Journal of Movement Disorders

Original Articles

Comparing MoCA Performance in Parkinson’s disease: Age and Education-Adjusted Cutoffs vs. Machine Learning: Kyeongmin Baek, Young Min Kim, Han Kyu Na, Junki Lee, Dong Ho Shin, Seok-Jae Heo, Seok Jong Chung, Kiyong Kim, Phil Hyu Lee, Young H Sohn, Jeehee Yoon, Yun Joong Kim; Received December 23, 2023 Accepted February 12, 2024 Published online February 13, 2024; DOI: https://doi.org/10.14802/jmd.23271 [Accepted]

430 View
47 Download

Abstract PDF: Background
and Objectives The Montreal Cognitive Assessment (MoCA) is recommended for general cognitive evaluation in Parkinson’s Disease (PD). However, age- and education-adjusted cutoffs specifically for PD have not been developed and systematically validated across PD cohorts with diverse education levels.
Methods
This retrospective analysis utilized data from 1,293 Korean patients with PD, where cognitive diagnoses were determined through comprehensive neuropsychological assessments. Age- and education-adjusted cutoffs were formulated based on 1,202 patients with PD. To identify the optimal machine learning model, clinical parameters and MoCA domain scores from 416 patients with PD were used. Comparative analyses between machine learning and different cutoffs were conducted on an additional 91 consecutive patients with PD.
Results
The cutoffs for cognitive impairment decrease with advancing age within the same education level. Similarly, lower education levels within the same age group correspond to lower cutoffs. For individuals aged 60–80, cutoffs were set as follows: 25 or 24 for those with over 12 years of education, 23 or 22 for 10–12 years, and 21 or 20 for 7–9 years. Comparisons between age- and education-adjusted cutoffs and the machine learning method showed comparable accuracies. The cutoff method demonstrated higher sensitivity (0.8627), whereas machine learning achieved higher specificity (0.8250).
Conclusions
Both the age- and education-adjusted cutoff method and machine learning demonstrated high effectiveness in detecting cognitive impairment in PD. This study highlights the necessity of tailored cutoffs and suggests the potential of machine learning to enhance cognitive assessments in PD.

Potential Link Between Cognition and Motor Reserve in Patients With Parkinson’s Disease: Seok Jong Chung, Yae Ji Kim, Yun Joong Kim, Hye Sun Lee, Mijin Yun, Phil Hyu Lee, Yong Jeong, Young H. Sohn; J Mov Disord. 2022;15(3):249-257. Published online September 7, 2022; DOI: https://doi.org/10.14802/jmd.22063

2,716 View
149 Download
3 Web of Science
3 Crossref

Objective
To investigate whether there is a link between cognitive function and motor reserve (i.e., individual capacity to cope with nigrostriatal dopamine depletion) in patients with newly diagnosed Parkinson’s disease (PD).
Methods
A total of 163 patients with drug-naïve PD who underwent ¹⁸F-FP-CIT PET, brain MRI, and a detailed neuropsychological test were enrolled. We estimated individual motor reserve based on initial motor deficits and striatal dopamine depletion using a residual model. We performed correlation analyses between motor reserve estimates and cognitive composite scores. Diffusion connectometry analysis was performed to map the white matter fiber tracts, of which fractional anisotropy (FA) values were well correlated with motor reserve estimates. Additionally, Cox regression analysis was used to assess the effect of initial motor reserve on the risk of dementia conversion.
Results
The motor reserve estimate was positively correlated with the composite score of the verbal memory function domain (γ = 0.246) and with the years of education (γ = 0.251). Connectometry analysis showed that FA values in the left fornix were positively correlated with the motor reserve estimate, while no fiber tracts were negatively correlated with the motor reserve estimate. Cox regression analysis demonstrated that higher motor reserve estimates tended to be associated with a lower risk of dementia conversion (hazard ratio, 0.781; 95% confidence interval, 0.576–1.058).
Conclusion
The present study demonstrated that the motor reserve estimate was well correlated with verbal memory function and with white matter integrity in the left fornix, suggesting a possible link between cognition and motor reserve in patients with PD.

Citations

Citations to this article as recorded by

Hippocampal Perfusion Affects Motor and Cognitive Functions in Parkinson Disease: An Early Phase 18F‐FP‐CIT Positron Emission Tomography Study
Min Young Chun, Seok Jong Chung, Su Hong Kim, Chan Wook Park, Seong Ho Jeong, Hye Sun Lee, Phil Hyu Lee, Young H. Sohn, Yong Jeong, Yun Joong Kim
Annals of Neurology.2024; 95(2): 388. CrossRef
Imaging Procedure and Clinical Studies of [18F]FP-CIT PET
Changhwan Sung, Seung Jun Oh, Jae Seung Kim
Nuclear Medicine and Molecular Imaging.2024;[Epub] CrossRef
Extra-Basal Ganglia Brain Structures Are Related to Motor Reserve in Parkinson’s Disease
Jinyoung Youn, Ji Hye Won, Mansu Kim, Junmo Kwon, Seung Hwan Moon, Minkyeong Kim, Jong Hyun Ahn, Jun Kyu Mun, Hyunjin Park, Jin Whan Cho
Journal of Parkinson's Disease.2023; 13(1): 39. CrossRef

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

3,063 View
135 Download

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.

