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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
  • 4,433 View
  • 124 Download
  • 1 Web of Science
  • 1 Crossref
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.

Citations

Citations to this article as recorded by  
  • Predictors of motor outcome with pallidal stimulation for Parkinson’s disease from the CSP468 cohort
    Shawn D’Souza, Aashish Batheja, Jeffrey Chen, Harsh P. Shah, Vikram Seshadri, Nina Opem, Omar Al-Dulaimi, Jamie Toms, Pierre D’Haese, Benoit M. Dawant, Rui Li, Paul Koch, Paul Larson, Kathryn L. Holloway
    npj Parkinson's Disease.2026;[Epub]     CrossRef
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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
  • 6,590 View
  • 185 Download
  • 3 Web of Science
  • 5 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

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  • 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
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    M. R. Nodel
    Neuroscience and Behavioral Physiology.2026; 56(3): 542.     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
Case Report
Focused Vibrotactile Stimulation with Cueing Effect on Freezing of Gait in Parkinson’s Disease: Two Case Reports
Xiu Sheng Tan, Floyd Pierres, Alex Dallman-Porter, William Hardie-Brown, Kyum-Yil Kwon
J Mov Disord. 2021;14(3):236-238.   Published online September 8, 2021
DOI: https://doi.org/10.14802/jmd.21076
  • 12,153 View
  • 230 Download
  • 11 Web of Science
  • 11 Crossref
AbstractAbstract PDFSupplementary Material
Freezing of gait (FOG) is a common occurrence in patients with Parkinson’s disease (PD) that leads to significant limitations in mobility and increases risk of falls. Focused vibrotactile stimulation and cueing are two methods used to alleviate motor symptoms, including FOG, in patients with PD. While effective on their own, the effect of combining both focused vibrotactile stimulation and cueing has yet to be investigated. Two patients, both with a history of PD, suffered from frequent FOG episodes that failed to respond adequately to medication. A novel vibrotactile stimulation device that delivered rhythmic kinesthetic stimuli onto the sternum successfully reduced FOG episodes in both patients and drastically improved their mobility as measured by the Timed Up and Go test. We found that a combination of focused vibrotactile stimulation and cueing was effective in reducing FOG episodes in two patients with PD. Further well-designed prospective studies are needed to confirm our observations.

