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Study on Lesion Assessment of Cerebello-Thalamo-Cortical Network in Wilson's Disease with Diffusion Tensor Imaging

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 patient...

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Autores principales: Wang, Anqin, Wu, Hongli, Xu, Chunsheng, Tang, Lanfeng, Lee, Jaeyoun, Wang, Min, Jiang, Man, Li, Chuanfu, Lu, Qi, Zhang, Chunyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5525080/
https://www.ncbi.nlm.nih.gov/pubmed/28781902
http://dx.doi.org/10.1155/2017/7323121
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author Wang, Anqin
Wu, Hongli
Xu, Chunsheng
Tang, Lanfeng
Lee, Jaeyoun
Wang, Min
Jiang, Man
Li, Chuanfu
Lu, Qi
Zhang, Chunyun
author_facet Wang, Anqin
Wu, Hongli
Xu, Chunsheng
Tang, Lanfeng
Lee, Jaeyoun
Wang, Min
Jiang, Man
Li, Chuanfu
Lu, Qi
Zhang, Chunyun
author_sort Wang, Anqin
collection PubMed
description 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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spelling pubmed-55250802017-08-06 Study on Lesion Assessment of Cerebello-Thalamo-Cortical Network in Wilson's Disease with Diffusion Tensor Imaging Wang, Anqin Wu, Hongli Xu, Chunsheng Tang, Lanfeng Lee, Jaeyoun Wang, Min Jiang, Man Li, Chuanfu Lu, Qi Zhang, Chunyun Neural Plast Research Article 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. Hindawi 2017 2017-07-11 /pmc/articles/PMC5525080/ /pubmed/28781902 http://dx.doi.org/10.1155/2017/7323121 Text en Copyright © 2017 Anqin Wang et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wang, Anqin
Wu, Hongli
Xu, Chunsheng
Tang, Lanfeng
Lee, Jaeyoun
Wang, Min
Jiang, Man
Li, Chuanfu
Lu, Qi
Zhang, Chunyun
Study on Lesion Assessment of Cerebello-Thalamo-Cortical Network in Wilson's Disease with Diffusion Tensor Imaging
title Study on Lesion Assessment of Cerebello-Thalamo-Cortical Network in Wilson's Disease with Diffusion Tensor Imaging
title_full Study on Lesion Assessment of Cerebello-Thalamo-Cortical Network in Wilson's Disease with Diffusion Tensor Imaging
title_fullStr Study on Lesion Assessment of Cerebello-Thalamo-Cortical Network in Wilson's Disease with Diffusion Tensor Imaging
title_full_unstemmed Study on Lesion Assessment of Cerebello-Thalamo-Cortical Network in Wilson's Disease with Diffusion Tensor Imaging
title_short Study on Lesion Assessment of Cerebello-Thalamo-Cortical Network in Wilson's Disease with Diffusion Tensor Imaging
title_sort study on lesion assessment of cerebello-thalamo-cortical network in wilson's disease with diffusion tensor imaging
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5525080/
https://www.ncbi.nlm.nih.gov/pubmed/28781902
http://dx.doi.org/10.1155/2017/7323121
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