Journal of Movement Disorders

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A practical guide for clinical approach to patients with Huntington’s disease in Korea: Chaewon Shin, Ryul Kim, Dallah Yoo, Eungseok Oh, Jangsup Moon, Minkyeong Kim, Jee-Young Lee, Jong-Min Kim, Seong-Beom Koh, Manho Kim, Beomseok Jeon; Received February 19, 2024 Accepted March 12, 2024 Published online March 12, 2024; DOI: https://doi.org/10.14802/jmd.24040 [Accepted]

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Original Articles

Accuracy of Machine Learning Using the Montreal Cognitive Assessment for the Diagnosis of Cognitive Impairment in Parkinson’s Disease: Junbeom Jeon, Kiyong Kim, Kyeongmin Baek, Seok Jong Chung, Jeehee Yoon, Yun Joong Kim; J Mov Disord. 2022;15(2):132-139. Published online May 26, 2022; DOI: https://doi.org/10.14802/jmd.22012

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Abstract PDF Supplementary Material: Objective
The Montreal Cognitive Assessment (MoCA) is recommended for assessing general cognition in Parkinson’s disease (PD). Several cutoffs of MoCA scores for diagnosing PD with cognitive impairment (PD-CI) have been proposed, with varying sensitivity and specificity. This study investigated the utility of machine learning algorithms using MoCA cognitive domain scores for improving diagnostic performance for PD-CI.
Methods
In total, 2,069 MoCA results were obtained from 397 patients with PD enrolled in the Parkinson’s Progression Markers Initiative database with a diagnosis of cognitive status based on comprehensive neuropsychological assessments. Using the same number of MoCA results randomly sampled from patients with PD with normal cognition or PD-CI, discriminant validity was compared between machine learning (logistic regression, support vector machine, or random forest) with domain scores and a cutoff method.
Results
Based on cognitive status classification using a dataset that permitted sampling of MoCA results from the same individual (n = 221 per group), no difference was observed in accuracy between the cutoff value method (0.74 ± 0.03) and machine learning (0.78 ± 0.03). Using a more stringent dataset that excluded MoCA results (n = 101 per group) from the same patients, the accuracy of the cutoff method (0.66 ± 0.05), but not that of machine learning (0.74 ± 0.07), was significantly reduced. Inclusion of cognitive complaints as an additional variable improved the accuracy of classification using the machine learning method (0.87–0.89).
Conclusion
Machine learning analysis using MoCA domain scores is a valid method for screening cognitive impairment in PD.

Validation of the Conversion between the Mini-Mental State Examination and Montreal Cognitive assessment in Korean Patients with Parkinson’s Disease: Ryul Kim, Han-Joon Kim, Aryun Kim, Mi-Hee Jang, Hyun Jeong Kim, Beomseok Jeon; J Mov Disord. 2018;11(1):30-34. Published online January 11, 2018; DOI: https://doi.org/10.14802/jmd.17038

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Objective
Two conversion tables between the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) have recently been established for Parkinson’s disease (PD). This study aimed to validate them in Korean patients with PD and to evaluate whether they could be influenced by educational level.
Methods
A total of 391 patients with PD who undertook both the Korean MMSE and the Korean MoCA during the same session were retrospectively assessed. The mean, median, and root mean squared error (RMSE) of the difference between the true and converted MMSE scores and the intraclass correlation coefficient (ICC) were calculated according to educational level (6 or fewer years, 7–12 years, or 13 or more years).
Results
Both conversions had a median value of 0, with a small mean and RMSE of differences, and a high correlation between the true and converted MMSE scores. In the classification according to educational level, all groups had roughly similar values of the median, mean, RMSE, and ICC both within and between the conversions.
Conclusion
Our findings suggest that both MMSE-MoCA conversion tables are useful instruments for transforming MoCA scores into converted MMSE scores in Korean patients with PD, regardless of educational level. These will greatly enhance the utility of the existing cognitive data from the Korean PD population in clinical and research settings.

