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Original Article
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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
  • 2,647 View
  • 103 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.
Erratum
Evidence-Based Review on Symptomatic Management of Huntington’s Disease
Jung Hwan Shin, Hui-Jun Yang, Jong Hyun Ahn, Sungyang Jo, Seok Jong Chung, Jee-Young Lee, Hyun Sook Kim, Manho Kim
J Mov Disord. 2025;18(1):111-111.   Published online December 2, 2024
DOI: https://doi.org/10.14802/jmd.24140e
Corrects: J Mov Disord 2024;17(4):369
  • 3,069 View
  • 114 Download
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Review Article
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Evidence-Based Review on Symptomatic Management of Huntington’s Disease
Jung Hwan Shin, Hui-Jun Yang, Jong Hyun Ahn, Sungyang Jo, Seok Jong Chung, Jee-Young Lee, Hyun Sook Kim, Manho Kim
J Mov Disord. 2024;17(4):369-386.   Published online August 9, 2024
DOI: https://doi.org/10.14802/jmd.24140
Correction in: J Mov Disord 2025;18(1):111
  • 15,620 View
  • 437 Download
  • 4 Web of Science
  • 3 Crossref
  • 2 Comments
AbstractAbstract PDFSupplementary Material
Huntington’s disease (HD) is a neurodegenerative disorder characterized by motor, behavioral, and cognitive impairments and significant impacts on patient quality of life. This evidence-based review, conducted by the Korean Huntington Disease Society task force, systematically examines current pharmacological and nonpharmacological interventions for symptomatic management of HD. Following PRISMA guidelines, databases were searched for studies up to August 2022 that focused on 23 symptoms across four domains: motor, neuropsychological, cognition, and others. This review provides a comprehensive and systematic approach to the management of HD, highlighting the need for more high-quality clinical trials to develop robust evidence-based guidelines.

Citations

Citations to this article as recorded by  
  • A review of treatment methods for movement disorders
    Mahdi Khezri, Shakiba Afsar
    Behavioural Brain Research.2026; 500: 115979.     CrossRef
  • A Practical Guide for Diagnostic Investigations and Special Considerations in Patients With Huntington’s Disease in Korea
    Jangsup Moon, Eungseok Oh, Minkyeong Kim, Ryul Kim, Dallah Yoo, Chaewon Shin, Jee-Young Lee, Jong-Min Kim, Seong-Beom Koh, Manho Kim, Beomseok Jeon
    Journal of Movement Disorders.2025; 18(1): 17.     CrossRef
  • Psychosis in Huntington's disease: A systematic review of case reports
    Aliu Opeyemi Yakubu, Oluwakemi Eunice Olalude, Olorungbami Kolade Anifalaje, Moses Gregory Effiong, Francess Oluwaferanmi Adeyemi, Maryam Abubakar
    General Hospital Psychiatry.2025; 97: 82.     CrossRef
Original Articles
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The Effect of Blood Lipids, Type 2 Diabetes, and Body Mass Index on Parkinson’s Disease: A Korean Mendelian Randomization Study
Kye Won Park, Yun Su Hwang, Seung Hyun Lee, Sungyang Jo, Sun Ju Chung
J Mov Disord. 2023;16(1):79-85.   Published online January 12, 2023
DOI: https://doi.org/10.14802/jmd.22175
  • 7,622 View
  • 155 Download
  • 12 Web of Science
  • 12 Crossref
AbstractAbstract PDFSupplementary Material
Objective
Associations between various metabolic conditions and Parkinson’s disease (PD) have been previously identified in epidemiological studies. We aimed to investigate the causal effect of lipid levels, type 2 diabetes mellitus (T2DM), and body mass index (BMI) on PD in a Korean population via Mendelian randomization (MR).
Methods
Two-sample MR analyses were performed with inverse-variance weighted (IVW), weighted median, and MR-Egger regression approaches. We identified genetic variants associated with lipid concentrations, T2DM, and BMI in publicly available summary statistics, which were either collected from genome-wide association studies (GWASs) or from meta-analyses of GWAS that targeted only Korean individuals or East Asian individuals, including Korean individuals. The outcome dataset was a GWAS on PD performed in a Korean population.
Results
From previous GWASs and meta-analyses, we selected single nucleotide polymorphisms as the instrumental variables. Variants associated with serum levels of low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and triglycerides, as well as with T2DM and BMI, were selected (n = 11, 19, 17, 89, and 9, respectively). There were no statistically significant causal associations observed between the five exposures and PD using either the IVW, weighted median, or MR-Egger methods (p-values of the IVW method: 0.332, 0.610, 0.634, 0.275, and 0.860, respectively).
Conclusion
This study does not support a clinically relevant causal effect of lipid levels, T2DM, and BMI on PD risk in a Korean population.

