User Friendly Functional Connectivity - UF²C
The graphical user interface makes the processing and analysis options accessible for neuroscientists, with reasonable choices of default settings. UF²C allows the user to study functional connectivity both through a quantitative view that provides detailed values of average connectivity and through a spatial view that provides statistical maps that can be directly used for further analyses. All results are carefully organized in a distinct folder for each subject, and a common folder is generated with a log file reporting the quantitative results of all the analyzed subjects.
Several UF²C modalities and tools runs combined with Statistical Parametric Mapping functions.
Coordinator and developer
Brunno M. de Campos, Ph.D.
Raphael Fernandes Casseb, Ph.D.
Supported Data Format:
EEG-fMRI, Functional Connectivity, Tools