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Nature Mental Health.2024; 2(1): 63. CrossRef
Application of machine learning models on predicting the length of hospital stay in fragility fracture patients
Chun-Hei Lai, Prudence Kwan-Lam Mok, Wai-Wang Chau, Sheung-Wai Law
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Investigative Opthalmology & Visual Science.2023; 64(14): 26. CrossRef
Comparative study of two Chinese versions of Montreal Cognitive Assessment for Screening of Mild Cognitive Impairment
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Validation of Four Methods for Converting Scores on the Montreal Cognitive Assessment to Scores on the Mini-Mental State Examination-2
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Dementia and Neurocognitive Disorders.2021; 20(4): 41. CrossRef
Կոգնիտիվ վիճակի գնահատման Mini-Mental State Examination (MMSE) սանդղակի հայերեն տարբերակի ադապտացում և վալիդացում
Մ.Ա. Իսայան, Հ.Ա. Հովակիմյան, Լ.Վ. Վարդանյան, Ս.Գ. Խաչատրյան, Զ.Դ. Թավադյան
Armenian Journal of Health & Medical Sciences.2021; : 27. CrossRef
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Concordance of Mini-Mental State Examination, Montreal Cognitive Assessment and Parkinson Neuropsychometric Dementia Assessment in the classification of cognitive performance in Parkinson's disease
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Journal of Clinical Neuroscience.2019; 70: 169. CrossRef
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Konversionen von kognitiven Screenings
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Der Nervenarzt.2018; 89(12): 1371. CrossRef
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Frontiers in Neurology.2018;[Epub] CrossRef
Validation of MoCA-MMSE Conversion Scales in Korean Patients with Cognitive Impairments
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The MMSE and MoCA for Screening Cognitive Impairment in Less Educated Patients with Parkinson’s Disease: Ji In Kim, Mun Kyung Sunwoo, Young H. Sohn, Phil Hyu Lee, Jin Y. Hong; J Mov Disord. 2016;9(3):152-159. Published online September 21, 2016; DOI: https://doi.org/10.14802/jmd.16020

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Abstract PDF

Objective
To explore whether the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) can be used to screen for dementia or mild cognitive impairment (MCI) in less educated patients with Parkinson’s disease (PD).
Methods
We reviewed the medical records of PD patients who had taken the Korean MMSE (K-MMSE), Korean MoCA (K-MoCA), and comprehensive neuropsychological tests. Predictive values of the K-MMSE and K-MoCA for dementia or MCI were analyzed in groups divided by educational level.
Results
The discriminative powers of the K-MMSE and K-MoCA were excellent [area under the curve (AUC) 0.86–0.97] for detecting dementia but not for detecting MCI (AUC 0.64–0.85). The optimal screening cutoff values of both tests increased with educational level for dementia (K-MMSE < 15 for illiterate, < 20 for 0.5–3 years of education, < 23 for 4–6 years, < 25 for 7–9 years, and < 26 for 10 years or more; K-MoCA < 7 for illiterate, < 13 for 0.5–3 years, < 16 for 4–6 years, < 19 for 7–9 years, < 20 for 10 years or more) and MCI (K-MMSE < 19 for illiterate, < 26 for 0.5–3 years, < 27 for 4–6 years, < 28 for 7–9 years, and < 29 for 10 years or more; K-MoCA < 13 for illiterate, < 21 for 0.5–3 years, < 23 for 4–6 years, < 25 for 7–9 years, < 26 for 10 years or more).
Conclusion
Both MMSE and MoCA can be used to screen for dementia in patients with PD, regardless of educational level; however, neither test is sufficient to discriminate MCI from normal cognition without additional information.

