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- Four Cases with Peripheral Trauma Induced Involuntary Movements
- Eun Joo Chung, Sang Jin Kim, Won Yong Lee, Jong Seok Bae, Eung Gyu Kim, Sung Hwa Pang
- J Mov Disord. 2010;3(2):39-41.
- DOI: https://doi.org/10.14802/jmd.10010
- 9,311 View
- 58 Download
- 2 Crossref
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Abstract
PDF Background and Purpose Although peripheral trauma induced movement disorders have been rarely reported, diagnostic criteria for peripherally induced movement disorders (PIMD) have been established. Because preexisting subclinical movement disorders, or secondary gain for compensation and legal purposes are difficult to confirm, differential diagnosis for physicians still remains difficult.
Case Reports We present four patients developed movement disorders after relatively various intervals after traffic accident. Three patients of them showed tremor and one patient presented propriospinal myoclonus. In this report, we investigate whether peripheral trauma can lead to movement disorders and describe the relationship between peripheral injury and movement disorders in four cases.
Conclusions Injury was serious enough to develop involuntary abnormal movements with pain and the latency between injury and the onset of movements in all of cases was less than 1 year. Thus, our cases showed temporal and anatomical correlation between injury and the onset of movement disorder, strongly supporting the cause-and-effect relationship by previous diagnostic criteria for peripherally induced movement disorders.
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Citations
Citations to this article as recorded by
- Early onset of propriospinal-like myoclonus in a child following a vertebral fracture
Carlotta Facini, Marina Barsacchi, Benedetta Piccolo, Emanuela Claudia Turco, Francesco Pisani
Neurology.2016; 87(9): 956. CrossRef - Propriospinal myoclonus: The spectrum of clinical and neurophysiological phenotypes
E. Antelmi, F. Provini
Sleep Medicine Reviews.2014;[Epub] CrossRef
- Early onset of propriospinal-like myoclonus in a child following a vertebral fracture
- Usefulness of Diffusion-Weighted MRI for Differentiation between Parkinson’s Disease and Parkinson Variant of Multiple System Atrophy
- Eun Joo Chung, Eung Gyu Kim, Jong Seok Bae, Choong Ki Eun, Kwang Sig Lee, Minkyung Oh, Sang Jin Kim
- J Mov Disord. 2009;2(2):64-68.
- DOI: https://doi.org/10.14802/jmd.09017
- 12,103 View
- 73 Download
- 14 Crossref
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Abstract
PDF
Background and Purpose: Several studies have reported that diffusion-weighted imaging (DWI) is able to help discriminate a Parkinson variant of multiple system atrophy (MSA-p) from Parkinson’s disease (PD) on the basis of the increased regional apparent diffusion coefficient (rADC). We analyzed the usefulness of DWI by using the rADC for differential diagnosis between MSA-p and PD and investigated the correlation between the rADC value and clinical features of MSA-p and PD.
Methods: Twelve patients with PD and 10 with MSA-p were studied. The rADC value was determined in different brain regions, including the dorsal putamen (DP) and middle cerebellar peduncles (MCP).
Results: The rADC values of the DP showed a greater increase in MSA-p patients than in PD patients (
p =0.03). MSA-p patients also presented increased rADC values of the MCP compared with PD patients (p =0.0001). In particular, the sensitivity, specificity and positive predictive values of the MCP rADC were higher than those of the DP rADC. However, DP and MCP rADC values were not correlated with clinical features in either MSA or PD patients.Conclusions: DWI discriminated between PD and MSA-p based on rADC values in DP and MCP. The MCP rADC value, in particular, could better discriminate MSA-p from PD.
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Citations
Citations to this article as recorded by- Diffusion Magnetic Resonance Imaging Microstructural Abnormalities in Multiple System Atrophy: A Comprehensive Review
Jacopo Pasquini, Michael J. Firbank, Roberto Ceravolo, Vincenzo Silani, Nicola Pavese
Movement Disorders.2022; 37(10): 1963. CrossRef - Quantitative MRI markers in Parkinson's disease and parkinsonian syndromes
Germain Arribarat, Patrice Péran
Current Opinion in Neurology.2020; 33(2): 222. CrossRef - Unified platform for multimodal voxel-based analysis to evaluate tumour perfusion and diffusion characteristics before and after radiation treatment evaluated in metastatic brain cancer
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The British Journal of Radiology.2019;[Epub] CrossRef - “One line”: A method for differential diagnosis of parkinsonian syndromes
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Acta Neurologica Scandinavica.2019; 140(3): 229. CrossRef - Early stages of Parkinson’s disease: aspects of the diagnosis and therapy
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Frontiers in Neuroscience.2018;[Epub] CrossRef - Widespread diffusion changes differentiate Parkinson's disease and progressive supranuclear palsy
Aron S. Talai, Jan Sedlacik, Kai Boelmans, Nils D. Forkert
NeuroImage: Clinical.2018; 20: 1037. CrossRef - Magnetic resonance imaging for the diagnosis of Parkinson’s disease
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Journal of Neural Transmission.2017; 124(8): 915. CrossRef - Diffusion-weighted MRI distinguishes Parkinson disease from the parkinsonian variant of multiple system atrophy: A systematic review and meta-analysis
Sweta Bajaj, Florian Krismer, Jose-Alberto Palma, Gregor K. Wenning, Horacio Kaufmann, Werner Poewe, Klaus Seppi, Jan Kassubek
PLOS ONE.2017; 12(12): e0189897. CrossRef - Free-water imaging in Parkinson’s disease and atypical parkinsonism
Peggy J. Planetta, Edward Ofori, Ofer Pasternak, Roxana G. Burciu, Priyank Shukla, Jesse C. DeSimone, Michael S. Okun, Nikolaus R. McFarland, David E. Vaillancourt
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Movement Disorders.2016; 31(6): 814. CrossRef - The difference of apparent diffusion coefficient in the middle cerebellar peduncle among parkinsonian syndromes: Evidence from a meta-analysis
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Journal of the Neurological Sciences.2016; 363: 90. CrossRef - Imaging-based differential diagnosis between multiple system atrophy and Parkinson's disease
Wataru Sako, Takashi Abe, Nagahisa Murakami, Yoshimichi Miyazaki, Yuishin Izumi, Masafumi Harada, Ryuji Kaji
Journal of the Neurological Sciences.2016; 368: 104. CrossRef - Brain MR Contribution to the Differential Diagnosis of Parkinsonian Syndromes: An Update
Giovanni Rizzo, Stefano Zanigni, Roberto De Blasi, Daniela Grasso, Davide Martino, Rodolfo Savica, Giancarlo Logroscino
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- Diffusion Magnetic Resonance Imaging Microstructural Abnormalities in Multiple System Atrophy: A Comprehensive Review
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