Citations

Citations to this article as recorded by  
  • Genetic evidence for the liver-brain axis: lipid metabolism and neurodegenerative disease risk
    Zeyu Wang, Zixiao Yin, Guangyong Sun, Dong Zhang, Jianguo Zhang
    Lipids in Health and Disease.2025;[Epub]     CrossRef
  • Exploring the Causal Link Between Systemic Lupus Erythematosus and Stroke Risk Through Mendelian Randomization Study
    Lingwen Zhang, Yaxin Li, Wenhui Fan, Hua Xue
    Annals of Human Genetics.2025; 89(6): 407.     CrossRef
  • Body mass index, metabolically abnormal status, and incident Parkinson's disease: Data from the UK Biobank
    Hae-Ryong Yun, Nak-Hoon Son, Hee Byung Koh, Seok Jong Chung
    Journal of Parkinson’s Disease.2025; 15(7): 1275.     CrossRef
  • Metabolic Parkinson’s disease
    Federica Invernizzi, Lorenzo Ciocca, Elena Contaldi, Donato Inverso, Daniela Calandrella, Francesco Mignone, Michela Barichella, Ioannis Ugo Isaias, Gianni Pezzoli
    Frontiers in Aging Neuroscience.2025;[Epub]     CrossRef
  • Metabolic syndrome worsens sarcopenia and reduces nutritional therapy benefits in advanced gastric cancer
    Lu Xu, Xinjie Zhang, Yuxin Feng, Vincent Kam Wai Wong, Wang Yao, Ying Feng
    Frontiers in Nutrition.2025;[Epub]     CrossRef
  • Fat-brain axis indicated by mutual impacts between body fat and brain phenotypes
    Ancha Baranova, Li Fu, Qian Zhao, Dongming Liu, Hongbao Cao, Vikas Chandhoke, Fuquan Zhang
    Journal of Translational Medicine.2025;[Epub]     CrossRef
  • Causal effect of systemic lupus erythematosus on psychiatric disorders: A two-sample Mendelian randomization study
    Hua Xue, Shuangjuan Liu, Li Zeng, Wenhui Fan
    Journal of Affective Disorders.2024; 347: 422.     CrossRef
  • Causal relationship between diabetes mellitus, glycemic traits and Parkinson’s disease: a multivariable mendelian randomization analysis
    Qitong Wang, Benchi Cai, Lifan Zhong, Jitrawadee Intirach, Tao Chen
    Diabetology & Metabolic Syndrome.2024;[Epub]     CrossRef
  • Association of Body Mass Index and Parkinson Disease
    Cloé Domenighetti, Pierre-Emmanuel Sugier, Ashwin Ashok Kumar Sreelatha, Claudia Schulte, Sandeep Grover, Berta Portugal, Pei-Chen Lee, Patrick May, Dheeraj Bobbili, Milena Radivojkov Blagojevic, Peter Lichtner, Andrew B. Singleton, Dena Hernandez, Connor
    Neurology.2024;[Epub]     CrossRef
  • Causal association between common rheumatic diseases and arrhythmia: a Mendelian randomization study
    Yuchen Zhang, Ling Tang, Ke Zhang, Xinai Meng, Tian Liu, Yanjia Chen, Xingfu Huang
    Frontiers in Cardiovascular Medicine.2024;[Epub]     CrossRef
  • Unraveling the link: exploring the causal relationship between diabetes, multiple sclerosis, migraine, and Alzheimer’s disease through Mendelian randomization
    Hua Xue, Li Zeng, Shuangjuan Liu
    Frontiers in Neuroscience.2023;[Epub]     CrossRef
  • Glycated hemoglobin A1c, cerebral small vessel disease burden, and disease severity in Parkinson's disease
    Xinxin Ma, Shuhua Li, Fengzhi Liu, Yu Du, Haibo Chen, Wen Su
    Annals of Clinical and Translational Neurology.2023; 10(12): 2276.     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
  • 5,218 View
  • 178 Download
  • 2 Web of Science
  • 3 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  
  • 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
Letters to the editor
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Pseudodystonia and Neuropathic Tremor in a Patient With Monomelic Amyotrophy
Seung Hyun Lee, Yun Su Hwang, Sungyang Jo, Sun Ju Chung
J Mov Disord. 2022;15(2):181-183.   Published online March 22, 2022
DOI: https://doi.org/10.14802/jmd.21138
  • 5,515 View
  • 164 Download
PDFSupplementary Material
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Syringomyelia Manifesting With Pseudodystonia: A Case Report
Yun Su Hwang, Seung Hyun Lee, Sungyang Jo, Sun Ju Chung
J Mov Disord. 2022;15(2):175-177.   Published online November 3, 2021
DOI: https://doi.org/10.14802/jmd.21121
  • 6,782 View
  • 289 Download
  • 1 Web of Science
  • 1 Crossref
PDFSupplementary Material