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Neuroscience & Biobehavioral Reviews.2024; 161: 105672. CrossRef
Association between executive and physical functions in people with Parkinson’s disease
Fatma Kübra Çekok, Turhan Kahraman, Arzu Genç, Gözde Duran, Berril Dönmez Çolakoğlu, Deniz Yerlikaya, Görsev Yener
Somatosensory & Motor Research.2023; : 1. CrossRef
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Brain Imaging and Behavior.2023; 17(6): 702. CrossRef
Resting-state electroencephalographic characteristics related to mild cognitive impairments
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Dementia & Neuropsychologia.2023;[Epub] CrossRef
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Sleep Medicine.2022; 89: 10. CrossRef
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Robert E. Kelly, Anthony O. Ahmed, Matthew J. Hoptman
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Frontiers in Neurology.2022;[Epub] CrossRef
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Movement Disorders.2022; 37(12): 2355. CrossRef
Obesity marker trajectories and cognitive impairment in older adults: a 10-year follow-up in Taichung community health study for elders
Tsai-Chung Li, Chia-Ing Li, Chiu-Shong Liu, Chih-Hsueh Lin, Shing-Yu Yang, Cheng-Chieh Lin
BMC Psychiatry.2022;[Epub] CrossRef
The Six‐item Clock‐Drawing Scoring System: a rapid screening for cognitive impairment in Parkinson's disease
Praween Lolekha, Chanya Tangkanakul, Thanida Saengchatri, Pornlapat Kulkeartprasert
Psychogeriatrics.2021; 21(1): 24. CrossRef
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European Journal of Clinical Pharmacology.2021; 77(7): 1039. CrossRef
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Scientific Reports.2021;[Epub] CrossRef
Altered regional homogeneity and connectivity in cerebellum and visual-motor relevant cortex in Parkinson's disease with rapid eye movement sleep behavior disorder
Jinjing Liu, Guangying Shuai, Weidong Fang, Yingcheng Zhu, Huiyue Chen, Yuchan Wang, Qun Li, Yu Han, Dezhi Zou, Oumei Cheng
Sleep Medicine.2021; 82: 125. 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
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Neuropsychiatric Disease and Treatment.2021; Volume 17: 2697. CrossRef
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Journal of Movement Disorders.2020; 13(3): 205. CrossRef
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Parkinsonism & Related Disorders.2020; 80: 148. CrossRef
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Jae-Yeop Kim, Sung-jin Park, Sung-Kyung Kim, Chang-Soo Kim, Tae-Hei Kim, Seong-Ho Min, Sung-Soo Oh, Sang-Baek Koh, Stephen D. Ginsberg
PLOS ONE.2019; 14(3): e0213738. CrossRef
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Usman Ghafoor, Jun-Hwan Lee, Keum-Shik Hong, Sang-Soo Park, Jieun Kim, Ho-Ryong Yoo
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Review Articles

Gastrointestinal Autonomic Dysfunction in Patients with Parkinson’s Disease: Joong-Seok Kim, Hye-Young Sung; J Mov Disord. 2015;8(2):76-82. Published online May 31, 2015; DOI: https://doi.org/10.14802/jmd.15008

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Abstract PDF

Currently, gastrointestinal dysfunctions in Parkinson’s disease (PD) are well-recognized problems and are known to be an initial symptom in the pathological process that eventually results in PD. Gastrointestinal symptoms may result from the involvement of either the central or enteric nervous systems, or these symptoms may be side effects of antiparkinsonian medications. Weight loss, excessive salivation, dysphagia, nausea/gastroparesis, constipation, and defecation dysfunction all may occur. Increased identification and early detection of these symptoms can result in a significant improvement in the quality of life for PD patients.

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Pharmacological Reviews.2024; 76(1): 7. CrossRef
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Yasmine M. Kehnemouyi, Todd P. Coleman, Peter A. Tass
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Brain Research Bulletin.2023; 202: 110729. CrossRef
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Journal of Molecular Neuroscience.2022; 72(9): 1952. CrossRef
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Acta Pharmaceutica Sinica B.2021;[Epub] CrossRef
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Electrophysiologic Assessments of Involuntary Movements: Tremor and Myoclonus: Hyun-Dong Park, Hee-Tae Kim; J Mov Disord. 2009;2(1):14-17.; DOI: https://doi.org/10.14802/jmd.09004

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Abstract PDF

Tremor is defined as a rhythmical, involuntary oscillatory movement of a body part. Although neurological examination reveals information regarding its frequency, regularity, amplitude, and activation conditions, the electrophysiological investigations help in confirming the tremor, in differentiating it from other hyperkinetic disorders like myoclonus, and may provide etiological clues. Accelerometer with surface electromyogram (EMG) can be used to document the dominant frequency of a tremor, which may be useful as certain frequencies are more characteristic of specific etiologies than others hyperkinetic disorders. It may show rhythmic bursts, duration and activation pattern (alternating or synchronous). Myoclonus is a quick, involuntary movement. Electrophysiological studies may helpful in the evaluation of myoclonus, not only for confirming the clinical diagnosis but also for understanding the underlying physiological mechanisms. Electroencephalogram (EEG)-EMG correlates can give us important information about myoclonus. Jerk-locked back-averaging and evoked potentials with recording of the long-latency, long-loop reflexes are currently available to study the pathophysiology of myoclonus.

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