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|a 10.1155/2017/7323121
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|a eng
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|a Wang, Anqin
|e verfasserin
|4 aut
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|a Study on Lesion Assessment of Cerebello-Thalamo-Cortical Network in Wilson's Disease with Diffusion Tensor Imaging
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|c 2017
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|a Text
|b txt
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|a ƒaComputermedien
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|a Date Completed 08.05.2018
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|a Date Revised 13.11.2018
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a Wilson's disease (WD) is a genetic disorder of copper metabolism with pathological copper accumulation in the brain and any other tissues. This article aimed to assess lesions in cerebello-thalamo-cortical network with an advanced technique of diffusion tensor imaging (DTI) in WD. 35 WD patients and 30 age- and sex-matched healthy volunteers were recruited to accept diffusion-weighted images with 15 gradient vectors and conventional magnetic resonance imaging (MRI). The DTI parameters, including fractional anisotropy (FA) and mean diffusion (MD), were calculated by diffusion kurtosis estimator software. After registration, patient groups with FA mappings and MD mappings and normal groups were compared with 3dttest and receiver-operating characteristic (ROC) curve analysis, corrected with FDR simulations (p = 0.001, α = 0.05, cluster size = 326). We found that the degree of FA increased in the bilateral head of the caudate nucleus (HCN), lenticular nucleus (LN), ventral thalamus, substantia nigra (SN), red nucleus (RN), right dentate nucleus (DN), and decreased in the mediodorsal thalamus and extensive white matter. The value of MD increased in HCN, LN, SN, RN, and extensive white matter. The technique of DTI provides higher sensitivity and specificity than conventional MRI to detect Wilson's disease. Besides, lesions in the basal ganglia, thalamus, and cerebellum might disconnect the basal ganglia-thalamo-cortical circuits or dentato-rubro-thalamic (DRT) track and disrupt cerebello-thalamo-cortical network finally, which may cause clinical extrapyramidal symptoms
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|a Journal Article
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|a Wu, Hongli
|e verfasserin
|4 aut
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|a Xu, Chunsheng
|e verfasserin
|4 aut
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|a Tang, Lanfeng
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Lee, Jaeyoun
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Wang, Min
|e verfasserin
|4 aut
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|a Jiang, Man
|e verfasserin
|4 aut
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|a Li, Chuanfu
|e verfasserin
|4 aut
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| 700 |
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|a Lu, Qi
|e verfasserin
|4 aut
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| 700 |
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|a Zhang, Chunyun
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Neural plasticity
|d 1998
|g 2017(2017) vom: 14., Seite 7323121
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|u http://dx.doi.org/10.1155/2017/7323121
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