Functional Connectivity (Cross-Correlation Method)

If you consider two vectors containing t values representing neural activity over t time points, the degree to which the values in these vectors move together, as indexed by the correlation between these vectors, can be taken as a measure of functional connectivity. The underlying assumption is that the activity in two regions should be related if there is some sort of underlying connection between them.

Assume you have already obtained time series matrices using the approaches described here