Journal of Movement Disorders

Volume 11(1); January 2018

Review Article

Tau Positron Emission Tomography Imaging in Degenerative Parkinsonisms: Chul Hyoung Lyoo, Hanna Cho, Jae Yong Choi, Young Hoon Ryu, Myung Sik Lee; J Mov Disord. 2018;11(1):1-12. Published online January 23, 2018; DOI: https://doi.org/10.14802/jmd.17071

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In recent years, several radiotracers that selectively bind to pathological tau proteins have been developed. Evidence is emerging that binding patterns of in vivo tau positron emission tomography (PET) studies in Alzheimer’s disease (AD) patients closely resemble the distribution patterns of known neurofibrillary tangle pathology, with the extent of tracer binding reflecting the clinical and pathological progression of AD. In Lewy body diseases (LBD), tau PET imaging has clearly revealed cortical tau burden with a distribution pattern distinct from AD and increased cortical binding within the LBD spectrum. In progressive supranuclear palsy, the globus pallidus and midbrain have shown increased binding most prominently. Tau PET patterns in patients with corticobasal syndrome are characterized by asymmetrical uptake in the motor cortex and underlying white matter, as well as in the basal ganglia. Even in the patients with multiple system atrophy, which is basically a synucleinopathy, ¹⁸F-flortaucipir, a widely used tau PET tracer, also binds to the atrophic posterior putamen, possibly due to off-target binding. These distinct patterns of tau-selective radiotracer binding in the various degenerative parkinsonisms suggest its utility as a potential imaging biomarker for the differential diagnosis of parkinsonisms.

Citations

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Current directions in tau research: Highlights from Tau 2020
Claire Sexton, Heather Snyder, Dirk Beher, Adam L. Boxer, Pat Brannelly, Jean‐Pierre Brion, Luc Buée, Angela M. Cacace, Gaël Chételat, Martin Citron, Sarah L. DeVos, Kristophe Diaz, Howard H. Feldman, Bess Frost, Alison M. Goate, Michael Gold, Bradley Hym
Alzheimer's & Dementia.2022; 18(5): 988. CrossRef
18F‐Florzolotau Tau Positron Emission Tomography Imaging in Patients with Multiple System Atrophy–Parkinsonian Subtype
Feng‐Tao Liu, Xin‐Yi Li, Jia‐Ying Lu, Ping Wu, Ling Li, Xiao‐Niu Liang, Zi‐Zhao Ju, Fang‐Yang Jiao, Ming‐Jia Chen, Jing‐Jie Ge, Yi‐Min Sun, Jian‐Jun Wu, Tzu‐Chen Yen, Jian‐Feng Luo, Chuantao Zuo, Jian Wang
Movement Disorders.2022; 37(9): 1915. CrossRef
Imaging pathological tau in atypical parkinsonisms: A review
Anastassia M. Mena, Antonio P. Strafella
Clinical Parkinsonism & Related Disorders.2022; 7: 100155. CrossRef
Integrated 18F-T807 Tau PET, Structural MRI, and Plasma Tau in Tauopathy Neurodegenerative Disorders
Cheng-Hsuan Li, Ta-Fu Chen, Ming-Jang Chiu, Ruoh-Fang Yen, Ming-Chieh Shih, Chin-Hsien Lin
Frontiers in Aging Neuroscience.2021;[Epub] CrossRef
Dual-Phase 18F-FP-CIT PET in Corticobasal Syndrome
Je Hong Min, Dong Gyu Park, Jung Han Yoon, Young Sil An
Clinical Nuclear Medicine.2019; 44(1): e49. CrossRef
Tau Positron-Emission Tomography in Former National Football League Players
Robert A. Stern, Charles H. Adler, Kewei Chen, Michael Navitsky, Ji Luo, David W. Dodick, Michael L. Alosco, Yorghos Tripodis, Dhruman D. Goradia, Brett Martin, Diego Mastroeni, Nathan G. Fritts, Johnny Jarnagin, Michael D. Devous, Mark A. Mintun, Michael
New England Journal of Medicine.2019; 380(18): 1716. CrossRef

Original Articles

Alteration in the Local and Global Functional Connectivity of Resting State Networks in Parkinson’s Disease: Maryam Ghahremani, Jaejun Yoo, Sun Ju Chung, Kwangsun Yoo, Jong C. Ye, Yong Jeong; J Mov Disord. 2018;11(1):13-23. Published online January 23, 2018; DOI: https://doi.org/10.14802/jmd.17061