Review Article

Emerging Concepts of Motor Reserve in Parkinson’s Disease: Seok Jong Chung, Jae Jung Lee, Phil Hyu Lee, Young H. Sohn; J Mov Disord. 2020;13(3):171-184. Published online August 31, 2020; DOI: https://doi.org/10.14802/jmd.20029

9,946 View
308 Download
28 Web of Science
31 Crossref

Abstract PDF

The concept of cognitive reserve (CR) in Alzheimer’s disease (AD) explains the differences between individuals in their susceptibility to AD-related pathologies. An enhanced CR may lead to less cognitive deficits despite severe pathological lesions. Parkinson’s disease (PD) is also a common neurodegenerative disease and is mainly characterized by motor dysfunction related to striatal dopaminergic depletion. The degree of motor deficits in PD is closely correlated to the degree of dopamine depletion; however, significant individual variations still exist. Therefore, we hypothesized that the presence of motor reserve (MR) in PD explains the individual differences in motor deficits despite similar levels of striatal dopamine depletion. Since 2015, we have performed a series of studies investigating MR in de novo patients with PD using the data of initial clinical presentation and dopamine transporter PET scan. In this review, we summarized the results of these published studies. In particular, some premorbid experiences (i.e., physical activity and education) and modifiable factors (i.e., body mass index and white matter hyperintensity on brain image studies) could modulate an individual’s capacity to tolerate PD pathology, which can be maintained throughout disease progression.

