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Abnormal topological organization in white matter structural networks in survivors of acute lymphoblastic leukaemia with chemotherapy treatment

Previous diffusion tensor imaging (DTI) studies have detected white matter (WM) integrity abnormalities in some specific fibre bundles in acute lymphoblastic leukaemia (ALL) patients with chemotherapy. However, little is known about the changes in the topological organization of the WM structural ne...

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Autores principales: Zou, Liwei, Su, Lianzi, Qi, Rongmiao, Bao, Fang, Fang, Xianjing, Wang, Longsheng, Zhai, Zhimin, Li, Dan, Zheng, Suisheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5601162/
https://www.ncbi.nlm.nih.gov/pubmed/28947994
http://dx.doi.org/10.18632/oncotarget.19104
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author Zou, Liwei
Su, Lianzi
Qi, Rongmiao
Bao, Fang
Fang, Xianjing
Wang, Longsheng
Zhai, Zhimin
Li, Dan
Zheng, Suisheng
author_facet Zou, Liwei
Su, Lianzi
Qi, Rongmiao
Bao, Fang
Fang, Xianjing
Wang, Longsheng
Zhai, Zhimin
Li, Dan
Zheng, Suisheng
author_sort Zou, Liwei
collection PubMed
description Previous diffusion tensor imaging (DTI) studies have detected white matter (WM) integrity abnormalities in some specific fibre bundles in acute lymphoblastic leukaemia (ALL) patients with chemotherapy. However, little is known about the changes in the topological organization of the WM structural network in ALL patients with chemotherapy. In the present study, we acquired DTI datasets from 28 ALL patients (mean age: 40.71 ± 8.58 years, years since diagnosis: 7–38) with chemotherapy and 20 matched healthy controls (mean age: 42.95 ± 6.39 years) and performed WM network analysis using a deterministic fibre-tracking approach. Graph theoretical analysis was used to compare the topological parameters of the WM networks between the two groups. Both ALL patients with chemotherapy and healthy controls had small-worldness in their WM networks. ALL patients showed significantly reduced global network efficiency, as indicated by the abnormally decreased clustering coefficient Cp and the normalized clustering coefficient γ and increased shortest path length Lp compared with healthy controls. Moreover, hubs were located more in parietal regions of healthy controls and in temporal regions in the ALL patients. We revealed the abnormal topological organization of the WM networks of ALL patients with chemotherapy, which may improve our understanding of the neural mechanism of chemotherapy in ALL from a WM topological organization level.
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spelling pubmed-56011622017-09-25 Abnormal topological organization in white matter structural networks in survivors of acute lymphoblastic leukaemia with chemotherapy treatment Zou, Liwei Su, Lianzi Qi, Rongmiao Bao, Fang Fang, Xianjing Wang, Longsheng Zhai, Zhimin Li, Dan Zheng, Suisheng Oncotarget Clinical Research Paper Previous diffusion tensor imaging (DTI) studies have detected white matter (WM) integrity abnormalities in some specific fibre bundles in acute lymphoblastic leukaemia (ALL) patients with chemotherapy. However, little is known about the changes in the topological organization of the WM structural network in ALL patients with chemotherapy. In the present study, we acquired DTI datasets from 28 ALL patients (mean age: 40.71 ± 8.58 years, years since diagnosis: 7–38) with chemotherapy and 20 matched healthy controls (mean age: 42.95 ± 6.39 years) and performed WM network analysis using a deterministic fibre-tracking approach. Graph theoretical analysis was used to compare the topological parameters of the WM networks between the two groups. Both ALL patients with chemotherapy and healthy controls had small-worldness in their WM networks. ALL patients showed significantly reduced global network efficiency, as indicated by the abnormally decreased clustering coefficient Cp and the normalized clustering coefficient γ and increased shortest path length Lp compared with healthy controls. Moreover, hubs were located more in parietal regions of healthy controls and in temporal regions in the ALL patients. We revealed the abnormal topological organization of the WM networks of ALL patients with chemotherapy, which may improve our understanding of the neural mechanism of chemotherapy in ALL from a WM topological organization level. Impact Journals LLC 2017-07-08 /pmc/articles/PMC5601162/ /pubmed/28947994 http://dx.doi.org/10.18632/oncotarget.19104 Text en Copyright: © 2017 Zou et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Clinical Research Paper
Zou, Liwei
Su, Lianzi
Qi, Rongmiao
Bao, Fang
Fang, Xianjing
Wang, Longsheng
Zhai, Zhimin
Li, Dan
Zheng, Suisheng
Abnormal topological organization in white matter structural networks in survivors of acute lymphoblastic leukaemia with chemotherapy treatment
title Abnormal topological organization in white matter structural networks in survivors of acute lymphoblastic leukaemia with chemotherapy treatment
title_full Abnormal topological organization in white matter structural networks in survivors of acute lymphoblastic leukaemia with chemotherapy treatment
title_fullStr Abnormal topological organization in white matter structural networks in survivors of acute lymphoblastic leukaemia with chemotherapy treatment
title_full_unstemmed Abnormal topological organization in white matter structural networks in survivors of acute lymphoblastic leukaemia with chemotherapy treatment
title_short Abnormal topological organization in white matter structural networks in survivors of acute lymphoblastic leukaemia with chemotherapy treatment
title_sort abnormal topological organization in white matter structural networks in survivors of acute lymphoblastic leukaemia with chemotherapy treatment
topic Clinical Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5601162/
https://www.ncbi.nlm.nih.gov/pubmed/28947994
http://dx.doi.org/10.18632/oncotarget.19104
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