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Abstract PDF

Objective
Parkinson’s disease (PD) is a neurodegenerative disorder that mainly leads to the impairment of patients’ motor function, as well as of cognition, as it progresses. This study tried to investigate the impact of PD on the resting state functional connectivity of the default mode network (DMN), as well as of the entire brain.
Methods
Sixty patients with PD were included and compared to 60 matched normal control (NC) subjects. For the local connectivity analysis, the resting state fMRI data were analyzed by seed-based correlation analyses, and then a novel persistent homology analysis was implemented to examine the connectivity from a global perspective.
Results
The functional connectivity of the DMN was decreased in the PD group compared to the NC, with a stronger difference in the medial prefrontal cortex. Moreover, the results of the persistent homology analysis indicated that the PD group had a more locally connected and less globally connected network compared to the NC.
Conclusion
Our findings suggest that the DMN is altered in PD, and persistent homology analysis, as a useful measure of the topological characteristics of the networks from a broader perspective, was able to identify changes in the large-scale functional organization of the patients’ brain.

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Topological disruption of high‐order functional networks in cognitively preserved Parkinson's disease
Song'an Shang, Siying Zhu, Jingtao Wu, Yao Xu, Lanlan Chen, Weiqiang Dou, Xindao Yin, Yu‐Chen Chen, Dejuan Shen, Jing Ye
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IABC: A Toolbox for Intelligent Analysis of Brain Connectivity
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Neuroinformatics.2023; 21(2): 303. CrossRef
Topological data analysis in biomedicine: A review
Yara Skaf, Reinhard Laubenbacher
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Altered Long- and Short-Range Functional Connectivity Density in Patients With Thyroid-Associated Ophthalmopathy: A Resting-State fMRI Study
Wen-Hao Jiang, Huan-Huan Chen, Wen Chen, Qian Wu, Lu Chen, Jiang Zhou, Xiao-Quan Xu, Hao Hu, Fei-Yun Wu
Frontiers in Neurology.2022;[Epub] CrossRef
Modulations of static and dynamic functional connectivity among brain networks by electroacupuncture in post-stroke aphasia
Minjie Xu, Ying Gao, Hua Zhang, Binlong Zhang, Tianli Lyu, Zhongjian Tan, Changming Li, Xiaolin Li, Xing Huang, Qiao Kong, Juan Xiao, Georg S. Kranz, Shuren Li, Jingling Chang
Frontiers in Neurology.2022;[Epub] CrossRef
Multi-dimensional persistent feature analysis identifies connectivity patterns of resting-state brain networks in Alzheimer’s disease
Jin Li, Chenyuan Bian, Haoran Luo, Dandan Chen, Luolong Cao, Hong Liang
Journal of Neural Engineering.2021; 18(1): 016012. CrossRef
Characterizing resting‐state networks in Parkinson’s disease: A multi‐aspect functional connectivity study
Mahdieh Ghasemi, Ali Foroutannia, Abbas Babajani‐Feremi
Brain and Behavior.2021;[Epub] CrossRef
The role of the medial prefrontal cortex in cognition, ageing and dementia
Dan D Jobson, Yoshiki Hase, Andrew N Clarkson, Rajesh N Kalaria
Brain Communications.2021;[Epub] CrossRef
Image Target Recognition Model of Multi- Channel Structure Convolutional Neural Network Training Automatic Encoder
Sen Zhang, Qiuyun Cheng, Dengxi Chen, Haijun Zhang
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Validity and Reliability Study of the Korean Tinetti Mobility Test for Parkinson’s Disease: Jinse Park, Seong-Beom Koh, Hee Jin Kim, Eungseok Oh, Joong-Seok Kim, Ji Young Yun, Do-Young Kwon, Younsoo Kim, Ji Seon Kim, Kyum-Yil Kwon, Jeong-Ho Park, Jinyoung Youn, Wooyoung Jang; J Mov Disord. 2018;11(1):24-29. Published online January 23, 2018; DOI: https://doi.org/10.14802/jmd.17058

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Abstract PDF Supplementary Material