Citations

Citations to this article as recorded by

How long have you exercised in your life? The effect of motor reserve and current physical activity on cognitive performance
Veronica Pucci, Carolina Guerra, Amanda Barsi, Massimo Nucci, Sara Mondini
Journal of the International Neuropsychological Society.2024; 30(1): 11. CrossRef
Hippocampal Perfusion Affects Motor and Cognitive Functions in Parkinson Disease: An Early Phase 18F‐FP‐CIT Positron Emission Tomography Study
Min Young Chun, Seok Jong Chung, Su Hong Kim, Chan Wook Park, Seong Ho Jeong, Hye Sun Lee, Phil Hyu Lee, Young H. Sohn, Yong Jeong, Yun Joong Kim
Annals of Neurology.2024; 95(2): 388. CrossRef
Clinical severity in Parkinson’s disease is determined by decline in cortical compensation
Martin E Johansson, Ivan Toni, Roy P C Kessels, Bastiaan R Bloem, Rick C Helmich
Brain.2024; 147(3): 871. CrossRef
Differences in [123I]Ioflupane Striatal Binding Between African American and White Patients
Juebin Huang, Kevin J. Sullivan, Vani Vijayakumar
Journal of Nuclear Medicine Technology.2024; : jnmt.123.265806. CrossRef
Plasma extracellular vesicle synaptic proteins as biomarkers of clinical progression in patients with Parkinson’s disease
Chien-Tai Hong, Chen-Chih Chung, Ruan-Ching Yu, Lung Chan
eLife.2024;[Epub] CrossRef
Plasma extracellular vesicle synaptic proteins as biomarkers of clinical progression in patients with Parkinson’s disease
Chien-Tai Hong, Chen-Chih Chung, Ruan-Ching Yu, Lung Chan
eLife.2024;[Epub] CrossRef
Considering the response in addition to the challenge – a narrative review in appraisal of a motor reserve framework
Daniel Zeller, Shawn Hiew, Thorsten Odorfer, Carine Nguemeni
Aging.2024; 16(6): 5772. CrossRef
The greatest loss of unpleasant smells may be related to the risk of more severe PD symptoms
Shih-Chi Chiu, Ting-Chun Fang, Hsin-Bei Lei, Yu-Hsuan Lin, Ming-Hong Chang, Yi-Jen Guo
Frontiers in Neurology.2024;[Epub] CrossRef
Lifestyle Modulators of Neuroplasticity in Parkinson’s Disease: Evidence in Human Neuroimaging Studies
Silvia Paola Caminiti, Silvia Gallo, Federico Menegon, Andrea Naldi, Cristoforo Comi, Giacomo Tondo
CNS & Neurological Disorders - Drug Targets.2024; 23(5): 602. CrossRef
Motor progression marker for newly diagnosed drug‐naïve patients with Parkinson's disease: A resting‐state functional MRI study
Yanbing Hou, Lingyu Zhang, Ruwei Ou, Qianqian Wei, Xiaojing Gu, Kuncheng Liu, Junyu Lin, Tianmi Yang, Yi Xiao, Qiyong Gong, Huifang Shang
Human Brain Mapping.2023; 44(3): 901. CrossRef
The Concept of Motor Reserve in Parkinson's Disease: New Wine in Old Bottles?
Merle C. Hoenig, Verena Dzialas, Alexander Drzezga, Thilo van Eimeren
Movement Disorders.2023; 38(1): 16. CrossRef
Patterns of striatal dopamine depletion and motor deficits in de novo Parkinson’s disease
Seong Ho Jeong, Chan Wook Park, Hye Sun Lee, Yun Joong Kim, Mijin Yun, Phil Hyu Lee, Young H. Sohn, Seok Jong Chung
Journal of Neural Transmission.2023; 130(1): 19. CrossRef
Sex Differences in Brain Structure in de novo Parkinson’s Disease: A Cross-Sectional and Longitudinal Neuroimaging Study
Hui Li, Xuejia Jia, Min Chen, Xiuqin Jia, Qi Yang
Journal of Parkinson's Disease.2023; 13(5): 785. CrossRef
Exploring the Complex Phenotypes of Impaired Finger Dexterity in Mild-to-moderate Stage Parkinson’s Disease: A Time-Series Analysis
Pattamon Panyakaew, Kotchakorn Duangjino, Apiwoot Kerddonfag, Teerit Ploensin, Krerk Piromsopa, Chanon Kongkamol, Roongroj Bhidayasiri
Journal of Parkinson's Disease.2023; 13(6): 975. CrossRef
Prevention of Falls in Parkinson's Disease: Guidelines and Gaps
Richard Camicioli, Meg E. Morris, Frederico Pieruccini‐Faria, Manuel Montero‐Odasso, Surim Son, David Buzaglo, Jeffrey M. Hausdorff, Alice Nieuwboer
Movement Disorders Clinical Practice.2023; 10(10): 1459. CrossRef
The incidence of deep venous thrombosis in Parkinson’s disease
Emine Afsin, Zeliha Coşgun, Ramazan Kurul, Şule Aydın Türkoğlu
Neurological Research.2023; 45(11): 1050. CrossRef
Premorbid Educational Attainment and Long-Term Motor Prognosis in Parkinson’s Disease
Seong Ho Jeong, Seok Jong Chung, Han Soo Yoo, Jin Ho Jung, Kyoungwon Baik, Yang Hyun Lee, Phil Hyu Lee, Young H. Sohn
Journal of Parkinson's Disease.2022; 12(1): 129. CrossRef
Parkinsonism and cerebrovascular disease
Manisha Narasimhan, Raymond Schwartz, Glenda Halliday
Journal of the Neurological Sciences.2022; 433: 120011. CrossRef
Impact of α‐synuclein spreading on the nigrostriatal dopaminergic pathway depends on the onset of the pathology
Fanfan Sun, Armando G. Salinas, Severin Filser, Sonja Blumenstock, Jose Medina‐Luque, Jochen Herms, Carmelo Sgobio
Brain Pathology.2022;[Epub] CrossRef
Premorbid cancer and motor reserve in patients with Parkinson’s disease
Yoon-Sang Oh, Sang-Won Yoo, Chul Hyoung Lyoo, Kwang-Soo Lee, Joong-Seok Kim
Scientific Reports.2022;[Epub] CrossRef
Behavioral Reserve in Behavioral Variant Frontotemporal Dementia
Su Hong Kim, Yae Ji Kim, Byung Hwa Lee, Peter Lee, Ji Hyung Park, Sang Won Seo, Yong Jeong
Frontiers in Aging Neuroscience.2022;[Epub] CrossRef
Identifying the white matter structural network of motor reserve in early Parkinson's disease
Yae Ji Kim, Chan Wook Park, Hye Won Shin, Hye Sun Lee, Yun Joong Kim, Mijin Yun, Phil Hyu Lee, Young H. Sohn, Yong Jeong, Seok Jong Chung
Parkinsonism & Related Disorders.2022; 102: 108. 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
Genetically-informed prediction of short-term Parkinson’s disease progression
Hossein J. Sadaei, Aldo Cordova-Palomera, Jonghun Lee, Jaya Padmanabhan, Shang-Fu Chen, Nathan E. Wineinger, Raquel Dias, Daria Prilutsky, Sandor Szalma, Ali Torkamani
npj Parkinson's Disease.2022;[Epub] CrossRef
Potential Link Between Cognition and Motor Reserve in Patients With Parkinson’s Disease
Seok Jong Chung, Yae Ji Kim, Yun Joong Kim, Hye Sun Lee, Mijin Yun, Phil Hyu Lee, Yong Jeong, Young H. Sohn
Journal of Movement Disorders.2022; 15(3): 249. CrossRef
Local striatal volume and motor reserve in drug-naïve Parkinson’s disease
Seong Ho Jeong, Eun-Chong Lee, Seok Jong Chung, Hye Sun Lee, Jin Ho Jung, Young H. Sohn, Joon-Kyung Seong, Phil Hyu Lee
npj Parkinson's Disease.2022;[Epub] CrossRef
Effectiveness and safety of electroacupuncture in treating Parkinson disease
Wei Xu, Sha OuYang, Zhenhai Chi, ZhiQin Wang, DaoCheng Zhu, RiXin Chen, GenPing Zhong, FengTing Zhang, GuiQin Zhou, SiWei Duan, Lin Jiao
Medicine.2021; 100(10): e25095. CrossRef
Differences in cause and 12-month follow-up outcome of parkinsonian symptoms in depressed older adults treated with antipsychotics: a case series
Anastasios Politis, Nikolaos Kokras, Michael Souvatzoglou, Kostas Siarkos, Panagiotis Toulas, Constantin Potagas, Theodoros Hatzipanagiotou, Georgios Limouris, Panagiotis Alexopoulos
BMC Psychiatry.2021;[Epub] CrossRef
Effectiveness and safety of moxibustion for Parkinson disease
Yonghui Hou, Baile Ning, Yamin Liu, Ying Liu, Wenbin Fu, Zehuai Wen
Medicine.2021; 100(23): e26256. CrossRef
Glucocerebrosidase Mutations and Motor Reserve in Parkinson’s Disease
Seok Jong Chung, Phil Hyu Lee, Young H. Sohn, Yun Joong Kim
Journal of Parkinson's Disease.2021; 11(4): 1715. CrossRef
Analysis of pupillometer results according to disease stage in patients with Parkinson’s disease
Sooyeoun You, Jeong-Ho Hong, Joonsang Yoo
Scientific Reports.2021;[Epub] CrossRef

