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Brief communication
Evaluating the validity and reliability of the Korean version of Scales for Outcomes in Parkinson’s Disease–Cognition
Jinse Park, Eung Seok Oh, Seong-Beom Koh, In-Uk Song, Tae-Beom Ahn, Sang Jin Kim, Sang-Myung Cheon, Yun 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 Sun Kim, Ji Young Yun, Hee Jin Kim, Jin Young Hong, Mi-Jung Kim, Jinyoung Youn, Ji Seon Kim, 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
Received March 8, 2024  Accepted April 2, 2024  Published online April 3, 2024  
DOI: https://doi.org/10.14802/jmd.24061    [Accepted]
  • 313 View
  • 12 Download
AbstractAbstract PDF
Objective
The Scales for Outcomes in Parkinson’s Disease–Cognition (SCOPA-Cog) was developed to screen for cognition in PD. In this study, we aimed to evaluate the validity and reliability of the Korean version of the SCOPA-cog.
Methods
We recruited 129 PD patients from 31 clinics with movement disorders in South Korea. The original version of the SCOPA-cognition was translated into Korean using the translation-retranslation method. The test-rest method with an intraclass correlation coefficient (ICC) and Cronbach’s alpha coefficient were used to assess reliability. The Spearman’s Rank correlation analysis with Montreal Cognitive Assessment-Korean version (MOCA-K) and 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 showed a significant correlation with the K-MMSE and MOCA-K scores (r = 0.546 and r = 0.683, respectively).
Conclusions
Our results demonstrate that K-SCOPA-Cog exhibits good reliability and validity.
Original Articles
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
  • 7,213 View
  • 141 Download
  • 17 Web of Science
  • 18 Crossref
AbstractAbstract PDF
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

Citations to this article as recorded by  
  • 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
  • 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
    Journal of Neurology.2020; 267(6): 1594.     CrossRef
  • 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
  • 8,264 View
  • 253 Download
  • 6 Web of Science
  • 7 Crossref
AbstractAbstract PDFSupplementary 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.

Citations

Citations to this article as recorded by  
  • 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
  • Motor Thalamic Deep Brain Stimulation Alters Cortical Activity and Shows Therapeutic Utility for Treatment of Parkinson’s Disease Symptoms in a Rat Model
    Heidi R. Tucker, Emily Mahoney, Kainat Akhtar, Tzu-Jen Kao, Gianna Mamone, Saisree Mikkilineni, Maya Ravi, Hanel Watkins, Danielle-Lee Terrelonge, Caryn Martin, Kristen Unger, Gabrielle Kim, Kyra Fiber, Megan Gupta, Jonathan Indajang, Eliyahu M. Kochman,
    Neuroscience.2021; 460: 88.     CrossRef
  • Current Knowledge on the Background, Pathophysiology and Treatment of Levodopa-Induced Dyskinesia—Literature Review
    Michał Hutny, Jagoda Hofman, Aleksandra Klimkowicz-Mrowiec, Agnieszka Gorzkowska
    Journal of Clinical Medicine.2021; 10(19): 4377.     CrossRef
  • Estimating Risk for Future Intracranial, Fully Implanted, Modular Neuroprosthetic Systems: A Systematic Review of Hardware Complications in Clinical Deep Brain Stimulation and Experimental Human Intracortical Arrays
    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
    Cumhuriyet Medical Journal.2017; 39(3): 509.     CrossRef
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
  • 15,132 View
  • 360 Download
  • 29 Web of Science
  • 30 Crossref
AbstractAbstract PDFSupplementary 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.

