Brain structural covariance network (SCN) can delineate the brain synchronized alterations in a long-range time period. It has been used in the researches of cognition or neuropsychiatric disorders. Recently, Causal analysis of structural covariance network (CaSCN), Winner-Take-All & 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 researches. 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 the toolkit could help the researchers, especial the clinical researchers, to do the brain covariance connectivity analysis in the further work more easily.

中文翻译：

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BCCT：用于在MATLAB上进行大脑结构协方差连通性分析的GUI工具包

脑结构协方差网络（SCN）可以描述长时间范围内的大脑同步变化。它已被用于认知或神经精神疾病的研究。最近，结构协方差网络（CaSCN），Winner-Take-All和Cortex-Subcortex协方差网络（WTA-CSSCN）的因果分析以及结构协方差网络（MOD-SCN）的调制分析已扩展了SCN的技术范围。然而，缺乏用户友好的软件限制了SCN在研究中的进一步应用。在这项工作中，我们开发了基于MATLAB平台的大脑结构协方差连通性的图形用户界面（GUI）工具包。该软件包含对SCN，CaSCN，MOD-SCN和WTA-CSSCN的分析。另外，软件中还包括了组比较和结果显示模块。此外，工作中还演示了演示数据集的简单显示。我们希望该工具包可以帮助研究人员（尤其是临床研究人员）更轻松地进行脑协方差连通性分析。