Journal of Movement Disorders

Mi-Jung Kim

5 Articles

Evaluating the Validity and Reliability of the Korean Version of the Scales for Outcomes in Parkinson’s Disease–Cognition: Jinse Park, Eungseok Oh, Seong-Beom Koh, In-Uk Song, Tae-Beom Ahn, Sang Jin Kim, Sang-Myung Cheon, Yoon-Joong Kim, Jin Whan Cho, Hyeo-Il Ma, Mee Young Park, Jong Sam Baik, Phil Hyu Lee, Sun Ju Chung, Jong-Min Kim, Han-Joon Kim, Young-Hee Sung, Do Young Kwon, Jae-Hyeok Lee, Jee-Young Lee, Ji Seon Kim, Ji Young Yun, Hee Jin Kim, Jin Yong Hong, Mi-Jung Kim, Jinyoung Youn, Hui-Jun Yang, Won Tae Yoon, Sooyeoun You, Kyum-Yil Kwon, Su-Yun Lee, Younsoo Kim, Hee-Tae Kim, Joong-Seok Kim, Ji-Young Kim; J Mov Disord. 2024;17(3):328-332. Published online April 3, 2024; DOI: https://doi.org/10.14802/jmd.24061

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Abstract PDF Supplementary Material: Objective
The Scales for Outcomes in Parkinson’s Disease–Cognition (SCOPA-Cog) was developed to assess cognition in patients with Parkinson’s disease (PD). In this study, we aimed to evaluate the validity and reliability of the Korean version of the SCOPACog (K-SCOPA-Cog).
Methods
We enrolled 129 PD patients with movement disorders from 31 clinics in South Korea. The original version of the SCOPA-Cog was translated into Korean using the translation-retranslation method. The test–retest method with an intraclass correlation coefficient (ICC) and Cronbach’s alpha coefficient were used to assess reliability. Spearman’s rank correlation analysis with the Montreal Cognitive Assessment-Korean version (MOCA-K) and the Korean Mini-Mental State Examination (K-MMSE) were used to assess concurrent validity.
Results
The Cronbach’s alpha coefficient was 0.797, and the ICC was 0.887. Spearman’s rank correlation analysis revealed a significant correlation with the K-MMSE and MOCA-K scores (r = 0.546 and r = 0.683, respectively).
Conclusion
Our results demonstrate that the K-SCOPA-Cog has good reliability and validity.

Quantitative Gait Analysis in Patients with Huntington’s Disease: Seon Jong Pyo, Hanjun Kim, Il Soo Kim, Young-Min Park, Mi-Jung Kim, Hye Mi Lee, Seong-Beom Koh; J Mov Disord. 2017;10(3):140-144. Published online August 31, 2017; DOI: https://doi.org/10.14802/jmd.17041

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Objective
Gait disturbance is the main factor contributing to a negative impact on quality of life in patients with Huntington’s disease (HD). Understanding gait features in patients with HD is essential for planning a successful gait strategy. The aim of this study was to investigate temporospatial gait parameters in patients with HD compared with healthy controls.
Methods
We investigated 7 patients with HD. Diagnosis was confirmed by genetic analysis, and patients were evaluated with the Unified Huntington’s Disease Rating Scale (UHDRS). Gait features were assessed with a gait analyzer. We compared the results of patients with HD to those of 7 age- and sex-matched normal controls.
Results
Step length and stride length were decreased and base of support was increased in the HD group compared to the control group. In addition, coefficients of variability for step and stride length were increased in the HD group. The HD group showed slower walking velocity, an increased stance/swing phase in the gait cycle and a decreased proportion of single support time compared to the control group. Cadence did not differ significantly between groups. Among the UHDRS subscores, total motor score and total behavior score were positively correlated with step length, and total behavior score was positively correlated with walking velocity in patients with HD.
Conclusion
Increased variability in step and stride length, slower walking velocity, increased stance phase, and decreased swing phase and single support time with preserved cadence suggest that HD gait patterns are slow, ataxic and ineffective. This study suggests that quantitative gait analysis is needed to assess gait problems in HD.