Objective
Postural instability and gait disturbance are the cardinal symptoms associated with falling among patients with Parkinson’s disease (PD). The Tinetti mobility test (TMT) is a well-established measurement tool used to predict falls among elderly people. However, the TMT has not been established or widely used among PD patients in Korea. The purpose of this study was to evaluate the reliability and validity of the Korean version of the TMT for PD patients.
Methods
Twenty-four patients diagnosed with PD were enrolled in this study. For the interrater reliability test, thirteen clinicians scored the TMT after watching a video clip. We also used the test-retest method to determine intrarater reliability. For concurrent validation, the unified Parkinson’s disease rating scale, Hoehn and Yahr staging, Berg Balance Scale, Timed-Up and Go test, 10-m walk test, and gait analysis by three-dimensional motion capture were also used. We analyzed receiver operating characteristic curve to predict falling.
Results
The interrater reliability and intrarater reliability of the Korean Tinetti balance scale were 0.97 and 0.98, respectively. The interrater reliability and intra-rater reliability of the Korean Tinetti gait scale were 0.94 and 0.96, respectively. The Korean TMT scores were significantly correlated with the other clinical scales and three-dimensional motion capture. The cutoff values for predicting falling were 14 points (balance subscale) and 10 points (gait subscale).
Conclusion
We found that the Korean version of the TMT showed excellent validity and reliability for gait and balance and had high sensitivity and specificity for predicting falls among patients with PD.

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Validity and Reliability of the Korean-Translated Version of the International Cooperative Ataxia Rating Scale in Cerebellar Ataxia
Jinse Park, Jin Whan Cho, Jinyoung Youn, Engseok Oh, Wooyoung Jang, Joong-Seok Kim, Yoon-Sang Oh, Hyungyoung Hwang, Chang-Hwan Ryu, Jin-Young Ahn, Jee-Young Lee, Seong-Beom Koh, Jae H. Park, Hee-Tae Kim
Journal of Movement Disorders.2023; 16(1): 86. CrossRef
Reliability and validity of the Tinetti performance oriented mobility assessment in Chinese community-dwelling older adults
Chen Yang, Yihan Mo, Xi Cao, Song Zhu, Xiuhua Wang, Xiaoqing Wang
Geriatric Nursing.2023; 53: 85. CrossRef
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Elena V. Kostenko, Liudmila V. Petrova, Irena V. Pogonchenkova
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Dance Intervention Using the Feldenkrais Method Improves Motor, and Non-Motor Symptoms and Gait in Parkinson’s Disease: A 12-Month Study
Sung Hoon Kang, Jinhee Kim, Ilsoo Kim, Young Ae Moon, Sojung Park, Seong-Beom Koh
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Gait & Posture.2020; 76: 64. CrossRef
Design of a Machine Learning-Assisted Wearable Accelerometer-Based Automated System for Studying the Effect of Dopaminergic Medicine on Gait Characteristics of Parkinson’s Patients
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Helen P. French, Charlotte K. Hager, Anne Venience, Ryan Fagan, Dara Meldrum
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Measures of balance and falls risk prediction in people with Parkinson’s disease: a systematic review of psychometric properties
Stanley J Winser, Priya Kannan, Umar Muhhamad Bello, Susan L Whitney
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Allelic variant in SLC6A3 rs393795 affects cerebral regional homogeneity and gait dysfunction in patients with Parkinson’s disease
Lina Wang, Yongsheng Yuan, Jianwei Wang, Yuting Shen, Yan Zhi, Junyi Li, Min Wang, Kezhong Zhang
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Evaluation of Balance Disorders in Parkinson's Disease Using Simple Diagnostic Tests—Not So Simple to Choose
Karolina Krzysztoń, Jakub Stolarski, Jan Kochanowski
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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

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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Abstract PDF

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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Կոգնիտիվ վիճակի գնահատման Mini-Mental State Examination (MMSE) սանդղակի հայերեն տարբերակի ադապտացում և վալիդացում
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Quantitative Assessment of Hand Dysfunction in Patients with Early Parkinson’s Disease and Focal Hand Dystonia: Deepa Kandaswamy, MuthuKumar M, Mathew Alexander, Krishna Prabhu, Mahasampath Gowri S, Srinivasa Babu Krothapalli; J Mov Disord. 2018;11(1):35-44. Published online January 11, 2018; DOI: https://doi.org/10.14802/jmd.17046

