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Altered Structural Brain Network Topology in Patients With Primary Craniocervical Dystonia

PURPOSE: Regional cortical thickness or volume analyses based upon structural MRI scans have been employed to study the pathophysiology of primary craniocervical dystonia (CCD). In the present study, brain connectivity network analyses based upon morphological distribution similarities among differe...

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Autores principales: Wang, Xiu, Hu, Wenhan, Wang, Huimin, Gao, Dongmei, Liu, Yuye, Zhang, Xin, Jiang, Yin, Mo, Jiajie, Meng, Fangang, Zhang, Kai, Zhang, Jian-guo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005792/
https://www.ncbi.nlm.nih.gov/pubmed/35432176
http://dx.doi.org/10.3389/fneur.2022.763305
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author Wang, Xiu
Hu, Wenhan
Wang, Huimin
Gao, Dongmei
Liu, Yuye
Zhang, Xin
Jiang, Yin
Mo, Jiajie
Meng, Fangang
Zhang, Kai
Zhang, Jian-guo
author_facet Wang, Xiu
Hu, Wenhan
Wang, Huimin
Gao, Dongmei
Liu, Yuye
Zhang, Xin
Jiang, Yin
Mo, Jiajie
Meng, Fangang
Zhang, Kai
Zhang, Jian-guo
author_sort Wang, Xiu
collection PubMed
description PURPOSE: Regional cortical thickness or volume analyses based upon structural MRI scans have been employed to study the pathophysiology of primary craniocervical dystonia (CCD). In the present study, brain connectivity network analyses based upon morphological distribution similarities among different brain areas were used to study the network disruption in individuals affected by CCD. METHODS: The T1 MRI scans were completed for 37 patients with CCD and 30 healthy controls, with individual brain structural networks being constructed based upon gray matter (GM) similarities in 90 regions within the brain. Area under the curve (AUC) values for each network parameter were determined, and the GRETNA program was used to conduct a graph theory-based measurement of nodal and global network properties. These properties were then compared between healthy controls and those with CCD. In addition, relationships between nodal properties and the severity of clinical dystonia were assessed through Spearman's correlation analyses. RESULTS: Relative to individuals in the control group, patients with CCD exhibited decreased local nodal properties in the right globus pallidus, right middle frontal gyrus, and right superior temporal pole. The degree of centrality as well as the node efficiency of the right globus pallidus were found to be significantly correlated with ocular dystonic symptom. The node efficiency of right middle frontal gyrus was significantly related to the total motor severity. No nodal properties were significantly correlated with oral dystonic motor scores. Among CCD patients, the right hemisphere exhibited more widespread decreases in connectivity associated with the motor related brain areas, associative cortex, and limbic system, particularly in the middle frontal gyrus, globus pallidus, and cingulate gyrus. CONCLUSIONS: The assessment of morphological correlations between different areas in the brain may represent a sensitive approach for detecting alterations in brain structures and to understand the mechanistic basis for CCD at the network level. Based on the nodal properties identified in this study, the right middle frontal gyrus and globus pallidus were the most severely affected in patients with CCD. The widespread alterations in morphological connectivity, such as the cortico-cortical and cortico-subcortical networks, further support the network mechanism as a basis for CCD.
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spelling pubmed-90057922022-04-14 Altered Structural Brain Network Topology in Patients With Primary Craniocervical Dystonia Wang, Xiu Hu, Wenhan Wang, Huimin Gao, Dongmei Liu, Yuye Zhang, Xin Jiang, Yin Mo, Jiajie Meng, Fangang Zhang, Kai Zhang, Jian-guo Front Neurol Neurology PURPOSE: Regional cortical thickness or volume analyses based upon structural MRI scans have been employed to study the pathophysiology of primary craniocervical dystonia (CCD). In the present study, brain connectivity network analyses based upon morphological distribution similarities among different brain areas were used to study the network disruption in individuals affected by CCD. METHODS: The T1 MRI scans were completed for 37 patients with CCD and 30 healthy controls, with individual brain structural networks being constructed based upon gray matter (GM) similarities in 90 regions within the brain. Area under the curve (AUC) values for each network parameter were determined, and the GRETNA program was used to conduct a graph theory-based measurement of nodal and global network properties. These properties were then compared between healthy controls and those with CCD. In addition, relationships between nodal properties and the severity of clinical dystonia were assessed through Spearman's correlation analyses. RESULTS: Relative to individuals in the control group, patients with CCD exhibited decreased local nodal properties in the right globus pallidus, right middle frontal gyrus, and right superior temporal pole. The degree of centrality as well as the node efficiency of the right globus pallidus were found to be significantly correlated with ocular dystonic symptom. The node efficiency of right middle frontal gyrus was significantly related to the total motor severity. No nodal properties were significantly correlated with oral dystonic motor scores. Among CCD patients, the right hemisphere exhibited more widespread decreases in connectivity associated with the motor related brain areas, associative cortex, and limbic system, particularly in the middle frontal gyrus, globus pallidus, and cingulate gyrus. CONCLUSIONS: The assessment of morphological correlations between different areas in the brain may represent a sensitive approach for detecting alterations in brain structures and to understand the mechanistic basis for CCD at the network level. Based on the nodal properties identified in this study, the right middle frontal gyrus and globus pallidus were the most severely affected in patients with CCD. The widespread alterations in morphological connectivity, such as the cortico-cortical and cortico-subcortical networks, further support the network mechanism as a basis for CCD. Frontiers Media S.A. 2022-03-30 /pmc/articles/PMC9005792/ /pubmed/35432176 http://dx.doi.org/10.3389/fneur.2022.763305 Text en Copyright © 2022 Wang, Hu, Wang, Gao, Liu, Zhang, Jiang, Mo, Meng, Zhang and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Wang, Xiu
Hu, Wenhan
Wang, Huimin
Gao, Dongmei
Liu, Yuye
Zhang, Xin
Jiang, Yin
Mo, Jiajie
Meng, Fangang
Zhang, Kai
Zhang, Jian-guo
Altered Structural Brain Network Topology in Patients With Primary Craniocervical Dystonia
title Altered Structural Brain Network Topology in Patients With Primary Craniocervical Dystonia
title_full Altered Structural Brain Network Topology in Patients With Primary Craniocervical Dystonia
title_fullStr Altered Structural Brain Network Topology in Patients With Primary Craniocervical Dystonia
title_full_unstemmed Altered Structural Brain Network Topology in Patients With Primary Craniocervical Dystonia
title_short Altered Structural Brain Network Topology in Patients With Primary Craniocervical Dystonia
title_sort altered structural brain network topology in patients with primary craniocervical dystonia
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005792/
https://www.ncbi.nlm.nih.gov/pubmed/35432176
http://dx.doi.org/10.3389/fneur.2022.763305
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