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Altered brain structural networks in attention deficit/hyperactivity disorder children revealed by cortical thickness

This study investigated the cortical thickness and topological features of human brain anatomical networks related to attention deficit/hyperactivity disorder. Data were collected from 40 attention deficit/hyperactivity disorder children and 40 normal control children. Interregional correlation matr...

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Detalles Bibliográficos
Autores principales: Liu, Tian, Chen, Yanni, Li, Chenxi, Li, Youjun, Wang, Jue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5546518/
https://www.ncbi.nlm.nih.gov/pubmed/28108742
http://dx.doi.org/10.18632/oncotarget.14734
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author Liu, Tian
Chen, Yanni
Li, Chenxi
Li, Youjun
Wang, Jue
author_facet Liu, Tian
Chen, Yanni
Li, Chenxi
Li, Youjun
Wang, Jue
author_sort Liu, Tian
collection PubMed
description This study investigated the cortical thickness and topological features of human brain anatomical networks related to attention deficit/hyperactivity disorder. Data were collected from 40 attention deficit/hyperactivity disorder children and 40 normal control children. Interregional correlation matrices were established by calculating the correlations of cortical thickness between all pairs of cortical regions (68 regions) of the whole brain. Further thresholds were applied to create binary matrices to construct a series of undirected and unweighted graphs, and global, local, and nodal efficiencies were computed as a function of the network cost. These experimental results revealed abnormal cortical thickness and correlations in attention deficit/hyperactivity disorder, and showed that the brain structural networks of attention deficit/hyperactivity disorder subjects had inefficient small-world topological features. Furthermore, their topological properties were altered abnormally. In particular, decreased global efficiency combined with increased local efficiency in attention deficit/hyperactivity disorder children led to a disorder-related shift of the network topological structure toward regular networks. In addition, nodal efficiency, cortical thickness, and correlation analyses revealed that several brain regions were altered in attention deficit/hyperactivity disorder patients. These findings are in accordance with a hypothesis of dysfunctional integration and segregation of the brain in patients with attention deficit/hyperactivity disorder and provide further evidence of brain dysfunction in attention deficit/hyperactivity disorder patients by observing cortical thickness on magnetic resonance imaging.
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spelling pubmed-55465182017-08-23 Altered brain structural networks in attention deficit/hyperactivity disorder children revealed by cortical thickness Liu, Tian Chen, Yanni Li, Chenxi Li, Youjun Wang, Jue Oncotarget Clinical Research Paper This study investigated the cortical thickness and topological features of human brain anatomical networks related to attention deficit/hyperactivity disorder. Data were collected from 40 attention deficit/hyperactivity disorder children and 40 normal control children. Interregional correlation matrices were established by calculating the correlations of cortical thickness between all pairs of cortical regions (68 regions) of the whole brain. Further thresholds were applied to create binary matrices to construct a series of undirected and unweighted graphs, and global, local, and nodal efficiencies were computed as a function of the network cost. These experimental results revealed abnormal cortical thickness and correlations in attention deficit/hyperactivity disorder, and showed that the brain structural networks of attention deficit/hyperactivity disorder subjects had inefficient small-world topological features. Furthermore, their topological properties were altered abnormally. In particular, decreased global efficiency combined with increased local efficiency in attention deficit/hyperactivity disorder children led to a disorder-related shift of the network topological structure toward regular networks. In addition, nodal efficiency, cortical thickness, and correlation analyses revealed that several brain regions were altered in attention deficit/hyperactivity disorder patients. These findings are in accordance with a hypothesis of dysfunctional integration and segregation of the brain in patients with attention deficit/hyperactivity disorder and provide further evidence of brain dysfunction in attention deficit/hyperactivity disorder patients by observing cortical thickness on magnetic resonance imaging. Impact Journals LLC 2017-01-18 /pmc/articles/PMC5546518/ /pubmed/28108742 http://dx.doi.org/10.18632/oncotarget.14734 Text en Copyright: © 2017 Liu et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (http://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Clinical Research Paper
Liu, Tian
Chen, Yanni
Li, Chenxi
Li, Youjun
Wang, Jue
Altered brain structural networks in attention deficit/hyperactivity disorder children revealed by cortical thickness
title Altered brain structural networks in attention deficit/hyperactivity disorder children revealed by cortical thickness
title_full Altered brain structural networks in attention deficit/hyperactivity disorder children revealed by cortical thickness
title_fullStr Altered brain structural networks in attention deficit/hyperactivity disorder children revealed by cortical thickness
title_full_unstemmed Altered brain structural networks in attention deficit/hyperactivity disorder children revealed by cortical thickness
title_short Altered brain structural networks in attention deficit/hyperactivity disorder children revealed by cortical thickness
title_sort altered brain structural networks in attention deficit/hyperactivity disorder children revealed by cortical thickness
topic Clinical Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5546518/
https://www.ncbi.nlm.nih.gov/pubmed/28108742
http://dx.doi.org/10.18632/oncotarget.14734
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