Citations

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  • Baseline prevalence and longitudinal assessment of autonomic dysfunction in early Parkinson’s disease
    Lanqing Yang, Huan Gao, Min Ye
    Journal of Neural Transmission.2024; 131(2): 127.     CrossRef
  • Association Between Gait and Dysautonomia in Patients With De Novo Parkinson’s Disease: Forward Gait Versus Backward Gait
    Seon-Min Lee, Mina Lee, Eun Ji Lee, Rae On Kim, Yongduk Kim, Kyum-Yil Kwon
    Journal of Movement Disorders.2023; 16(1): 59.     CrossRef
  • Beyond shallow feelings of complex affect: Non-motor correlates of subjective emotional experience in Parkinson’s disease
    Claudia Carricarte Naranjo, Claudia Sánchez Luaces, Ivonne Pedroso Ibáñez, Andrés Machado, Hichem Sahli, María Antonieta Bobes, Vincenzo De Luca
    PLOS ONE.2023; 18(2): e0281959.     CrossRef
  • Autonomic function and motor subtypes in Parkinson’s disease: a multicentre cross-sectional study
    Si-Chun Gu, Rong Shi, Chen Gao, Xiao-Lei Yuan, You Wu, Zhen-Guo Liu, Chang-De Wang, Shao-Rong Zhao, Xiqun Chen, Can-Xing Yuan, Qing Ye
    Scientific Reports.2023;[Epub]     CrossRef
  • Clinical manifestation of patients with isolated rapid eye movement sleep behavior disorder after modest-to-long disease duration
    Jung Kyung Hong, Jong-Min Kim, Ki-woong Kim, Ji Won Han, Soyeon Ahn, In-Young Yoon
    Sleep.2022;[Epub]     CrossRef
  • Associations of cognitive dysfunction with motor and non-motor symptoms in patients with de novo Parkinson’s disease
    Kyum-Yil Kwon, Suyeon Park, Rae On Kim, Eun Ji Lee, Mina Lee
    Scientific Reports.2022;[Epub]     CrossRef
  • Autonomic dysfunction in Parkinson's disease: Results from the Faroese Parkinson's disease cohort
    Aksel Berg, Sára Bech, Jan Aasly, Matthew J. Farrer, Maria Skaalum Petersen
    Neuroscience Letters.2022; 785: 136789.     CrossRef
  • Prevalence of lower urinary tract symptoms, urinary incontinence and retention in Parkinson's disease: A systematic review and meta-analysis
    Fang-Fei Li, Yu-Sha Cui, Rui Yan, Shuang-Shuang Cao, Tao Feng
    Frontiers in Aging Neuroscience.2022;[Epub]     CrossRef
  • White matter tract-specific microstructural disruption is associated with depressive symptoms in isolated RBD
    Jung-Ick Byun, Seunghwan Oh, Jun-Sang Sunwoo, Jung-Won Shin, Tae-Joon Kim, Jin-Sun Jun, Han-Joon Kim, Won Chul Shin, Joon-Kyung Seong, Ki-Young Jung
    NeuroImage: Clinical.2022; 36: 103186.     CrossRef
  • Comparison of disease progression between brain-predominant Parkinson's disease versus Parkinson's disease with body-involvement phenotypes
    Dong-Woo Ryu, Sang-Won Yoo, Yoon-Sang Oh, Kwang-Soo Lee, Seunggyun Ha, Joong-Seok Kim
    Neurobiology of Disease.2022; 174: 105883.     CrossRef
  • Corneal confocal microscopy differentiates patients with Parkinson’s disease with and without autonomic involvement
    Ning-Ning Che, Shuai Chen, Qiu-Huan Jiang, Si-Yuan Chen, Zhen-Xiang Zhao, Xue Li, Rayaz A. Malik, Jian-Jun Ma, Hong-Qi Yang
    npj Parkinson's Disease.2022;[Epub]     CrossRef
  • Association of Nucleus Basalis of Meynert Functional Connectivity and Cognition in Idiopathic Rapid-Eye-Movement Sleep Behavior Disorder