Citations

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Sensor-Based Locomotion Data Mining for Supporting the Diagnosis of Neurodegenerative Disorders: A Survey
Samaneh Zolfaghari, Sumaiya Suravee, Daniele Riboni, Kristina Yordanova
ACM Computing Surveys.2024; 56(1): 1. CrossRef
The semicircular canal function is preserved with little impact on falls in patients with mild Parkinson's disease
Jun-Pyo Hong, Hanim Kwon, Euyhyun Park, Sun-Uk Lee, Chan-Nyoung Lee, Byung-Jo Kim, Ji-Soo Kim, Kun-Woo Park
Parkinsonism & Related Disorders.2024; 118: 105933. CrossRef
Gene-dosage- and sex-dependent differences in the prodromal-Like phase of the F344tgHD rat model for Huntington disease
Veronika Ratz-Wirsching, Johanna Habermeyer, Sandra Moceri, Julia Harrer, Christoph Schmitz, Stephan von Hörsten
Frontiers in Neuroscience.2024;[Epub] CrossRef
Vision-based motion capture for the gait analysis of neurodegenerative diseases: A review
David Sing Yee Vun, Robert Bowers, Anthony McGarry
Gait & Posture.2024; 112: 95. CrossRef
Estimation of Gait Parameters in Huntington’s Disease Using Wearable Sensors in the Clinic and Free-living Conditions
Manuel Lozano-García, Emer P. Doheny, Elliot Mann, Philippa Morgan-Jones, Cheney Drew, Monica Busse-Morris, Madeleine M. Lowery
IEEE Transactions on Neural Systems and Rehabilitation Engineering.2024; 32: 2239. CrossRef
Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review
Huan Zhao, Junyi Cao, Junxiao Xie, Wei-Hsin Liao, Yaguo Lei, Hongmei Cao, Qiumin Qu, Chris Bowen
DIGITAL HEALTH.2023; 9: 205520762311735. CrossRef
Spatiotemporal Gait Parameters in Adults With Premanifest and Manifest Huntington’s Disease: A Systematic Review
Sasha Browning, Stephanie Holland, Ian Wellwood, Belinda Bilney
Journal of Movement Disorders.2023; 16(3): 307. CrossRef
Walking pattern analysis using GAIT cycles and silhouettes for clinical applications
S.M.H. Sithi Shameem Fathima, K.A. Jyotsna, Thiruveedula Srinivasulu, Kande Archana, M. Tulasi rama, S. Ravichand
Measurement: Sensors.2023; 30: 100893. CrossRef
Human Gait Analysis in Neurodegenerative Diseases: A Review
Grazia Cicirelli, Donato Impedovo, Vincenzo Dentamaro, Roberto Marani, Giuseppe Pirlo, Tiziana R. D'Orazio
IEEE Journal of Biomedical and Health Informatics.2022; 26(1): 229. CrossRef
Development of Neuro-Degenerative Diseases’ Gait Classification Algorithm Using Convolutional Neural Network and Wavelet Coherence Spectrogram of Gait Synchronization
Febryan Setiawan, An-Bang Liu, Che-Wei Lin
IEEE Access.2022; 10: 38137. CrossRef
Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques
Alexandra-Maria Tăuţan, Bogdan Ionescu, Emiliano Santarnecchi
Artificial Intelligence in Medicine.2021; 117: 102081. CrossRef
Identification of Neurodegenerative Diseases Based on Vertical Ground Reaction Force Classification Using Time–Frequency Spectrogram and Deep Learning Neural Network Features
Febryan Setiawan, Che-Wei Lin
Brain Sciences.2021; 11(7): 902. CrossRef
The effects of dual-task cognitive interference on gait and turning in Huntington’s disease
Nicollette L. Purcell, Jennifer G. Goldman, Bichun Ouyang, Yuanqing Liu, Bryan Bernard, Joan A. O’Keefe, Pedro Gonzalez-Alegre
PLOS ONE.2020; 15(1): e0226827. CrossRef
Gait variability as digital biomarker of disease severity in Huntington’s disease
Heiko Gaßner, Dennis Jensen, F. Marxreiter, Anja Kletsch, Stefan Bohlen, Robin Schubert, Lisa M. Muratori, Bjoern Eskofier, Jochen Klucken, Jürgen Winkler, Ralf Reilmann, Zacharias Kohl
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Evaluation of Vertical Ground Reaction Forces Pattern Visualization in Neurodegenerative Diseases Identification Using Deep Learning and Recurrence Plot Image Feature Extraction
Che-Wei Lin, Tzu-Chien Wen, Febryan Setiawan
Sensors.2020; 20(14): 3857. CrossRef
Cerebral dopamine neurotrophic factor (CDNF) protects against quinolinic acid-induced toxicity in in vitro and in vivo models of Huntington’s disease
P. Stepanova, V. Srinivasan, D. Lindholm, M. H. Voutilainen
Scientific Reports.2020;[Epub] CrossRef
Rapid and robust patterns of spontaneous locomotor deficits in mouse models of Huntington’s disease
Taneli Heikkinen, Timo Bragge, Niina Bhattarai, Teija Parkkari, Jukka Puoliväli, Outi Kontkanen, Patrick Sweeney, Larry C. Park, Ignacio Munoz-Sanjuan, Yuqing Li
PLOS ONE.2020; 15(12): e0243052. CrossRef
Rule based classification of neurodegenerative diseases using data driven gait features
Kartikay Gupta, Aayushi Khajuria, Niladri Chatterjee, Pradeep Joshi, Deepak Joshi
Health and Technology.2019; 9(4): 547. CrossRef
Discovery of Arginine Ethyl Ester as Polyglutamine Aggregation Inhibitor: Conformational Transitioning of Huntingtin N-Terminus Augments Aggregation Suppression
Virender Singh, Kinjal A. Patel, Raj Kumar Sharma, Pratik R. Patil, Abhayraj S. Joshi, Rashmi Parihar, Thamarailingam Athilingam, Neeraj Sinha, Subramaniam Ganesh, Pradip Sinha, Ipsita Roy, Ashwani Kumar Thakur
ACS Chemical Neuroscience.2019; 10(9): 3969. CrossRef
Gait Biomarkers Classification by Combining Assembled Algorithms and Deep Learning: Results of a Local Study
Eddy Sánchez-DelaCruz, Roberto Weber, R. R. Biswal, Jose Mejía, Gandhi Hernández-Chan, Heberto Gómez-Pozos
Computational and Mathematical Methods in Medicine.2019; 2019: 1. CrossRef

