Abstract
Task-related changes in functional properties of the human brain network underlying attentional control
Highlights
A large body of studies in neuroscience have investigated taskrelated changes in activation of different brain regions to infer functional specialization
Studies started to demonstrate how the brain works as a functional network or a set of sub-networks using functional magnetic resonance imaging [8,9,10,11,12,13] and magnetoencephalogaphy (MEG) [14,15,16,17,18,19,20]
The clustering coefficient is a network measure of functional segregation primarily quantifying the presence of interconnected groups of brain regions, whereas betweenness centrality is a measure of centrality, which is considered to act as an important control of information flow [22]
Summary
A large body of studies in neuroscience have investigated taskrelated changes in activation of different brain regions to infer functional specialization. The clustering coefficient is a network measure of functional segregation primarily quantifying the presence of interconnected groups of brain regions, whereas betweenness centrality is a measure of centrality (global hub), which is considered to act as an important control of information flow [22]. Most of these studies using network measures examined functional properties of the brain network in a resting state, i.e., the default-mode network [14,15,19], yet task-related temporal changes in functional properties of the human brain network remain unclear
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