PMC:2940450 / 24205-25221 JSONTXT

{"project":"0_colil","denotations":[{"id":"20859524-15729348-131744","span":{"begin":283,"end":287},"obj":"15729348"},{"id":"20859524-17940613-131745","span":{"begin":388,"end":392},"obj":"17940613"},{"id":"20859524-17940613-131746","span":{"begin":829,"end":833},"obj":"17940613"}],"text":"The interaction between cognitive and motivation networks appears to take place via several modes of communication (Figure 3D). For instance, a specific brain region may function as a hub linking the two types of network. Recent advances in network theory (Guimera and Nunes Amaral, 2005) have shown that regions characterized by a high degree of connectivity, i.e., hubs (Sporns et al., 2007), are critical in regulating the flow and integration of information between regions. However, whereas the number of connections of a region is important in determining whether it will function as a hub, the structural topology of the region is also relevant. For instance, some regions are best characterized as “provincial” hubs (they occupy a central position within a single functional cluster; e.g., visual area V4, Sporns et al., 2007), whereas others act as “connector” hubs (they link separate region clusters). Hubs connecting cognitive and motivation networks would comprise examples of the latter type of region."}

{"project":"TEST0","denotations":[{"id":"20859524-61-69-131744","span":{"begin":283,"end":287},"obj":"[\"15729348\"]"},{"id":"20859524-166-174-131745","span":{"begin":388,"end":392},"obj":"[\"17940613\"]"},{"id":"20859524-176-184-131746","span":{"begin":829,"end":833},"obj":"[\"17940613\"]"}],"text":"The interaction between cognitive and motivation networks appears to take place via several modes of communication (Figure 3D). For instance, a specific brain region may function as a hub linking the two types of network. Recent advances in network theory (Guimera and Nunes Amaral, 2005) have shown that regions characterized by a high degree of connectivity, i.e., hubs (Sporns et al., 2007), are critical in regulating the flow and integration of information between regions. However, whereas the number of connections of a region is important in determining whether it will function as a hub, the structural topology of the region is also relevant. For instance, some regions are best characterized as “provincial” hubs (they occupy a central position within a single functional cluster; e.g., visual area V4, Sporns et al., 2007), whereas others act as “connector” hubs (they link separate region clusters). Hubs connecting cognitive and motivation networks would comprise examples of the latter type of region."}

{"project":"2_test","denotations":[{"id":"20859524-15729348-38088825","span":{"begin":283,"end":287},"obj":"15729348"},{"id":"20859524-17940613-38088826","span":{"begin":388,"end":392},"obj":"17940613"},{"id":"20859524-17940613-38088827","span":{"begin":829,"end":833},"obj":"17940613"}],"text":"The interaction between cognitive and motivation networks appears to take place via several modes of communication (Figure 3D). For instance, a specific brain region may function as a hub linking the two types of network. Recent advances in network theory (Guimera and Nunes Amaral, 2005) have shown that regions characterized by a high degree of connectivity, i.e., hubs (Sporns et al., 2007), are critical in regulating the flow and integration of information between regions. However, whereas the number of connections of a region is important in determining whether it will function as a hub, the structural topology of the region is also relevant. For instance, some regions are best characterized as “provincial” hubs (they occupy a central position within a single functional cluster; e.g., visual area V4, Sporns et al., 2007), whereas others act as “connector” hubs (they link separate region clusters). Hubs connecting cognitive and motivation networks would comprise examples of the latter type of region."}