Comparison of Pallidal and Subthalamic Deep Brain Stimulation in Parkinson’s Disease: Therapeutic and Adverse Effects: Ho-Sung Ryu, Mi-Sun Kim, Sooyeoun You, Mi-Jung Kim, Young Jin Kim, Juyeon Kim, Kiju Kim, Sun Ju Chung; J Mov Disord. 2017;10(2):80-86. Published online May 8, 2017; DOI: https://doi.org/10.14802/jmd.17001

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Abstract PDF Supplementary Material

Objective
To compare the therapeutic and adverse effects of globus pallidus interna (GPi) and subthalamic nucleus (STN) deep brain stimulation (DBS) for the treatment of advanced Parkinson’s disease (PD).
Methods
We retrospectively analyzed the clinical data of patients with PD who underwent GPi (n = 14) or STN (n = 28) DBS surgery between April 2002 and May 2014. The subjects were matched for age at surgery and disease duration. The Unified Parkinson’s Disease Rating Scale (UPDRS) scores and levodopa equivalent dose (LED) at baseline and 12 months after surgery were used to assess the therapeutic effects of DBS. Adverse effects were also compared between the two groups.
Results
At 12 months, the mean changes in the UPDRS total and part I–IV scores did not differ significantly between the two groups. However, the subscores for gait disturbance/postural instability and dyskinesia were significantly more improved after GPi DBS than those after STN DBS (p = 0.024 and 0.016, respectively). The LED was significantly more reduced in patients after STN DBS than that after GPi DBS (p = 0.004). Serious adverse effects did not differ between the two groups (p = 0.697).
Conclusion
The patients with PD showed greater improvement in gait disturbance/postural instability and dyskinesia after GPi DBS compared with those after STN DBS, although the patients had a greater reduction in LED after STN DBS. These results may provide useful information for optimal target selection for DBS in PD.