Original Article

Association between Olfactory Deficit and Motor and Cognitive Function in Parkinson’s Disease: Han Soo Yoo, Seok Jong Chung, Yang Hyun Lee, Byoung Seok Ye, Young H. Sohn, Phil Hyu Lee; J Mov Disord. 2020;13(2):133-141. Published online April 6, 2020; DOI: https://doi.org/10.14802/jmd.19082

10,022 View
280 Download
21 Web of Science
21 Crossref

Abstract PDF Supplementary Material

Objective
To investigate whether baseline olfactory dysfunction in Parkinson’s disease (PD) patients is associated with baseline and longitudinal motor and cognitive function.
Methods
We recruited 228 drug-naïve PD patients who were followed for a mean of 6 years. Patients underwent the Cross-Cultural Smell Identification Test (CCSIT), a neuropsychological test, and N-(3-[18F]fluoropropyl)-2β-carbomethoxy-3β-(4-iodophenyl) nortropane positron emission tomography within 6 months of the baseline evaluation. Olfactory dysfunction was categorized as normosmia (CCSIT score ≥ 9), hyposmia (CCSIT score 5–8), and anosmia (CCSIT score ≤ 4). During the follow-up period, we investigated changes in the levodopa-equivalent dose (LED) and the occurrence of wearing-off, levodopa-induced dyskinesia, and dementia.
Results
Among the PD patients, 80.7% were hyposmic at the time of diagnosis, and 26.1% were anosmic. Baseline olfactory dysfunction was not associated with either initial parkinsonian motor symptoms or with the longitudinal LED increment and motor complications. Meanwhile, the anosmic group had lower baseline scores on the Korea version of the Boston Naming Test and Stroop color reading test than the normosmic and hyposmic groups. The anosmic group exhibited a higher rate of conversion to dementia than the normosmic [adjusted hazard ratio (HR) 3.99, 95% confidence interval (CI) 1.08–14.72] and hyposmic (adjusted HR 2.48, 95% CI 1.15–5.32) PD groups, regardless of baseline motor deficits and cognitive status.
Conclusion
Baseline olfactory dysfunction was not associated with motor deficits and complications, but it was associated with cognitive dysfunction and prognosis, suggesting that severe olfactory impairment may reflect early cortical involvement, probably in the frontotemporal region, and rapid spreading of Lewy body pathology.

