RT Journal Article
SR Electronic
T1 Multivariate Pattern Connectivity
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 046151
DO 10.1101/046151
A1 Stefano Anzellotti
A1 Alfonso Caramazza
A1 Rebecca Saxe
YR 2016
UL http://biorxiv.org/content/early/2016/03/30/046151.abstract
AB Whenever we engage in a cognitive task, multiple brain regions are engaged. Understanding how these regions interact is a fundamental step to uncover the neural mechanisms that make behavior possible. The majority of the investigations of interactions between brain regions have focused on the overall univariate responses in the regions. However, in the context of ‘static’ analyses, drastic advantages have derived from the application of multivariate techniques considering the fine-grained spatial structure of responses within each region (multivariate pattern analysis - MVPA). In the present article, we introduce and apply a technique to study connectivity in terms of the relations between multivariate patterns of responses within brain regions: multivariate pattern connectivity (MVPC). Considering the fusiform face area (FFA) as a seed region, we show that MVPC provides novel information about the interactions between regions that goes beyond univariate functional connectivity analyses.