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Long-term motor outcomes of deep brain stimulation of the globus pallidus interna in Parkinson's disease patients: Five-year follow-up
Yun Su Hwang, Sungyang Jo, Seung Hyun Lee, Nayoung Kim, Mi-Sun Kim, Sang Ryong Jeon, Sun Ju Chung
Journal of the Neurological Sciences.2023; 444: 120484. CrossRef
The Role of Microelectrode Recording in Deep Brain Stimulation Surgery for Parkinson’s Disease: A Systematic Review and Meta-Analysis
R. Saman Vinke, Martin Geerlings, Ashok K. Selvaraj, Dejan Georgiev, Bastiaan R. Bloem, Rianne A.J. Esselink, Ronald H.M.A. Bartels
Journal of Parkinson's Disease.2022; 12(7): 2059. CrossRef
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Autumn J. Bullard, Brianna C. Hutchison, Jiseon Lee, Cynthia A. Chestek, Parag G. Patil
Neuromodulation: Technology at the Neural Interface.2020; 23(4): 411. CrossRef
Long-term Effects of Bilateral Subthalamic Deep Brain Stimulation on Postural Instability and Gait Difficulty in Patients with Parkinson’s Disease
Hae-Won Shin, Mi Sun Kim, Sung Reul Kim, Sang Ryong Jeon, Sun Ju Chung
Journal of Movement Disorders.2020; 13(2): 127. CrossRef
Treatment strategies in advanced Parkinson's disease: Review of the literature
Yıldız Değirmenci
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Validation of the Korean Version of the Scale for Outcomes in Parkinson’s Disease-Autonomic: Ji-Young Kim, In-Uk Song, Seong-Beom Koh, Tae-Beom Ahn, Sang Jin Kim, Sang-Myung Cheon, Jin Whan Cho, Yun Joong Kim, Hyeo-Il Ma, Mee-Young Park, Jong Sam Baik, Phil Hyu Lee, Sun Ju Chung, Jong-Min Kim, Han-Joon Kim, Young-Hee Sung, Do Young Kwon, Jae-Hyeok Lee, Jee-Young Lee, Ji Sun Kim, Ji Young Yun, Hee Jin Kim, Jin Young Hong, Mi-Jung Kim, Jinyoung Youn, Ji Seon Kim, Eung Seok Oh, Hui-Jun Yang, Won Tae Yoon, Sooyeoun You, Kyum-Yil Kwon, Hyung-Eun Park, Su-Yun Lee, Younsoo Kim, Hee-Tae Kim, Joong-Seok Kim; J Mov Disord. 2017;10(1):29-34. Published online January 18, 2017; DOI: https://doi.org/10.14802/jmd.16057

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Abstract PDF Supplementary Material

Objective
Autonomic symptoms are commonly observed in patients with Parkinson’s disease (PD) and often limit the activities of daily living. The Scale for Outcomes in Parkinson’s disease-Autonomic (SCOPA-AUT) was developed to evaluate and quantify autonomic symptoms in PD. The goal of this study was to translate the original SCOPA-AUT, which was written in English, into Korean and to evaluate its reliability and validity for Korean PD patients.
Methods
For the translation, the following processes were performed: forward translation, backward translation, expert review, pretest of the pre-final version and development of the final Korean version of SCOPA-AUT (K-SCOPA-AUT). In total, 127 patients with PD from 31 movement disorder clinics of university-affiliated hospitals in Korea were enrolled in this study. All patients were assessed using the K-SCOPA-AUT and other motor, non-motor, and quality of life scores. Test-retest reliability for the K-SCOPA-AUT was assessed over a time interval of 10−14 days.
Results
The internal consistency and reliability of the K-SCOPA-AUT was 0.727 as measured by the mean Cronbach’s α-coefficient. The test-retest correlation reliability was 0.859 by the Guttman split-half coefficient. The total K-SCOPA-AUT score showed a positive correlation with other non-motor symptoms [the Korean version of non-motor symptom scale (K-NMSS)], activities of daily living (Unified Parkinson’s Disease Rating Scale part II) and quality of life [the Korean version of Parkinson’s Disease Quality of Life 39 (K-PDQ39)].
Conclusion
The K-SCOPA-AUT had good reliability and validity for the assessment of autonomic dysfunction in Korean PD patients. Autonomic symptom severities were associated with many other motor and non-motor impairments and influenced quality of life.

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A Case of Multiple System Atrophy-Cerebellar Type Preceded by Dementia: Eun Hye Jang, Joo Kyung Lee, Hyun Jung Jang, Mi-Jung Kim, Sun Ju Chung; J Mov Disord. 2012;5(2):48-52.; DOI: https://doi.org/10.14802/jmd.12011

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Abstract PDF

Multiple system atrophy (MSA) is a sporadic, adult-onset disease characterized by progressive degeneration of nervous systems including cerebellar, pyramidal, extrapyramidal, and autonomic system. Although a few recent studies reported that cognitive impairments could occur in patients with MSA, prominent dementia with progressive decline is not a typical clinical manifestation of MSA. In particular, dementia with MSA-cerebellar type is very rare. We have experienced a patient with 2-year history of severe cognitive impairment, who was finally diagnosed as MSA-cerebellar type.

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