Citations

Citations to this article as recorded by

Correlation of olfactory function factors with cardiac sympathetic denervation in Parkinson’s disease
Dong-Woo Ryu, Sang-Won Yoo, Ko-Eun Choi, Yoon-Sang Oh, Joong-Seok Kim
Journal of Neurology.2024; 271(3): 1397. CrossRef
Estimating motor progression trajectory pursuant to temporal dynamic status of cardiac denervation in Parkinson’s disease
Sang-Won Yoo, Dong-Woo Ryu, Yoon-Sang Oh, Seunggyun Ha, Chul Hyoung Lyoo, Yuna Kim, Ji-Yeon Yoo, Joong-Seok Kim
Journal of Neurology.2024; 271(4): 2019. CrossRef
Olfactory Dysfunction in Parkinson’s Disease, Its Functional and Neuroanatomical Correlates
Gabriel Torres-Pasillas, Donají Chi-Castañeda, Porfirio Carrillo-Castilla, Gerardo Marín, María Elena Hernández-Aguilar, Gonzalo Emiliano Aranda-Abreu, Jorge Manzo, Luis I. García
NeuroSci.2023; 4(2): 134. CrossRef
Impact of deep brain stimulation (DBS) on olfaction in Parkinson's disease: Clinical features and functional hypotheses
G. Brand, C. Bontempi, L. Jacquot
Revue Neurologique.2023; 179(9): 947. CrossRef
Sequential change in olfaction and (non) motor symptoms: the difference between anosmia and non-anosmia in Parkinson’s disease
Ting-Chun Fang, Yu-Shan Tsai, Ming-Hong Chang
Frontiers in Aging Neuroscience.2023;[Epub] CrossRef
Traumatic brain injury-induced inflammatory changes in the olfactory bulb disrupt neuronal networks leading to olfactory dysfunction
Xiang Liu, Zhuofan Lei, Dylan Gilhooly, Junyun He, Yun Li, Rodney M. Ritzel, Hui Li, Long-Jun Wu, Shaolin Liu, Junfang Wu
Brain, Behavior, and Immunity.2023; 114: 22. CrossRef
Serum Biomarkers of Olfactory Identification Deficits in Patients with Parkinson’s Disease
Fu-Jia Li, Yang-Dan-Yu Li, Xu Liu, Jie Zu, Wei Zhang, Qi-Hua Xiao, Xue-Bin Niu, Li Du, Chen-Chen Cui, Ru-Yu Zhang, Xiao-Qing He, Gui-Yun Cui, Chuan-Ying Xu, Dominic B. Fee
Acta Neurologica Scandinavica.2023; 2023: 1. CrossRef
UPSIT subitems may predict motor progression in Parkinson’s disease
Yu-Hsuan Lin, Ting-Chun Fang, Hsin-Bei Lei, Shih-Chi Chiu, Ming-Hong Chang, Yi-Jen Guo
Frontiers in Neurology.2023;[Epub] CrossRef
Olfactory dysfunction is associated with motor function only in tremor-dominant Parkinson’s disease
Fardin Nabizadeh, Kasra Pirahesh, Elham Khalili
Neurological Sciences.2022; 43(7): 4193. CrossRef
Novel diagnostic tools for identifying cognitive impairment using olfactory-stimulated functional near-infrared spectroscopy: patient-level, single-group, diagnostic trial
Jaewon Kim, Dong Keon Yon, Kyu Yeong Choi, Jang Jae Lee, Namwoo Kim, Kun Ho Lee, Jae Gwan Kim
Alzheimer's Research & Therapy.2022;[Epub] CrossRef
The Role of Olfactory System in the Etiogenesis of Parkinson’s Diseases: An Overview
Jiju Narayanan Avanipully, Dithu Thekkekkara, Sahyadri M, Vipan K. Parihar, Santhepete Nanjundaiah Manjula
Journal of Pharmacology and Pharmacotherapeutics.2022; 13(1): 31. CrossRef
International consensus statement on allergy and rhinology: Olfaction
Zara M. Patel, Eric H. Holbrook, Justin H. Turner, Nithin D. Adappa, Mark W. Albers, Aytug Altundag, Simone Appenzeller, Richard M. Costanzo, Ilona Croy, Greg E. Davis, Puya Dehgani‐Mobaraki, Richard L. Doty, Valerie B. Duffy, Bradley J. Goldstein, David
International Forum of Allergy & Rhinology.2022; 12(4): 327. CrossRef
Does Olfactory Dysfunction Correlate with Disease Progression in Parkinson’s Disease? A Systematic Review of the Current Literature
Tommaso Ercoli, Carla Masala, Gianluca Cadeddu, Marcello Mario Mascia, Gianni Orofino, Angelo Fabio Gigante, Paolo Solla, Giovanni Defazio, Lorenzo Rocchi
Brain Sciences.2022; 12(5): 513. CrossRef
Olfactory dysfunction and striatal dopamine transporter binding in motor subtypes of Parkinson’s disease
Fardin Nabizadeh, Fatemeh Sodeifian, Kasra Pirahesh
Neurological Sciences.2022; 43(8): 4745. CrossRef
Olfaction and Executive Cognitive Performance: A Systematic Review
Vasudeva Murthy Challakere Ramaswamy, Peter William Schofield
Frontiers in Psychology.2022;[Epub] CrossRef
Nasal and Parotid Blood Pool Activity Is Significantly Correlated with Metabolic Syndrome Components and Sleep Apnea
William T. Phillips, Nasser J. Issa, Shereef B. Elhalwagi, Hilda T. Draeger, Joyce G. Schwartz, Jonathan A. Gelfond
Metabolic Syndrome and Related Disorders.2022; 20(7): 395. CrossRef
Chronic neuropsychiatric sequelae of SARS‐CoV‐2: Protocol and methods from the Alzheimer's Association Global Consortium
Gabriel A. de Erausquin, Heather Snyder, Traolach S. Brugha, Sudha Seshadri, Maria Carrillo, Rajesh Sagar, Yueqin Huang, Charles Newton, Carmela Tartaglia, Charlotte Teunissen, Krister Håkanson, Rufus Akinyemi, Kameshwar Prasad, Giovanni D'Avossa, Gabriel
Alzheimer's & Dementia: Translational Research & Clinical Interventions.2022;[Epub] CrossRef
Machine learning-based prediction of cognitive outcomes in de novo Parkinson’s disease
Joshua Harvey, Rick A. Reijnders, Rachel Cavill, Annelien Duits, Sebastian Köhler, Lars Eijssen, Bart P. F. Rutten, Gemma Shireby, Ali Torkamani, Byron Creese, Albert F. G. Leentjens, Katie Lunnon, Ehsan Pishva
npj Parkinson's Disease.2022;[Epub] CrossRef
Impact of Subthalamic Deep Brain Stimulation on Hyposmia in Patients With Parkinson's Disease Is Influenced by Constipation and Dysbiosis of Microbiota
Chao Li, Ying Hou, Xu Wang, Yue-xuan Li, Feng Li, Chao Zhang, Wei-guo Li
Frontiers in Neurology.2021;[Epub] CrossRef
Hyposmia may predict development of freezing of gait in Parkinson’s disease
Jae Jung Lee, Jin Yong Hong, Jong Sam Baik
Journal of Neural Transmission.2021; 128(6): 763. CrossRef
Clinical and Dopamine Depletion Patterns in Hyposmia- and Dysautonomia-Dominant Parkinson’s Disease
Han Soo Yoo, Sangwon Lee, Seong Ho Jeong, Byoung Seok Ye, Young H. Sohn, Mijin Yun, Phil Hyu Lee
Journal of Parkinson's Disease.2021; 11(4): 1703. CrossRef

