“…The multiple correspondence analysis (MCA) is introduced here, which is a data-driven method which can be used to identify non-linear interactions in categorical data. Although MCA has been successfully implemented in different disciplines including psychology and health sciences (Bouilland and Loslever, 1998; Guinot et al, 2002; Meyer et al, 2004; Ambrogi et al, 2005; Almeida et al, 2009; Rennie and Roberts, 2009; Pinti et al, 2010; Avolio et al, 2013; Costa et al, 2013; Sagawa et al, 2013; Ayele et al, 2014; Touso et al, 2014), it is seldom encountered in neuroimaging literature. This method was applied here to study the functional connectivity of BG, centers which have shown multiple non-linear interactions in both animal and human studies (Rodriguez et al, 2003a,b; Marceglia et al, 2006; Schroll and Hamker, 2013).…”