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Volume 11(1); January 2018
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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
  • 9,333 View
  • 411 Download
  • 6 Citations
AbstractAbstract PDF
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

Citations to this article as recorded by  
  • 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
  • 18 F‐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
  • 8,015 View
  • 229 Download
  • 6 Citations
AbstractAbstract 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.

Citations

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  • Topological data analysis in biomedicine: A review
    Yara Skaf, Reinhard Laubenbacher
    Journal of Biomedical Informatics.2022; 130: 104082.     CrossRef
  • 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
  • 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
    IEEE Access.2020; 8: 113090.     CrossRef
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
  • 8,796 View
  • 245 Download
  • 10 Citations
AbstractAbstract PDFSupplementary 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.

Citations

Citations to this article as recorded by  
  • 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
    Journal of Movement Disorders.2022; 15(1): 53.     CrossRef
  • Evaluation of Anticipatory Postural Adjustment before Quantified Weight Shifting—System Development and Reliability Test
    Jiunn-Woei Liaw, Rou-Shayn Chen, Vincent Chiun-Fan Chen, Yan-Ru Wang, Hsiao-Lung Chan, Ya-Ju Chang
    Applied Sciences.2021; 11(2): 758.     CrossRef
  • Use of Standardized and Non-Standardized Tools for Measuring the Risk of Falls and Independence in Clinical Practice
    Jan Neugebauer, Valérie Tóthová, Jitka Doležalová
    International Journal of Environmental Research and Public Health.2021; 18(6): 3226.     CrossRef
  • Decreased foot height may be a subclinical shuffling gait in early stage of Parkinson’s disease: A study of three-dimensional motion analysis
    Kyong Jin Shin, Jinse Park, Samyeol Ha, Kang Min Park, Sung Eun Kim, Byung In Lee, Dong Ah Lee, Hee-Tae Kim, Ji-Yeon Yoon
    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
    Satyabrata Aich, Pyari Mohan Pradhan, Sabyasachi Chakraborty, Hee-Cheol Kim, Hee-Tae Kim, Hae-Gu Lee, Il Hwan Kim, Moon-il Joo, Sim Jong Seong, Jinse Park
    Journal of Healthcare Engineering.2020; 2020: 1.     CrossRef
  • Psychometric properties and domains of postural control tests for individuals with knee osteoarthritis: a systematic review
    Helen P. French, Charlotte K. Hager, Anne Venience, Ryan Fagan, Dara Meldrum
    International Journal of Rehabilitation Research.2020; 43(2): 102.     CrossRef
  • 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
    Clinical Rehabilitation.2019; 33(12): 1949.     CrossRef
  • 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
    PeerJ.2019; 7: e7957.     CrossRef
  • Evaluation of Balance Disorders in Parkinson's Disease Using Simple Diagnostic Tests—Not So Simple to Choose
    Karolina Krzysztoń, Jakub Stolarski, Jan Kochanowski
    Frontiers in Neurology.2018;[Epub]     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
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
  • 7,303 View
  • 233 Download
  • 13 Citations
AbstractAbstract 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.