Case Report

A Case of Abnormal Postures in the Left Extremities after Pontine Hemorrhage: Dystonia or Pseudodystonia?: Chan Wook Park, Seok Jong Chung, Young H. Sohn, Phil Hyu Lee; J Mov Disord. 2020;13(1):62-65. Published online January 31, 2020; DOI: https://doi.org/10.14802/jmd.19074

4,952 View
130 Download
2 Crossref

Abstract PDF Supplementary Material

It is difficult to determine the pathoanatomical correlates of dystonia because of its complex pathophysiology, and most cases with secondary dystonia are associated with basal ganglia lesions. Moreover, it is a challenging issue that patients with abnormal postures accompanied by other neurological findings in the affected body part (e.g., sensory loss) can be diagnosed with true dystonia or pseudodystonia. Here, we report a case of abnormal postures with loss of proprioception in the left extremities after right dorsal pontine hemorrhage.

Citations

Citations to this article as recorded by

Rehabilitation of hemidystonia as a result of right pontine hemorrhagic stroke
Melanie Aing, Craig DiTommaso
The Journal of the International Society of Physical and Rehabilitation Medicine.2023; 6(4): 116. CrossRef
Hemidystonia after Pontine Hemorrhage Successfully Treated with Pharmacotherapy and Intensive Rehabilitation: a Case Report
Gyu Seong Kim, Yeon Gyu Jeong, Yoon Jeong Jeong, Seo Yeon Yoon
Brain & Neurorehabilitation.2021;[Epub] CrossRef

