UF2C — User-Friendly Functional Connectivity: A neuroimaging toolbox for fMRI processing and analyses
Brunno Machado de Campos, PhD,
Raphael Fernandes Casseb, PhD,
Fernando Cendes, MD, PhD
Affiliations
Brunno Machado de Campos, PhD
Neuroimaging Laboratory, University of Campinas, Brazil; Brazilian Institute of Neuroscience and Neurotechnology — BRAINN, Brazil; Correspondence to: Laboratório de Neuroimagem, Rua Vital Brasil, 251 Campinas/SP-Brasil, Cidade Universitária Zeferino Vaz, CEP-13083-888 Hospital de Clínicas, 2° andar, área da Ressonância Magnética, Brazil.
Raphael Fernandes Casseb, PhD
Brazilian Institute of Neuroscience and Neurotechnology — BRAINN, Brazil; Seaman Family MR Research Center, University of Calgary, Canada
Fernando Cendes, MD, PhD
Neuroimaging Laboratory, University of Campinas, Brazil; Brazilian Institute of Neuroscience and Neurotechnology — BRAINN, Brazil
The User-Friendly Functional Connectivity (UF2C) software provides researchers with a platform to analyze functional magnetic resonance neuroimages from the initial preprocessing steps to the generation of manuscript-quality figures. UF2C is implemented in Matlab language and falls within the FreeBSD license. Our toolbox builds on a combination of existing methods to increase the user’s power to perform different types of resting-state functional connectivity, event-related, and task activation analyses. To keep up with ongoing advances in this field, UF2C is regularly updated to reflect these advances and incorporate user demands.