Citations

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  • Comparative study of two Chinese versions of Montreal Cognitive Assessment for Screening of Mild Cognitive Impairment
    Yu-Yuan Huang, Shu-Xia Qian, Qiao-Bing Guan, Ke-Liang Chen, Qian-Hua Zhao, Jia-Hong Lu, Qi-Hao Guo
    Applied Neuropsychology: Adult.2021; 28(1): 88.     CrossRef
  • Conversion between Mini‐Mental State Examination and Montreal Cognitive Assessment scores in older adults undergoing selective surgery using Rasch analysis
    Xiaoying Chen, Huangliang Wen, Jinni Wang, Yayan Yi, Jialan Wu, Xiaoyan Liao
    Journal of Advanced Nursing.2021; 77(2): 729.     CrossRef
  • Converting from the Montreal Cognitive Assessment to the Mini-Mental State Examination-2
    Hwabeen Yang, Daehyuk Yim, Moon Ho Park, Antony Bayer
    PLOS ONE.2021; 16(7): e0254055.     CrossRef
  • Validation of Four Methods for Converting Scores on the Montreal Cognitive Assessment to Scores on the Mini-Mental State Examination-2
    Sung Hoon Kang, Moon Ho Park
    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
  • Determinant of Quality of Life in Patients with Chronic Cerebral Infarct
    Yujin Lee, Joon Sung Kim, Bo Young Hong, Jung Geun Park, Jae Wan Yoo, Kyoung Bo Lee, Tae-Woo Kim, Seong Hoon Lim
    Brain & Neurorehabilitation.2020;[Epub]     CrossRef
  • Concordance of Mini-Mental State Examination, Montreal Cognitive Assessment and Parkinson Neuropsychometric Dementia Assessment in the classification of cognitive performance in Parkinson's disease
    Jannik Florian Scheffels, Leon Fröhlich, Elke Kalbe, Josef Kessler
    Journal of the Neurological Sciences.2020; 412: 116735.     CrossRef
  • Hand motor functions on the presence of red fluorescent dental biofilm in older community-dwelling Koreans
    Na-Ri Shin, Yeo-Jin Yi, Jun-Seon Choi
    Photodiagnosis and Photodynamic Therapy.2019; 28: 120.     CrossRef
  • Is the modified Mann Assessment of Swallowing Ability useful for assessing dysphagia in patients with mild to moderate dementia?
    Eun Kyu Ji, Hae Hyun Wang, Sung June Jung, Kyoung Bo Lee, Joon Sung Kim, Bo Young Hong, Seong Hoon Lim
    Journal of Clinical Neuroscience.2019; 70: 169.     CrossRef
  • The Changes for Strength of Oropharyngeal Muscles in Patients with Dementia and Dysphagia
    Eun Kyu Ji, Hae Hyun Wang, Sung June Jung, Kyoung Bo Lee, Joon Sung Kim, Bo Young Hong, Tae-Woo Kim, Seong Hoon Lim
    Brain & Neurorehabilitation.2019;[Epub]     CrossRef
  • Konversionen von kognitiven Screenings
    J. F. Scheffels, H. Kräling, E. Kalbe, J. Kessler
    Der Nervenarzt.2018; 89(12): 1371.     CrossRef
  • Manual Dexterity and Aging: A Pilot Study Disentangling Sensorimotor From Cognitive Decline
    Loic Carment, Abir Abdellatif, Carmelo Lafuente-Lafuente, Sylvie Pariel, Marc A. Maier, Joël Belmin, Påvel G. Lindberg
    Frontiers in Neurology.2018;[Epub]     CrossRef
  • Validation of MoCA-MMSE Conversion Scales in Korean Patients with Cognitive Impairments
    Young Ik Jung, Eun Hye Jeong, Heejin Lee, Junghee Seo, Hyun-Jeong Yu, Jin Y. Hong, Mun Kyung Sunwoo
    Dementia and Neurocognitive Disorders.2018; 17(4): 148.     CrossRef
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
  • 6,725 View
  • 161 Download
  • 5 Citations
AbstractAbstract 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.

Citations

Citations to this article as recorded by  
  • Supination/pronation movement quantification using stereoscopic vision based system towards Parkinson’s Disease assessment – A pilot study
    Pedro G. Vaz, Ana L. Reis, João Cardoso
    Biomedical Signal Processing and Control.2020; 60: 101976.     CrossRef
  • Wuqinxi Exercise Improves Hand Dexterity in Patients with Parkinson’s Disease
    Tian Wang, Guiping Xiao, Zhenlan Li, Kuncheng Jie, Mengyue Shen, Yan Jiang, Zhen Wang, Xiangrong Shi, Jie Zhuang, Jiao Liu
    Evidence-Based Complementary and Alternative Medicine.2020; 2020: 1.     CrossRef
  • Handling objects with very wet skin reduce variability during precision grip task
    Deepa Kandaswamy, Muthukumar Murthy, Mahasampath Gowri S, Mathew Alexander, Srinivasa Babu Krothapalli
    Neuroscience Letters.2019; 703: 177.     CrossRef
  • Parkinsonian patients do not utilize probabilistic advance information in a grip-lift task
    Leif Trampenau, Johann P. Kuhtz-Buschbeck, Thilo van Eimeren
    Parkinsonism & Related Disorders.2019; 65: 67.     CrossRef
  • Sensorimotor Control in Dystonia
    Desrochers, Brunfeldt, Sidiropoulos, Kagerer
    Brain Sciences.2019; 9(4): 79.     CrossRef
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
  • 6,115 View
  • 174 Download
  • 10 Citations
AbstractAbstract 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.