Original Article

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

7,575 View
159 Download
25 Web of Science
26 Crossref

Abstract PDF Supplementary 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

Citations to this article as recorded by

The Molecular Pathway of p75 Neurotrophin Receptor (p75NTR) in Parkinson’s Disease: The Way of New Inroads
Naif H. Ali, Hayder M. Al-kuraishy, Ali I. Al-Gareeb, Saud A. Alnaaim, Hebatallah M. Saad, Gaber El-Saber Batiha
Molecular Neurobiology.2024; 61(5): 2469. CrossRef
Patterns of regional cerebral hypoperfusion in early Parkinson's disease: Clinical implications
Seok Jong Chung, Su Hong Kim, Chan Wook Park, Hye Sun Lee, Mijin Yun, Yun Joong Kim, Young H. Sohn, Yong Jeong, Phil Hyu Lee
Parkinsonism & Related Disorders.2024; 121: 106024. CrossRef
Therapeutic Potential Effect of Glycogen Synthase Kinase 3 Beta (GSK-3β) Inhibitors in Parkinson Disease: Exploring an Overlooked Avenue
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
Molecular Neurobiology.2024;[Epub] CrossRef
Imaging Procedure and Clinical Studies of [18F]FP-CIT PET
Changhwan Sung, Seung Jun Oh, Jae Seung Kim
Nuclear Medicine and Molecular Imaging.2024;[Epub] CrossRef
Association of Family History and Polygenic Risk Score With Longitudinal Prognosis in Parkinson Disease
Mincheol Park, Young-gun Lee
Neurology Genetics.2024;[Epub] CrossRef
Hippocampal Perfusion Affects Motor and Cognitive Functions in Parkinson Disease: An Early Phase 18F‐FP‐CIT Positron Emission Tomography Study
Min Young Chun, Seok Jong Chung, Su Hong Kim, Chan Wook Park, Seong Ho Jeong, Hye Sun Lee, Phil Hyu Lee, Young H. Sohn, Yong Jeong, Yun Joong Kim
Annals of Neurology.2024; 95(2): 388. CrossRef
The effects of cholesterol and statins on Parkinson’s neuropathology: a narrative review
Hayder M. Al-kuraishy, Esraa H. Fahad, Salah Al-Windy, Suzy A. El-Sherbeni, Walaa A. Negm, Gaber El-Saber Batiha
Inflammopharmacology.2024; 32(2): 917. CrossRef
The Concept of Motor Reserve in Parkinson's Disease: New Wine in Old Bottles?
Merle C. Hoenig, Verena Dzialas, Alexander Drzezga, Thilo van Eimeren
Movement Disorders.2023; 38(1): 16. CrossRef
Memory Phenotypes In Early, De Novo Parkinson's Disease Patients with Mild Cognitive Impairment
Mattia Siciliano, Rosa De Micco, Andrea Gerardo Russo, Fabrizio Esposito, Valeria Sant'Elia, Lucia Ricciardi, Francesca Morgante, Antonio Russo, Jennifer G. Goldman, Carlo Chiorri, Gioacchino Tedeschi, Luigi Trojano, Alessandro Tessitore
Movement Disorders.2023; 38(8): 1461. CrossRef
A meta-analysis identifies factors predicting the future development of freezing of gait in Parkinson’s disease
Talia Herman, Yael Barer, Michal Bitan, Shani Sobol, Nir Giladi, Jeffrey M. Hausdorff
npj Parkinson's Disease.2023;[Epub] CrossRef
Premorbid Educational Attainment and Long-Term Motor Prognosis in Parkinson’s Disease
Seong Ho Jeong, Seok Jong Chung, Han Soo Yoo, Jin Ho Jung, Kyoungwon Baik, Yang Hyun Lee, Phil Hyu Lee, Young H. Sohn
Journal of Parkinson's Disease.2022; 12(1): 129. CrossRef
Treatment Enhances Betweenness Centrality of Fronto-Parietal Network in Parkinson’s Patients
Qing Liu, ZhongYan Shi, Kexin Wang, Tiantian Liu, Shintaro Funahashi, Jinglong Wu, Jian Zhang
Frontiers in Computational Neuroscience.2022;[Epub] CrossRef
Identifying the white matter structural network of motor reserve in early Parkinson's disease
Yae Ji Kim, Chan Wook Park, Hye Won Shin, Hye Sun Lee, Yun Joong Kim, Mijin Yun, Phil Hyu Lee, Young H. Sohn, Yong Jeong, Seok Jong Chung
Parkinsonism & Related Disorders.2022; 102: 108. CrossRef
Potential Link Between Cognition and Motor Reserve in Patients With Parkinson’s Disease
Seok Jong Chung, Yae Ji Kim, Yun Joong Kim, Hye Sun Lee, Mijin Yun, Phil Hyu Lee, Yong Jeong, Young H. Sohn
Journal of Movement Disorders.2022; 15(3): 249. CrossRef
Association Between White Matter Networks and the Pattern of Striatal Dopamine Depletion in Patients With Parkinson Disease
Seok Jong Chung, Yae Ji Kim, Yun Joong Kim, Hye Sun Lee, Seong Ho Jeong, Ji-Man Hong, Young H. Sohn, Mijin Yun, Yong Jeong, Phil Hyu Lee
Neurology.2022;[Epub] CrossRef
Gut microbiota-derived metabolite trimethylamine N-oxide as a biomarker in early Parkinson's disease
Seok Jong Chung, John Hoon Rim, Dajeong Ji, Sangwon Lee, Han Soo Yoo, Jin Ho Jung, KyoungWon Baik, Yonghoon Choi, Byoung Seok Ye, Young H. Sohn, Mijin Yun, Sang-Guk Lee, Phil Hyu Lee
Nutrition.2021; 83: 111090. CrossRef
White Matter Hyperintensities, Dopamine Loss, and Motor Deficits in De Novo Parkinson's Disease
Seong Ho Jeong, Hye Sun Lee, Jin Ho Jung, Kyoungwon Baik, Yang Hyun Lee, Han Soo Yoo, Young H. Sohn, Seok Jong Chung, Phil Hyu Lee
Movement Disorders.2021; 36(6): 1411. CrossRef
Temporalis Muscle Thickness as an Indicator of Sarcopenia Is Associated With Long-term Motor Outcomes in Parkinson’s Disease
Seok Jong Chung, Yun Joong Kim, Han Soo Yoo, Jin Ho Jung, KyoungWon Baik, Hye Sun Lee, Yang Hyun Lee, Ji-Man Hong, Young H Sohn, Phil Hyu Lee, Jay Magaziner
The Journals of Gerontology: Series A.2021; 76(12): 2242. CrossRef
Perivascular Spaces in the Basal Ganglia and Long-term Motor Prognosis in Newly Diagnosed Parkinson Disease
Seok Jong Chung, Han Soo Yoo, Na-Young Shin, Yae Won Park, Hye Sun Lee, Ji-Man Hong, Yun Joong Kim, Seung-Koo Lee, Phil Hyu Lee, Young H. Sohn
Neurology.2021;[Epub] CrossRef
Diagnosis and treatment of old-onset Parkinson's disease
久大立花
Nippon Ronen Igakkai Zasshi. Japanese Journal of Geriatrics.2021; 58(3): 341. CrossRef
Genetic factors affecting dopaminergic deterioration during the premotor stage of Parkinson disease
Myung Jun Lee, Kyoungjune Pak, Han-Kyeol Kim, Kelly N. Nudelman, Jong Hun Kim, Yun Hak Kim, Junho Kang, Min Seok Baek, Chul Hyoung Lyoo
npj Parkinson's Disease.2021;[Epub] CrossRef
Dopamine Transporter, Age, and Motor Complications in Parkinson's Disease: A Clinical and Single‐Photon Emission Computed Tomography Study
Giovanni Palermo, Sara Giannoni, Daniela Frosini, Riccardo Morganti, Duccio Volterrani, Ubaldo Bonuccelli, Nicola Pavese, Roberto Ceravolo
Movement Disorders.2020; 35(6): 1028. CrossRef
Positron emission tomography/computed tomography dual imaging using 18-fluorine flurodeoxyglucose and 11C-labeled 2-β-carbomethoxy-3-β-(4-fluorophenyl) tropane for the severity assessment of Parkinson disease
Xiaohong Li, Qizhou Zhang, Yongde Qin, Yubin Li, Nazimuguli Mutaerbieke, Xiaojia Zhao, Amina Yibulayin
Medicine.2020; 99(14): e19662. CrossRef
DaTSCAN (123I-FP-CIT SPECT) imaging in early versus mid and late onset Parkinson's disease: Longitudinal data from the PPMI study
Christos Koros, Athina-Maria Simitsi, Andreas Prentakis, Nikolaos Papagiannakis, Anastasia Bougea, Ioanna Pachi, Dimitra Papadimitriou, Ion Beratis, Sokratis G. Papageorgiou, Maria Stamelou, Xenia Geronicola Trapali, Leonidas Stefanis
Parkinsonism & Related Disorders.2020; 77: 36. CrossRef
Prediction of age at onset in Parkinson’s disease using objective specific neuroimaging genetics based on a sparse canonical correlation analysis
Ji Hye Won, Mansu Kim, Jinyoung Youn, Hyunjin Park
Scientific Reports.2020;[Epub] CrossRef
Emerging Concepts of Motor Reserve in Parkinson’s Disease
Seok Jong Chung, Jae Jung Lee, Phil Hyu Lee, Young H. Sohn
Journal of Movement Disorders.2020; 13(3): 171. CrossRef

