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Multiple Neural Networks Malfunction in Primary Blepharospasm: An Independent Components Analysis

Primary blepharospasm (BPS) is a focal dystonia characterized by involuntary blinking and eyelid spasms. The pathophysiology of BPS remains unclear. Several neuroimaging studies have suggested dysfunction of sensory processing and sensorimotor integration, but the results have been inconsistent. Thi...

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Autores principales: Huang, Xiao-Feng, Zhu, Meng-Ru, Shan, Ping, Pei, Chen-Hui, Liang, Zhan-Hua, Zhou, Hui-Ling, Ni, Ming-Fei, Miao, Yan-Wei, Xu, Guo-Qing, Zhang, Bing-Wei, Luo, Ya-Yin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5423973/
https://www.ncbi.nlm.nih.gov/pubmed/28539879
http://dx.doi.org/10.3389/fnhum.2017.00235
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author Huang, Xiao-Feng
Zhu, Meng-Ru
Shan, Ping
Pei, Chen-Hui
Liang, Zhan-Hua
Zhou, Hui-Ling
Ni, Ming-Fei
Miao, Yan-Wei
Xu, Guo-Qing
Zhang, Bing-Wei
Luo, Ya-Yin
author_facet Huang, Xiao-Feng
Zhu, Meng-Ru
Shan, Ping
Pei, Chen-Hui
Liang, Zhan-Hua
Zhou, Hui-Ling
Ni, Ming-Fei
Miao, Yan-Wei
Xu, Guo-Qing
Zhang, Bing-Wei
Luo, Ya-Yin
author_sort Huang, Xiao-Feng
collection PubMed
description Primary blepharospasm (BPS) is a focal dystonia characterized by involuntary blinking and eyelid spasms. The pathophysiology of BPS remains unclear. Several neuroimaging studies have suggested dysfunction of sensory processing and sensorimotor integration, but the results have been inconsistent. This study aimed to determine whether patients with BPS exhibit altered functional brain connectivity and to explore possible correlations between these networks and clinical variables. Twenty-five patients with BPS and 25 healthy controls were enrolled. We found that the patient group exhibited decreased connectivity within the sensory-motor network (SMN), which involved regions of the bilateral primary sensorimotor cortex, supplementary motor area (SMA), right premotor cortex, bilateral precuneus and left superior parietal cortex. Within the right fronto-parietal network, decreased connections were observed in the middle frontal gyrus, dorsal lateral prefrontal cortex and inferior frontal gyrus. Regarding the salience network (SN), increased connectivity was observed in the left superior frontal gyrus and middle frontal gyrus. These findings suggest the involvement of multiple neural networks in primary BPS.
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spelling pubmed-54239732017-05-24 Multiple Neural Networks Malfunction in Primary Blepharospasm: An Independent Components Analysis Huang, Xiao-Feng Zhu, Meng-Ru Shan, Ping Pei, Chen-Hui Liang, Zhan-Hua Zhou, Hui-Ling Ni, Ming-Fei Miao, Yan-Wei Xu, Guo-Qing Zhang, Bing-Wei Luo, Ya-Yin Front Hum Neurosci Neuroscience Primary blepharospasm (BPS) is a focal dystonia characterized by involuntary blinking and eyelid spasms. The pathophysiology of BPS remains unclear. Several neuroimaging studies have suggested dysfunction of sensory processing and sensorimotor integration, but the results have been inconsistent. This study aimed to determine whether patients with BPS exhibit altered functional brain connectivity and to explore possible correlations between these networks and clinical variables. Twenty-five patients with BPS and 25 healthy controls were enrolled. We found that the patient group exhibited decreased connectivity within the sensory-motor network (SMN), which involved regions of the bilateral primary sensorimotor cortex, supplementary motor area (SMA), right premotor cortex, bilateral precuneus and left superior parietal cortex. Within the right fronto-parietal network, decreased connections were observed in the middle frontal gyrus, dorsal lateral prefrontal cortex and inferior frontal gyrus. Regarding the salience network (SN), increased connectivity was observed in the left superior frontal gyrus and middle frontal gyrus. These findings suggest the involvement of multiple neural networks in primary BPS. Frontiers Media S.A. 2017-05-10 /pmc/articles/PMC5423973/ /pubmed/28539879 http://dx.doi.org/10.3389/fnhum.2017.00235 Text en Copyright © 2017 Huang, Zhu, Shan, Pei, Liang, Zhou, Ni, Miao, Xu, Zhang and Luo. http://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) or licensor 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 Neuroscience
Huang, Xiao-Feng
Zhu, Meng-Ru
Shan, Ping
Pei, Chen-Hui
Liang, Zhan-Hua
Zhou, Hui-Ling
Ni, Ming-Fei
Miao, Yan-Wei
Xu, Guo-Qing
Zhang, Bing-Wei
Luo, Ya-Yin
Multiple Neural Networks Malfunction in Primary Blepharospasm: An Independent Components Analysis
title Multiple Neural Networks Malfunction in Primary Blepharospasm: An Independent Components Analysis
title_full Multiple Neural Networks Malfunction in Primary Blepharospasm: An Independent Components Analysis
title_fullStr Multiple Neural Networks Malfunction in Primary Blepharospasm: An Independent Components Analysis
title_full_unstemmed Multiple Neural Networks Malfunction in Primary Blepharospasm: An Independent Components Analysis
title_short Multiple Neural Networks Malfunction in Primary Blepharospasm: An Independent Components Analysis
title_sort multiple neural networks malfunction in primary blepharospasm: an independent components analysis
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5423973/
https://www.ncbi.nlm.nih.gov/pubmed/28539879
http://dx.doi.org/10.3389/fnhum.2017.00235
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