Dynamic Brain Connectome Analysis Toolbox

Dynamic brain connectome (DynamicBC) analysis toolbox is a Matlab toolbox to calculate Dynamic Functional Connectivity (d-FC) and Dynamic Effective Connectivity (d-EC). Sliding window analysis (Bivariate Pearson correlation and Granger causality) and time varying parameter regression method (Flexible Least Squares) are two dynamic analysis strategies for time-variant connectivity analysis in the DynamicBC. Granger causality density/strength (GCD/GCS) and functional connectivity density/strength (FCD/FCS) analysis would be performed in this toolbox.

Download DynamicBC

Click here (download from GitHub) or (http://restfmri.net/DynamicBC) to download the latest DynamicBC version (DynamicBC2.2_20181112).

To install DynamicBC

Unzip the DynamicBC zip file in the folder of your choice
Start Matlab, Change the Matlab path to the DynamicBC folder you have just uncompressed, Type:

DynamicBC

and press enter on the Matlab prompt

Manual

The PDF Manual (DynamicBC 1.1) can be downloaded here (http://restfmri.net/DynamicBC).

DynamicBC assumed you organized the data in following way:

Here are some screenshots:

Forum

If you have any question on DynamicBC, please visit DynamicBC forum and make a post.

Citation

Wei Liao,^#* Guo-Rong Wu,^#* Qiang Xu,^* Gong-Jun Ji, Zhiqiang Zhang, Yu-Feng Zang, and Guangming Lu (2014). DynamicBC: a matlab toolbox for dynamic brain connectome analysis. Brain Connectivity, 4(10), 780-90. PDF (^# corresponding author，^*contributed equally to this work)