Case Report

A Case of Isolated Middle Cerebral Artery Stenosis with Hemichorea and Moyamoya Pattern Collateralization: Seok Jong Chung, Hyung Seok Lee, Han Soo Yoo, Kyung Min Kim, Ki Jeong Lee, Jong-Soo Kim, Jae-Wook Lee, Jong Hun Kim, Jeong Hee Cho, Gyu Sik Kim, Jun Hong Lee, Sun-Ah Choi; J Mov Disord. 2013;6(1):13-16.; DOI: https://doi.org/10.14802/jmd.13003

11,486 View
98 Download
5 Crossref

Abstract PDF

Isolated middle cerebral artery (MCA) stenosis in young patients with no other medical condition may be a unique pathologic entity with a benign long-term course. Generally, moyamoya disease shows a progression of stenosis from internal cerebral artery (ICA) to other intracranial vessel. A 26-year-old woman was admitted for choreic movements of the right arm and leg. Brain magnetic resonance imaging showed no stroke. Conventional angiography revealed 48% stenosis of the left M1 without ICA stenosis. Single photon emission computed tomography revealed perfusion asymmetry after acetazolamide injection, suggesting decreased uptake in the left basal ganglia and the cerebral cortex. Her hemichorea was mildly decreased with risperidone. One year later, follow-up angiography showed complete occlusion of the left M1 with neovascularization suggestive of moyamoya disease. The patient underwent bypass surgery and her hemichorea disappeared. This may be an atypical presentation of moyamoya disease. The bypass surgery was an effective measure for restoring the vascular insufficiency and, resultantly, controlling her hemichorea.

Citations

Citations to this article as recorded by

Hemichorea in patients with temporal lobe infarcts: Two case reports
Xu-Dong Wang, Xing Li, Chun-Lian Pan
World Journal of Clinical Cases.2024; 12(4): 806. CrossRef
Truncal dystonia with isolated middle cerebral artery ischemia: A case report of revascularization therapy for dystonia
Shinichi Matsumoto, Yuki Yamamoto, Koji Fujita, Ryosuke Miyamoto, Hidetaka Koizumi, Akihiro Tateishi, Naoaki Yamada, Yuishin Izumi
Surgical Neurology International.2022; 13: 155. CrossRef
Geriatric Case of Moyamoya Disease Presenting with Hemiballismus as an Initial Manifestation
Koichiro SATO, Masaru IDEI, Kenichirou NOGAMI, Makoto KURESHIMA, Kaname HOKAO, Rina TORII, Takenori UOZUMI, Junkoh YAMAMOTO
Surgery for Cerebral Stroke.2022; 50(6): 508. CrossRef
Persistent Hemichorea as a Preceding Symptom of Cerebral Infarction Due to Middle Cerebral Artery Stenosis
Yuki Ueta, Haruhisa Kato, Makiko Naito, Takeshi Taguchi, Hiroo Terashi, Hitoshi Aizawa
Internal Medicine.2021; 60(23): 3805. CrossRef
Clinical findings of a patient with hemiballism after superficial temporal artery-middle cerebral artery anastomosis for idiopathic middle cerebral artery stenosis
Hideaki Shibata, Yuichi Hayashi, Nobuaki Yoshikura, Megumi Yamada, Akio Kimura, Takayoshi Shimohata
Rinsho Shinkeigaku.2019; 59(12): 829. CrossRef

First
Prev
Page of 1
Next
Last

Search