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BCCT: A GUI Toolkit for Brain Structural Covariance Connectivity Analysis on MATLAB
Brain structural covariance network (SCN) can delineate the brain synchronized alterations in a long-range time period. It has been used in the research of cognition or neuropsychiatric disorders. Recently, causal analysis of structural covariance network (CaSCN), winner-take-all and cortex–subcorte...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093864/ https://www.ncbi.nlm.nih.gov/pubmed/33958993 http://dx.doi.org/10.3389/fnhum.2021.641961 |
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author | Xu, Qiang Zhang, Qirui Liu, Gaoping Dai, Xi-jian Xie, Xinyu Hao, Jingru Yu, Qianqian Liu, Ruoting Zhang, Zixuan Ye, Yulu Qi, Rongfeng Zhang, Long Jiang Zhang, Zhiqiang Lu, Guangming |
author_facet | Xu, Qiang Zhang, Qirui Liu, Gaoping Dai, Xi-jian Xie, Xinyu Hao, Jingru Yu, Qianqian Liu, Ruoting Zhang, Zixuan Ye, Yulu Qi, Rongfeng Zhang, Long Jiang Zhang, Zhiqiang Lu, Guangming |
author_sort | Xu, Qiang |
collection | PubMed |
description | Brain structural covariance network (SCN) can delineate the brain synchronized alterations in a long-range time period. It has been used in the research of cognition or neuropsychiatric disorders. Recently, causal analysis of structural covariance network (CaSCN), winner-take-all and cortex–subcortex covariance network (WTA-CSSCN), and modulation analysis of structural covariance network (MOD-SCN) have expended the technology breadth of SCN. However, the lack of user-friendly software limited the further application of SCN for the research. In this work, we developed the graphical user interface (GUI) toolkit of brain structural covariance connectivity based on MATLAB platform. The software contained the analysis of SCN, CaSCN, MOD-SCN, and WTA-CSSCN. Also, the group comparison and result-showing modules were included in the software. Furthermore, a simple showing of demo dataset was presented in the work. We hope that the toolkit could help the researchers, especially clinical researchers, to do the brain covariance connectivity analysis in further work more easily. |
format | Online Article Text |
id | pubmed-8093864 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80938642021-05-05 BCCT: A GUI Toolkit for Brain Structural Covariance Connectivity Analysis on MATLAB Xu, Qiang Zhang, Qirui Liu, Gaoping Dai, Xi-jian Xie, Xinyu Hao, Jingru Yu, Qianqian Liu, Ruoting Zhang, Zixuan Ye, Yulu Qi, Rongfeng Zhang, Long Jiang Zhang, Zhiqiang Lu, Guangming Front Hum Neurosci Neuroscience Brain structural covariance network (SCN) can delineate the brain synchronized alterations in a long-range time period. It has been used in the research of cognition or neuropsychiatric disorders. Recently, causal analysis of structural covariance network (CaSCN), winner-take-all and cortex–subcortex covariance network (WTA-CSSCN), and modulation analysis of structural covariance network (MOD-SCN) have expended the technology breadth of SCN. However, the lack of user-friendly software limited the further application of SCN for the research. In this work, we developed the graphical user interface (GUI) toolkit of brain structural covariance connectivity based on MATLAB platform. The software contained the analysis of SCN, CaSCN, MOD-SCN, and WTA-CSSCN. Also, the group comparison and result-showing modules were included in the software. Furthermore, a simple showing of demo dataset was presented in the work. We hope that the toolkit could help the researchers, especially clinical researchers, to do the brain covariance connectivity analysis in further work more easily. Frontiers Media S.A. 2021-04-20 /pmc/articles/PMC8093864/ /pubmed/33958993 http://dx.doi.org/10.3389/fnhum.2021.641961 Text en Copyright © 2021 Xu, Zhang, Liu, Dai, Xie, Hao, Yu, Liu, Zhang, Ye, Qi, Zhang, Zhang and Lu. 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 | Neuroscience Xu, Qiang Zhang, Qirui Liu, Gaoping Dai, Xi-jian Xie, Xinyu Hao, Jingru Yu, Qianqian Liu, Ruoting Zhang, Zixuan Ye, Yulu Qi, Rongfeng Zhang, Long Jiang Zhang, Zhiqiang Lu, Guangming BCCT: A GUI Toolkit for Brain Structural Covariance Connectivity Analysis on MATLAB |
title | BCCT: A GUI Toolkit for Brain Structural Covariance Connectivity Analysis on MATLAB |
title_full | BCCT: A GUI Toolkit for Brain Structural Covariance Connectivity Analysis on MATLAB |
title_fullStr | BCCT: A GUI Toolkit for Brain Structural Covariance Connectivity Analysis on MATLAB |
title_full_unstemmed | BCCT: A GUI Toolkit for Brain Structural Covariance Connectivity Analysis on MATLAB |
title_short | BCCT: A GUI Toolkit for Brain Structural Covariance Connectivity Analysis on MATLAB |
title_sort | bcct: a gui toolkit for brain structural covariance connectivity analysis on matlab |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093864/ https://www.ncbi.nlm.nih.gov/pubmed/33958993 http://dx.doi.org/10.3389/fnhum.2021.641961 |
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