Citations

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  • Identification of anatomical locations: its relevance for vibrotactile perception of individuals with Parkinson's disease
    Ankita Raghuvanshi, Priya Pallavi, Rahul Chhatlani, Jayesh Parmar, Manish Rana, Sagar Betai, Uttama Lahiri
    BioMedical Engineering OnLine.2025;[Epub]     CrossRef
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    Viktoria Azoidou, Kira Rowsell, Ellen Camboe, Kamalesh C. Dey, Alexandra Zirra, Corrine Quah, Thomas Boyle, David Gallagher, Alastair J. Noyce, Cristina Simonet
    Parkinsonism & Related Disorders.2025; 133: 107349.     CrossRef
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    Viktoria Azoidou, Essa Bhadra, Kira Rowsell, Ellen Camboe, Kamalesh Dey, Alexandra Zirra, Corrine Quah, Caroline Budu, Thomas Boyle, David Gallagher, Alastair Noyce, Cristina Simonet
    BMJ Open.2025; 15(4): e096051.     CrossRef
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    S.M. Tiell, B.L. Davis
    Clinical Biomechanics.2025; 130: 106676.     CrossRef
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    Elham Ghazizadeh, Zahra Naseri, Hans-Peter Deigner, Hossein Rahimi, Zeynep Altintas
    Frontiers in Medicine.2024;[Epub]     CrossRef
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    Viktoria Azoidou, Alastair J Noyce, Cristina Simonet
    Clinical Parkinsonism & Related Disorders.2024; 11: 100284.     CrossRef
  • Tapping into tissue bioelectromechanics: Electroactive biopolymers for dynamic tissue engineering
    Matthew K. Burgess, Malavika Nair
    APL Materials.2024;[Epub]     CrossRef
  • Therapeutic Devices for Motor Symptoms in Parkinson’s Disease: Current Progress and a Systematic Review of Recent Randomized Controlled Trials
    Joji Fujikawa, Ryoma Morigaki, Nobuaki Yamamoto, Teruo Oda, Hiroshi Nakanishi, Yuishin Izumi, Yasushi Takagi
    Frontiers in Aging Neuroscience.2022;[Epub]     CrossRef
  • Exploring a New Cueing Device in People Who Experience Freezing of Gait: Acceptance of a Study Design
    Agnes Wilhelm, Tanja Riedl, Christian Paumann, Jessie Janssen, Hélio Teive
    Parkinson's Disease.2022;[Epub]     CrossRef
  • Technological support for people with Parkinson’s disease: a narrative review
    Tommaso Di Libero, Elisa Langiano, Chiara Carissimo, Maria Ferrara, Pierluigi Diotaiuti, Angelo Rodio
    Journal of Gerontology and Geriatrics.2022; : 1.     CrossRef
  • Future Therapeutic Strategies for Freezing of Gait in Parkinson’s Disease
    Cathy K. Cui, Simon J. G. Lewis
    Frontiers in Human Neuroscience.2021;[Epub]     CrossRef
Original Article
Article image
Heterogeneous Patterns of Striatal Dopamine Loss in Patients with Young- versus Old-Onset Parkinson’s Disease: Impact on Clinical Features
Seok Jong Chung, Han Soo Yoo, Yang Hyun Lee, Phil Hyu Lee, Young H. Sohn
J Mov Disord. 2019;12(2):113-119.   Published online May 30, 2019
DOI: https://doi.org/10.14802/jmd.18064
  • 12,169 View
  • 178 Download
  • 32 Web of Science
  • 34 Crossref
AbstractAbstract PDFSupplementary Material
Objective
Ample evidence has suggested that age at onset of Parkinson’s disease (PD) is associated with heterogeneous clinical features in individuals. We hypothesized that this may be attributed to different patterns of nigrostriatal dopamine loss.
Methods
A total of 205 consecutive patients with de novo PD who underwent 18F-FP-CIT PET scans (mean follow-up duration, 6.31 years) were divided into three tertile groups according to their age at onset of parkinsonian motor symptoms. Striatal dopamine transporter (DAT) availability was compared between the old- (n = 73) and young-onset (n = 66) groups. In addition, the risk of developing freezing of gait (FOG) and longitudinal requirements for dopaminergic medications were examined.
Results
The old-onset PD group (mean age at onset, 72.66 years) exhibited more severe parkinsonian motor signs than the young-onset group (52.58 years), despite comparable DAT availability in the posterior putamen; moreover, the old-onset group exhibited more severely decreased DAT availability in the caudate than the young-onset group. A Cox regression model revealed that the old-onset PD group had a higher risk for developing FOG than the young-onset group [hazard ratio 2.523, 95% confidence interval (1.239–5.140)]. The old-onset group required higher doses of dopaminergic medications for symptom control than the young-onset group over time.
Conclusion
The present study demonstrated that the old-onset PD group exhibited more severe dopamine loss in the caudate and were more likely to develop gait freezing, suggesting that age at onset may be one of the major determinants of the pattern of striatal dopamine depletion and progression of gait disturbance in PD.

Citations

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    Changhwan Sung, Jungsu S. Oh, Sun Young Chae, Dong Yun Lee, Minyoung Oh, Sang Ju Lee, Seung Jun Oh, Sungyang Jo, Sun Ju Chung, Jae Seung Kim, Kewei Chen
    PLOS One.2026; 21(5): e0349375.     CrossRef
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    Yeeun Sun, Youngseok Choi, Chan Wook Park, Han Kyu Na, Hye Sun Lee, Yun Joong Kim, Young H. Sohn, Phil Hyu Lee, Jeyeon Lee, Seok Jong Chung
    Movement Disorders.2026;[Epub]     CrossRef
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    Neurobiology of Disease.2026; 227: 107519.     CrossRef
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    Chan Wook Park, Sanghyun Park, Seok Jong Chung, Phil Hyu Lee, Dong-Wook Kim
    Cell Stem Cell.2026;[Epub]     CrossRef
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    Areej Turkistani, Hayder M. Al-kuraishy, Ali I. Al-Gareeb, Ali K. Albuhadily, Athanasios Alexiou, Marios Papadakis, Mohamed M. Elfiky, Hebatallah M. Saad, Gaber El-Saber Batiha
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