced PD.
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Association of Depression With Early Occurrence of Postural Instability in Parkinson’s Disease
Yun Su Hwang, Sungyang Jo, Kye Won Park, Seung Hyun Lee, Sangjin Lee, Sun Ju Chung
J Mov Disord. 2023;16(1):68-78.   Published online December 20, 2022
DOI: https://doi.org/10.14802/jmd.22091
  • 5,324 View
  • 178 Download
  • 3 Web of Science
  • 4 Crossref
AbstractAbstract PDFSupplementary Material
Objective
Depression in Parkinson’s disease (PD) affects the quality of life of patients. Postural instability and gait disturbance are associated with the severity and prognosis of PD. We investigated the association of depression with axial involvement in early-stage PD patients.
Methods
This study involved 95 PD patients unexposed to antiparkinsonian drugs. After a baseline assessment for depression, the subjects were divided into a depressed PD group and a nondepressed PD group. Analyses were conducted to identify an association of depression at baseline with the following outcome variables: the progression to Hoehn and Yahr scale (H-Y) stage 3, the occurrence of freezing of gait (FOG), levodopa-induced dyskinesia, and wearing-off. The follow-up period was 53.40 ± 16.79 months from baseline.
Results
Kaplan–Meier survival curves for H-Y stage 3 and FOG showed more prominent progression to H-Y stage 3 and occurrences of FOG in the depressed PD group than in the nondepressed PD group (log-rank p = 0.025 and 0.003, respectively). Depression in drug-naïve, early-stage PD patients showed a significant association with the progression to H-Y stage 3 (hazard ratio = 2.55; 95% confidence interval = 1.32–4.93; p = 0.005), as analyzed by Cox regression analyses. In contrast, the occurrence of levodopa-induced dyskinesia and wearing-off did not differ between the two groups (log-rank p = 0.903 and 0.351, respectively).
Conclusion
Depression in drug-naïve, early-stage PD patients is associated with an earlier occurrence of postural instability. This suggests shared nondopaminergic pathogenic mechanisms and potentially enables the prediction of early development of postural instability.

Citations

Citations to this article as recorded by  
  • Efficacy and safety of adjunctive acupuncture for depression and motor symptoms in Parkinson’s disease: study protocol for a randomized controlled trial
    Kaihao Liao, Jing-Qi Fan, Liangman Xiao, Danxia Gu, Mingda Han, Jingyu Nian, Shunan Wu, Li-Xing Zhuang
    Frontiers in Psychiatry.2026;[Epub]     CrossRef
  • Association of motor subtype and tremor type with Parkinson's disease progression: An exploratory longitudinal analysis
    Yuke Zhong, Huahua Su, Ying Liu, Hang Liu, Guohui Liu, Zhihui Liu, Jiahao Wei, Junyi Wang, Yuchen She, Changhong Tan, Lijuan Mo, Lin Han, Fen Deng, Xi Liu, Lifen Chen
    Journal of Parkinson’s Disease.2025; 15(1): 111.     CrossRef
  • Current aspects of the relationship between depression and cognitive impairment in patients with Parkinson’s disease
    M.R. Nodel
    S.S. Korsakov Journal of Neurology and Psychiatry.2025; 125(10): 66.     CrossRef
  • Noisy galvanic vestibular stimulation and static balance in parkinson’s disease: a multimodal resting‑state fMRI feasibility study
    Yun Su Hwang, Jihwan Min, Yongseon Yoo, Jin-Ju Kang, Marianne Dieterich, Seung-Bae Hwang, Jong-Min Lee, Sun-Young Oh
    Journal of NeuroEngineering and Rehabilitation.2025;[Epub]     CrossRef

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