RT Journal Article
SR Electronic
T1 Heterogeneity Within the Frontoparietal Control Network and its Relationship to the Default and Dorsal Attention Networks
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 178863
DO 10.1101/178863
A1 Matthew L Dixon
A1 Alejandro De La Vega
A1 Caitlin Mills
A1 Jessica Andrews-Hanna
A1 R. Nathan Spreng
A1 Michael W. Cole
A1 Kalina Christoff
YR 2017
UL http://biorxiv.org/content/early/2017/08/21/178863.1.abstract
AB The frontoparietal control network (FPCN) plays a central role in executive control. It has been predominantly viewed as a unitary domain general system. Here, we examined patterns of FPCN functional connectivity (FC) across multiple conditions of varying cognitive demands, in order to test for FPCN heterogeneity. We identified two distinct subsystems within the FPCN based on hierarchical clustering and machine learning classification analyses of within-FPCN FC patterns. These two FPCN subsystems exhibited distinct patterns of FC the default network (DN) and the dorsal attentional network (DAN). This 2-fold FPCN differentiation was observed across four independent data sets, across 9 different conditions (rest and 8 tasks), as well as in meta-analytic co-activation patterns. The extent of FPCN differentiation varied across conditions, suggesting flexible adaptation to task demands. These findings reveal a flexible and heterogeneous FPCN organization that may in part emerge from separable DN and DAN processing streams.