Citations

Citations to this article as recorded by  
  • Longitudinal Syringomyelia, Cervical Dystonia, and Action Tremor in Trichorhinophalangeal Syndrome Type I – A Case Report
    Bogdana Petko, Brent D. Weinberg, Jaime Vengoechea, Matthew Gary, Paul A. Beach
    Tremor and Other Hyperkinetic Movements.2025;[Epub]     CrossRef
Article image
An Autopsy-Proven Case of Lewy Body Disease Presenting with Severe Dysphagia
Sungyang Jo, Soo Jeong Nam, Kye Won Park, Jae-Hong Lee, Chong Sik Lee
J Mov Disord. 2021;14(3):242-244.   Published online March 15, 2021
DOI: https://doi.org/10.14802/jmd.20039
  • 8,534 View
  • 104 Download
  • 2 Web of Science
  • 2 Crossref
PDFSupplementary Material

Citations

Citations to this article as recorded by  
  • Shared Neuroinflammatory Mechanisms Across Dementia Types: An Integrative Review
    Subramanian Thangaleela, Asif Ali, Yohanes Tandoro, Chin-Kun Wang
    International Journal of Molecular Sciences.2025; 27(1): 179.     CrossRef
  • Porphyrin-Based Conjugated Microporous Polymers for Highly Efficient Adsorption of Metal Ions
    Qi-Meige Hasi, Zhi-Chao Han, Yu-Ping Guo, Jia-Le Yu, Chao-Hu Xiao, Yu-Han Zhang, Li-Hua Chen
    Langmuir.2022; 38(31): 9507.     CrossRef
Original Article
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Therapeutic Effect of Levodopa/Carbidopa/Entacapone on Sleep Disturbance in Patients with Parkinson’s Disease
Kye Won Park, Sungyang Jo, Seung Hyun Lee, Yun Su Hwang, Dagyo Lee, Ho-Sung Ryu, Sun Ju Chung
J Mov Disord. 2020;13(3):205-212.   Published online September 9, 2020
DOI: https://doi.org/10.14802/jmd.20055
  • 12,161 View
  • 324 Download
  • 17 Web of Science
  • 21 Crossref
AbstractAbstract PDF
Objective
To investigate the efficacy of levodopa/carbidopa/entacapone (LCE) at bedtime for treating sleep disturbance in patients with Parkinson’s disease (PD) with motor fluctuations.
Methods
Participants included 128 PD patients with motor fluctuations. All patients were assessed for motor, nonmotor, and sleep-specific symptoms using the United Parkinson’s Disease Rating Scale (UPDRS), the Korean version of the Nonmotor Symptom Scale, the Parkinson’s Disease Sleep Scale (PDSS), the Epworth Sleepiness Scale, and the Rapid Eye Movement Sleep Behavior Disorder Screening Questionnaire (RBDSQ). We compared the baseline characteristics of patients with sleep disturbance (PDSS score < 120) and those without sleep disturbance (PDSS score ≥ 120). Thirty-nine patients with sleep disturbance who agreed to take LCE at bedtime completed 3-month follow-ups. We analyzed changes in the scores of motor, nonmotor, and sleep symptom scales over the 3 months.
Results
PD patients with sleep disturbance were at more advanced disease stages and had more severe motor, nonmotor, and sleep symptoms than those without sleep disturbance. Patients who took LCE at night showed improvements in motor (UPDRS part III, p = 0.007) and sleep symptoms (total PDSS, p < 0.001). Sleep features that benefitted from LCE included not only nocturnal motor components but also insomnia (PDSS items 2 and 3, p = 0.005 and p < 0.001) and rapid eye movement behavior disorder (PDSS item 6, p = 0.002; and RBDSQ, p < 0.001).
Conclusion
The use of LCE at bedtime may be a useful treatment for sleep disturbance in advanced PD patients with motor fluctuations.

Citations

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