Competition between functional brain networks mediates behavioral variability

By A. Kelly, Lucina Q. Uddin, Bharat B. Biswal, F. X. Castellanos, Michael P. Milham. NeuroImage, 2008

1,292 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/e9297ff0909887c18b331d4cf4ad841d9dbc97f2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

Citations in the corpus

The Oscillating Brain: Complex and Reliable (2009, background): “Between-subject differences in RSFC measures also correlate strongly with individual traits and behavioral characteristics (Di Martino et al., 2009; Fox et al., 2007; Hampson et al., 2006; Hesselmann et al., 2008; Kelly et al., 2008).”
BOLD correlates of EEG alpha phase-locking and the fMRI default mode network (2009, background): “On the other hand, one might argue that an active default mode network, assembled through synchronized alpha-band activity defines a brain state of inward-oriented attention that may compete for resources with other RSNs (Kelly et al., 2008).”
The role of the posterior cingulate cortex in cognition and disease. (2014, background): “In contrast to the DMN/‘task-negative network’, this frontoparietal network has been termed a ‘task-positive network’, as a result of the activation of these regions in many experimental situations (Fox et al., 2005; Kelly et al., 2008).”
Resting state functional connectivity in addiction: Lessons learned and a road ahead (2012, background): “Critically, the strength of these networks “at rest” predicts both behavioral performance and subsequent activation of the same brain areas during task performance (e.g., Hampson et al., 2006; Kelly et al., 2008; Kim et al., 2009; Seeley et al., 2007; Tambini et al., 2010).”
Functional connectivity of default mode network components: correlation, anticorrelation, and causality (2008, methodology): “We were particularly interested in examining the networks negatively correlated with each individual seed, given our preliminary findings that the strength of the coupling between the DMN and its antinetwork is related to behavioral variability [Kelly et al., 2007].”
Inter-Individual Differences in Resting State Functional Connectivity Predict Task-Induced BOLD Activity (2010, methodology): “Results for the behavioral parameters obtained during the Flanker task are described in full elsewhere (Kelly et al., 2008).”
Echoes of the Brain within the Posterior Cingulate Cortex (2012, result): “…need to alter behavior (Pearson et al., 2011), which is in keeping with converging neuroimaging work in humans suggesting a role for this region in cognitive control (Shulman et al., 1997; Hampson et al., 2006; Gilbert et al., 2007; Kelly et al., 2008; Bonnelle et al., 2011; Leech et al., 2011).”
Graph-Based Network Analysis of Resting-State Functional MRI (2010, neutral): “…et al., 2009; Yan et al., 2009b), trait variability and behavioral characteristics (Hampson et al., 2006; Fox et al., 2007; Hesselmann et al., 2008; Kelly et al., 2008; Di Martino et al., 2009; Yan et al., 2009a), as well as various clinical populations (for reviews, see Greicius, 2008; Broyd et…”
Functional Connectivity of the Human Amygdala using Resting State fMRI (2008, methodology): “Subsets of these data have been used inprevious studies of functional connectivity (Castellanos et al., 2008; Di Martino et al., 2008; Kelly et al., 2008, in press; Margulies et al., 2007; Uddin et al., 2007, in press).”
Graph analysis of the human connectome: Promise, progress, and pitfalls (2013, neutral): “Accordingly, anticorrelated network dynamics have been shown to play an important role in behavior (De Pisapia et al., 2012; Kelly et al., 2008).”
Reliable Intrinsic Connectivity Networks: Test-Retest Evaluation Using ICA and Dual Regression Approach (2009, positive): “(2005) systematically demonstrated the anticorrelation between the “default mode” network and task-positive network, the anti-correlation has been suggested to reflect either a competitive mechanism or segregation of processing between functional systems (Fox et al., 2005; Kelly et al., 2008).”
Dynamic functional connectivity: Promise, issues, and interpretations (2013, result): “This study contributed further evidence that the network relationships previously implicated in task performance using static analysis also predicted performance on much shorter time scales (Kelly et al., 2008).”
Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition (2010, neutral): “These two networks have an intrinsic competitive relationship (Kelly et al., 2008) described as “anticorrelated” (Fox et al.”
The impact of global signal regression on resting state correlations: Are anti-correlated networks introduced? (2008, positive): “Using this connectivity analysis, previous studies have claimed that the brain is intrinsically organized into dynamic, anti-correlated networks (Fox et al., 2005; Fransson, 2005; Greicius et al., 2003; Kelly et al., 2008).”
The entropic brain: a theory of conscious states informed by neuroimaging research with psychedelic drugs (2014, background): “It is known however, that the strength of inverse coupling between activity in the DMN and TPNs is increased when task performance is more consistent (Kelly et al., 2008), implying increased focus and a relative decrease in off-task attentional lapses.”