2018 Conference on Cognitive Computational Neuroscience

5-8 September 2018    Philadelphia, Pennsylvania

Technical Program

Paper Detail

Paper: PS-1A.46
Session: Poster Session 1A
Location: Symphony/Overture
Session Time: Thursday, September 6, 16:30 - 18:30
Presentation Time:Thursday, September 6, 16:30 - 18:30
Presentation: Poster
Publication: 2018 Conference on Cognitive Computational Neuroscience, 5-8 September 2018, Philadelphia, Pennsylvania
Paper Title: A Network Science Cartography of Cognitive Control System Dynamics
Manuscript:  Click here to view manuscript
DOI: https://doi.org/10.32470/CCN.2018.1177-0
Authors: Carrisa V Cocuzza, Julia Hamilton, Emily Winfield, Rutgers University, United States; Danielle S. Bassett, University of Pennsylvania, United States; Michael W Cole, Rutgers University, United States
Abstract: Functional connectivity studies have identified at least two large-scale neural systems that constitute cognitive control networks (CCNs) – the frontoparietal (FPN) and cingulo-opercular (CON) networks. CCNs are thought to support goal-directed cognition and behavior. We previously showed that FPN shifts global connectivity by task goal, consistent with a “flexible hub” mechanism for cognitive control. Our aim here is to develop a functional cartography of CCNs in terms of network mechanisms. We quantified mechanisms using a high-demand control paradigm involving switching among 64 systematically-related tasks. We hypothesized that cognitive control is enacted differently by the FPN and CON, and found dissociations in graph metric results across these networks. Consistent with a flexible hub mechanism, FPN connections were globally diverse, while tending to maintain their within-network connectivity across tasks. Consistent with a “stable hub” mechanism, CON connections were globally uniform (consistently connecting to the same networks), while tending to not maintain within-network connections. This pattern of results suggests FPN acts as a dynamic, global coordinator of goal-relevant information, while CON transiently disbands to dynamically lend resources to other goal-relevant networks. This cartography of network dynamics reveals a dissociation between two prominent cognitive control networks, suggesting parallel distinct mechanisms underlying goal-directed cognition.