    Jung-Ick Byun, Kwang Su Cha, Minah Kim, Woo-Jin Lee, Han Sang Lee, Jun-Sang Sunwoo, Jung-Won Shin, Tae-Joon Kim, Jin-Sun Jun, Han-Joon Kim, Won Chul Shin, Carlos H. Schenck, Sang Kun Lee, Ki-Young Jung
    Journal of Clinical Neurology.2022; 18(5): 562.     CrossRef
  • White Matter Tract-Specific Microstructural Disruption is Associated with Depressive Symptoms in Isolated Rbd
    Jung-Ick Byun, Seunghwan Oh, Jun-Sang Sunwoo, Jung-Won Shin, Tae-Joon Kim, Jin-Sun Jun, Han-Joon Kim, Won Chul Shin, Joon-Kyung Seong, Ki-Young Jung
    SSRN Electronic Journal .2022;[Epub]     CrossRef
  • Altered insular functional connectivity in isolated REM sleep behavior disorder: a data-driven functional MRI study
    Jung-Ick Byun, Kwang Su Cha, Minah Kim, Woo-Jin Lee, Han Sang Lee, Jun-Sang Sunwoo, Jung-Won Shin, Tae-Joon Kim, Jangsup Moon, Soon-Tae Lee, Keun-Hwa Jung, Kon Chu, Man-Ho Kim, Han-Joon Kim, Won Chul Shin, Sang Kun Lee, Ki-Young Jung
    Sleep Medicine.2021; 79: 88.     CrossRef
  • Association of fall risk factors and non-motor symptoms in patients with early Parkinson’s disease
    Kyum-Yil Kwon, Suyeon Park, Eun Ji Lee, Mina Lee, Hyunjin Ju
    Scientific Reports.2021;[Epub]     CrossRef
  • Impact of motor subtype on non‐motor symptoms and fall‐related features in patients with early Parkinson's disease
    Kyum‐Yil Kwon, Eun Ji Lee, Mina Lee, Hyunjin Ju, Kayeong Im
    Geriatrics & Gerontology International.2021; 21(5): 416.     CrossRef
  • Extra-basal ganglia iron content and non-motor symptoms in drug-naïve, early Parkinson’s disease
    Minkyeong Kim, Seulki Yoo, Doyeon Kim, Jin Whan Cho, Ji Sun Kim, Jong Hyun Ahn, Jun Kyu Mun, Inyoung Choi, Seung-Kyun Lee, Jinyoung Youn
    Neurological Sciences.2021; 42(12): 5297.     CrossRef
  • Clinical Assessment Scales in Autonomic Nervous System Disorders
    Eun Bin Cho, Ki-Jong Park
    Journal of the Korean Neurological Association.2021; 39(2 Suppl): 60.     CrossRef
  • Cardiac sympathetic burden reflects Parkinson disease burden, regardless of high or low orthostatic blood pressure changes
    Sang-Won Yoo, Joong-Seok Kim, Yoon-Sang Oh, Dong-Woo Ryu, Seunggyun Ha, Ji-Yeon Yoo, Kwang-Soo Lee
    npj Parkinson's Disease.2021;[Epub]     CrossRef
  • Understanding fatigue in progressive supranuclear palsy
    Jong Hyeon Ahn, Joomee Song, Dong Yeong Lee, Jinyoung Youn, Jin Whan Cho
    Scientific Reports.2021;[Epub]     CrossRef
  • Validation of the Korean version of the composite autonomic symptom scale 31 in patients with Parkinson’s disease
    Jong Hyeon Ahn, Jin Myoung Seok, Jongkyu Park, Heejeong Jeong, Younsoo Kim, Joomee Song, Inyoung Choi, Jin Whan Cho, Ju-Hong Min, Byoung Joon Kim, Jinyoung Youn, Antonina Luca
    PLOS ONE.2021; 16(10): e0258897.     CrossRef
  • Cardiac Autonomic Dysfunction Is Associated with Severity of REM Sleep without Atonia in Isolated REM Sleep Behavior Disorder
    Sooyeoun You, Kyoung Sook Won, Keun Tae Kim, Hyang Woon Lee, Yong Won Cho
    Journal of Clinical Medicine.2021; 10(22): 5414.     CrossRef
  • Characteristics of Autonomic Dysfunction in Parkinson’s Disease: A Large Chinese Multicenter Cohort Study
    Zhou Zhou, Xiaoting Zhou, Xiaoxia Zhou, Yaqin Xiang, Liping Zhu, Lixia Qin, Yige Wang, Hongxu Pan, Yuwen Zhao, Qiying Sun, Qian Xu, Xinyin Wu, Xinxiang Yan, Jifeng Guo, Beisha Tang, Zhenhua Liu