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Abstract PDF

Objective
Motor impairments related to hand function are common symptoms in patients with movement disorders, such as Parkinson’s disease (PD) and focal hand dystonia (FHD). However, hand dysfunction has not been quantitatively assessed as a clinical tool for screening patient groups from healthy controls (HCs). The aim of our study was 1) to quantitatively assess hand dysfunction in patients with PD and FHD and its usefulness as a screening tool 2) to grade disease severity in PD and FHD based on hand dysfunction.
Methods
The current case-control study included HCs (n = 50) and patients with known history of PD (n = 25) or FHD (n = 16). Hand function was assessed by a precision grip task while participants lifted objects of 1.3 N and 1.7 N under dry skin conditions, followed by very wet skin conditions (VWSCs). Receiver operating characteristic and summative scoring analyses were performed.
Results
In PD, the combination of loading phase duration and lifting phase duration at quantitative cutoffs of 0.36 and 0.74 seconds identified 21/25 patients as diseased and 49/50 subjects as HCs with 1.7 N under VWSCs. In PD, 5/21 was graded as “mild” and 16/21 as “moderate cases.” In FHD, slip force at a cutoff of 1.2 N identified 13/16 patients as diseased and 41/50 subjects as HC with 1.7 N under VWSCs, but disease severity could not be graded.
Conclusion
Our results demonstrate the use of precision grip task as an important clinical tool in assessment of hand dysfunction in movement disorder patients. Use of quantitative cutoffs may improve diagnostic accuracy and serve as a valuable adjunct to existing clinical assessment methods.

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Case Report

PSEN1 p.Met233Val in a Complex Neurodegenerative Movement and Neuropsychiatric Disorder: Silke Appel-Cresswell, Ilaria Guella, Anna Lehman, Dean Foti, Matthew J. Farrer; J Mov Disord. 2018;11(1):45-48. Published online January 11, 2018; DOI: https://doi.org/10.14802/jmd.17066

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Abstract PDF

Mutations in presenilin 1 (PSEN1) are the most common cause of autosomal dominant Alzheimer’s disease. Here, we report a Canadian-Vietnamese family carrying a PSEN1 p.Met233Val mutation with an exceptionally early and severe presentation that includes a wide range of atypical symptoms, including prominent ataxia, Parkinsonism, spasticity, dystonia, action tremor, myoclonus, bulbar symptoms, seizures, hallucinations and behavioral changes. Whole-exome sequencing (WES) was performed on the affected proband after many assessments over several years proved diagnostically inconclusive. The results were analyzed using the AnnEx “Annotated Exomes” browser (http://annex.can.ubc.ca), a web-based platform that facilitates WES variant annotation and interpretation. High-throughput sequencing can be especially informative for complex neurological disorders, and WES warrants consideration as a first-line clinical test. Data analyses facilitated by web-based bioinformatics tools have great potential for novel insight, although confirmatory, diagnostically accredited Sanger sequencing is recommended prior to reporting.

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Letter to the editor

Myotonia Congenita Can Be Mistaken as Paroxysmal Kinesigenic Dyskinesia: Aryun Kim, Mihee Jang, Han-Joon Kim, Yoon Kim, Dae-Seong Kim, Jin-Hong Shin, Beomseok Jeon; J Mov Disord. 2018;11(1):49-51. Published online January 23, 2018; DOI: https://doi.org/10.14802/jmd.17056

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Genetic updates on paroxysmal dyskinesias
James Y. Liao, Philippe A. Salles, Umar A. Shuaib, Hubert H. Fernandez
Journal of Neural Transmission.2021; 128(4): 447. CrossRef
A Japanese family with primary familial brain calcification presenting with paroxysmal kinesigenic dyskinesia - A comprehensive mutational analysis-
Akihiko Mitsutake, Takashi Matsukawa, Kristine Joyce L. Porto, Tatsuya Sato, Junko Katsumata, Tomonari Seki, Risa Maekawa, Takuto Hideyama, Masaki Tanaka, Hiroyuki Ishiura, Tatsushi Toda, Shoji Tsuji, Yasushi Shiio
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Paroxysmal movement disorders – practical update on diagnosis and management
Claudio M. De Gusmao, Laura Silveira-Moriyama
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The study of exercise tests in paroxysmal kinesigenic dyskinesia
Hai-Yan Zhou, Fei-Xia Zhan, Wo-Tu Tian, Chao Zhang, Yan Wang, Ze-Yu Zhu, Xiao-Li Liu, Yang-Qi Xu, Xing-Hua Luan, Xiao-Jun Huang, Sheng-Di Chen, Li Cao
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