Citations

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  • A heterozygous de novo PSEN1 mutation in a patient with early-onset parkinsonism
    Yueting Chen, Peng Liu, Fei Xie, Bo Wang, Zhiru Lin, Wei Luo
    Neurological Sciences.2022; 43(2): 1405.     CrossRef
  • Nomenclature of Genetic Movement Disorders: Recommendations of the International Parkinson and Movement Disorder Society Task Force – An Update
    Lara M. Lange, Paulina Gonzalez‐Latapi, Rajasumi Rajalingam, Marina A.J. Tijssen, Darius Ebrahimi‐Fakhari, Carolin Gabbert, Christos Ganos, Rhia Ghosh, Kishore R. Kumar, Anthony E. Lang, Malco Rossi, Sterre Veen, Bart Warrenburg, Tom Warner, Katja Lohmann
    Movement Disorders.2022; 37(5): 905.     CrossRef
  • Progressive cognitive impairment and familial spastic paraparesis due to PRESENILIN 1 mutation: anatomoclinical characterization
    Miren Altuna, Rosa Larumbe, María Victoria Zelaya, Sira Moreno, Virginia García-Solaesa, Maite Mendioroz, María Antonia Ramos, María Elena Erro
    Journal of Neurology.2022; 269(9): 4853.     CrossRef
  • Scoring Algorithm‐Based Genomic Testing in Dystonia: A Prospective Validation Study
    Michael Zech, Robert Jech, Sylvia Boesch, Matej Škorvánek, Ján Necpál, Jana Švantnerová, Matias Wagner, Ariane Sadr‐Nabavi, Felix Distelmaier, Martin Krenn, Tereza Serranová, Irena Rektorová, Petra Havránková, Alexandra Mosejová, Iva Příhodová, Jana Šarlá
    Movement Disorders.2021; 36(8): 1959.     CrossRef
  • PET/MRI Delivers Multimodal Brain Signature in Alzheimer’s Disease with De Novo PSEN1 Mutation
    Gayane Aghakhanyan, Dorothee Saur, Michael Rullmann, Christopher M. Weise, Matthias L. Schroeter, Ken Marek, Rami Abou Jamra, Solveig Tiepolt, Maria Strauss, Cordula Scherlach, Karl-Titus Hoffmann, Osama Sabri, Joseph Classen, Henryk Barthel
    Current Alzheimer Research.2021; 18(2): 178.     CrossRef
  • Spinocerebellar Ataxia-Like Presentation of the M233V PSEN1 Mutation
    Yury Seliverstov, Ilya Kanivets, Sergey Illarioshkin
    The Cerebellum.2020; 19(5): 744.     CrossRef
  • NetCore: a network propagation approach using node coreness
    Gal Barel, Ralf Herwig
    Nucleic Acids Research.2020; 48(17): e98.     CrossRef
  • Diagnostic Approach of Early-Onset Dementia with Negative Family History: Implications from Two Cases of Early-Onset Alzheimer’s Disease with De Novo PSEN1 Mutation
    Jia Liu, Qianqian Wang, Donglai Jing, Ran Gao, Jing Zhang, Chunlei Cui, Hongwen Qiao, Zhigang Liang, Chaodong Wang, Pedro Rosa-Neto, Liyong Wu, Jianping Jia, Serge Gauthier
    Journal of Alzheimer's Disease.2019; 68(2): 551.     CrossRef
  • A Clinical Case of Patient Carrying Rare Pathological PSEN1 Gene Mutation (L424V) Demonstrates the Phenotypic Heterogenity of Early Onset Familial AD
    Kaloyan R. Stoychev, Maya Stoimenova-Popova, Petranka Chumpalova, Lilia Ilieva, Mohamed Swamad, Zornitsa Kamburova-Martinova
    Frontiers in Psychiatry.2019;[Epub]     CrossRef
  • Deficiency in the transcription factor NRF2 worsens inflammatory parameters in a mouse model with combined tauopathy and amyloidopathy
    Ana I. Rojo, Marta Pajares, Angel J. García-Yagüe, Izaskun Buendia, Fred Van Leuven, Masayuki Yamamoto, Manuela G. López, Antonio Cuadrado
    Redox Biology.2018; 18: 173.     CrossRef
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
  • 6,121 View
  • 123 Download
  • 4 Citations
PDF

Citations

Citations to this article as recorded by  
  • 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
    Journal of the Neurological Sciences.2020; 418: 117091.     CrossRef
  • Paroxysmal movement disorders – practical update on diagnosis and management
    Claudio M. De Gusmao, Laura Silveira-Moriyama
    Expert Review of Neurotherapeutics.2019; 19(9): 807.     CrossRef
  • 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
    Clinical Neurophysiology.2018; 129(11): 2435.     CrossRef

JMD : Journal of Movement Disorders