    Frontiers in Aging Neuroscience.2021;[Epub]     CrossRef
  • Autonomic Dysfunction in Parkinson's Disease: Results from the Faroese Parkinson's Disease Cohort
    Aksel Kambsskarð Berg, Sára Bech, Jan O. Aasly, Matthew J. Farrer, Maria Skaalum Petersen
    SSRN Electronic Journal .2021;[Epub]     CrossRef
  • Subtypes of Sleep Disturbance in Parkinson's Disease Based on the Cross-Culturally Validated Korean Version of Parkinson's Disease Sleep Scale-2
    Hui-Jun Yang, Han-Joon Kim, Seong-Beom Koh, Joong-Seok Kim, Tae-Beom Ahn, Sang-Myung Cheon, Jin Whan Cho, Yoon-Joong Kim, Hyeo-Il Ma, Mee Young Park, Jong Sam Baik, Phil Hyu Lee, Sun Ju Chung, Jong-Min Kim, In-Uk Song, Ji-Young Kim, Young-Hee Sung, Do You
    Journal of Clinical Neurology.2020; 16(1): 66.     CrossRef
  • Risk Factors for Falls in Patients with de novo Parkinson’s Disease: A Focus on Motor and Non-Motor Symptoms
    Kyum-Yil Kwon, Mina Lee, Hyunjin Ju, Kayeong Im
    Journal of Movement Disorders.2020; 13(2): 142.     CrossRef
  • Peripheral Blood Inflammatory Cytokines in Idiopathic REM Sleep Behavior Disorder
    Ryul Kim, Jin‐Sun Jun, Han‐Joon Kim, Ki‐Young Jung, Yong‐Won Shin, Tae‐Won Yang, Keun Tae Kim, Tae‐Joon Kim, Jung‐Ick Byun, Jun‐Sang Sunwoo, Beomseok Jeon
    Movement Disorders.2019; 34(11): 1739.     CrossRef
  • Urinary Dysfunctions and Post-Void Residual Urine in Typical and Atypical Parkinson Diseases
    Yang-Hyun Lee, Jee-Eun Lee, Dong-Woo Ryu, Yoon-Sang Oh, Kwang-Soo Lee, Sung-Hoo Hong, Joong-Seok Kim
    Journal of Parkinson's Disease.2018; 8(1): 145.     CrossRef
  • Rasch Analysis of the Clinimetric Properties of the Korean Dizziness Handicap Inventory in Patients with Parkinson Disease
    Da-Young Lee, Hui-Jun Yang, Dong-Seok Yang, Jin-Hyuk Choi, Byoung-Soo Park, Ji-Yun Park
    Research in Vestibular Science.2018; 17(4): 152.     CrossRef
  • Clinical Characteristics of Parkinson’s Disease Developed from Essential Tremor
    Dong-Woo Ryu, Si-Hoon Lee, Yoon-Sang Oh, Jae-Young An, Jeong-Wook Park, In-Uk Song, Kwang-Soo Lee, Joong-Seok Kim
    Journal of Parkinson's Disease.2017; 7(2): 369.     CrossRef
Case Report
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
  • 16,559 View
  • 92 Download
  • 3 Crossref
AbstractAbstract 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.

Citations

Citations to this article as recorded by  
  • Mitochondrial dysfunction and altered ribostasis in hippocampal neurons with cytoplasmic inclusions of multiple system atrophy
    Norihisa Maeda, Hiroyuki Honda, Satoshi O. Suzuki, Naoki Fujii, Jun‐ichi Kira, Toru Iwaki
    Neuropathology.2018; 38(4): 361.     CrossRef
  • Mechanisms and prevention of sudden death in multiple system atrophy
    Takayoshi Shimohata, Naotaka Aizawa, Hideaki Nakayama, Hiroshige Taniguchi, Yasuyoshi Ohshima, Hitoshi Okumura, Tetsuya Takahashi, Akio Yokoseki, Makoto Inoue, Masatoyo Nishizawa
    Parkinsonism & Related Disorders.2016;[Epub]     CrossRef
  • Fragile X-associated tremor/ataxia syndrome: phenotypic comparisons with other movement disorders
    Erin E. Robertson, Deborah A. Hall, Andrew R. McAsey, Joan A. O’Keefe
    The Clinical Neuropsychologist.2016; 30(6): 849.     CrossRef

JMD : Journal of Movement Disorders