Abstract
Cognitive control of emotions depends on intermodular long-distance communications. However, negative connections between connector hubs are removed by traditional hard-thresholding approach in graph-theoretical research. Using soft-thresholding approach to reserve negative links, we explore time-varying features of connector hubs in intermodular communications during cognitive control of affective pictures. We develop a novel approach to sparse functional networks and construct negatively linking connector networks for positive, negative, and neutral pictures. We find that consisting of flexible hubs, the frontoparietal system dynamically top–down inhibits neural activities through negative connections from the salience subnetwork and visual processing area. Moreover, the shared connectors form functional backbones that dynamically reconfigure according to differently-valenced pictures in order to coordinate both stability and flexibility of cognitive connector networks. These results reveal the necessity of conserving negative links between intermodular communications in chronnectome research and deepen the understanding of how connector networks dynamically evolute during cognitive control of affective processing.
Highlights
The ability to cognitive control of emotions is critical to behavioral flexibility and well-being (Ochsner et al, 2012; Marek et al, 2015)
Using soft-thresholding approach to reserve negative links, we explore time-varying features of connector hubs in intermodular communications during cognitive control of affective pictures
The shared connectors form functional backbones that dynamically reconfigure according to differently-valenced pictures in order to coordinate both stability and flexibility of cognitive connector networks. These results reveal the necessity of conserving negative links between intermodular communications in chronnectome research and deepen the understanding of how connector networks dynamically evolute during cognitive control of affective processing
Summary
The ability to cognitive control of emotions is critical to behavioral flexibility and well-being (Ochsner et al, 2012; Marek et al, 2015). Patterns of activation during cognitive control of emotions have been well-characterized, graph theory-based connectivity research has shown that the brain network composes of functionally separate subnetworks or modules (Buckner et al, 2009; Barret and Satpute, 2013; Sripada et al, 2014). With the emergence of chronnectome (Calhoun et al, 2014), little is known about how affective information is dynamically represented through distributed large-scale brain networks. Time-vary features of functional network (e.g., connector hubs) are import for understanding how functional network dynamically evolute during information communication (Sizemore and Bassett, 2018), which further deepens our understanding the nature of temporal dynamics of brain activity (Vidaurre et al, 2018)
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