Efficiency of Functional Brain Networks and Intellectual Performance

By Martijn P. van den Heuvel, Cornelis J. Stam, René S. Kahn, H. H. Hulshoff Pol. Journal of Neuroscience, 2009

1,079 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/8fe694c4082b99345f48bed7937aaa85feeb5145

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Citations in the corpus

The Segregation and Integration of Distinct Brain Networks and Their Relationship to Cognition (2016, background): “Whole-brain intrinsic functional connectivity patterns as measured during a resting state have been associated with general intelligence (van den Heuvel et al., 2009; Santarnecchi et al., 2014), working memory capacity (Stevens et al., 2012; Alavash et al., 2015), and other cognitive abilities (for…”
The hubs of the human connectome are generally implicated in the anatomy of brain disorders (2014, background): “…of functional brain networks (derived from resting-state functional MRI data) is positively correlated with better cognitive performance (van den Heuvel et al., 2009; Giessing et al., 2013); and that cognitively more demanding tasks lead to the appearance of long-range integrative connections…”
A distributed brain network predicts general intelligence from resting-state human neuroimaging data (2018, result): “While this may generally be correct, foundational studies had very low sample sizes [56], and so did a recent study making a similar claim using graph analysis in N=19 subjects [57].”
Dynamic functional connectivity: Promise, issues, and interpretations (2013, background): “…be expected given its reported correlation with a variety of individual measures (IQ, personality, etc.; Adelstein et al., 2011; Song et al., 2008; van den Heuvel et al., 2009; Wei et al., 2011), within-subject FC has also been shown to vary considerably, even between different scans within the…”
The UCLA multimodal connectivity database: a web-based platform for brain connectivity matrix sharing and analysis (2012, background): “…they contain suf-ﬁcient information to capture individual characteristics such as age (Dosenbach et al., 2010), gender (Yan et al., 2011), intelligence quotient (IQ) (Li et al., 2009; van den Heuvel et al., 2009b), and disease state (Supekar et al., 2008; Craddock et al., 2009; Lo et al., 2010).”
Comparing Brain Networks of Different Size and Connectivity Density Using Graph Theory (2010, background): “…(2) one selects just an arbitrary value as threshold, with which one roughly obtains a certain desired average degree of the network (e.g., [12,32,36]); or, (3) one defines the threshold as large as possible while guaranteeing that all nodes are connected or a so-called giant component…”
The Human Connectome Project: A data acquisition perspective (2012, background): “For example, some studies have emphasized a correlation with global measures of connectivity (Chiang et al., 2009; van den Heuvel et al., 2009).”
Identification of reproducible individualized targets for treatment of depression with TMS based on intrinsic connectivity (2012, unknown): “…intrinsic connectivity are behaviorally relevant (Baldassarre et al., 2012; Hampson et al., 2006; Koyama et al., 2011; Seeley et al., 2007; van den Heuvel et al., 2009; Zhu et al., 2011) and to some extent reproducible across scanning sessions (Braun et al., 2012; Cohen et al., 2008; Mannfolk et…”
Exploring the brain network: a review on resting-state fMRI functional connectivity. (2010, background): “…techniques to resting-state fMRI data (Achard and Bullmore, 2007; Achard et al., 2006; Eguiluz et al., 2005; Liu et al., 2008; Salvador et al., 2005b; Van den Heuvel et al., 2008c; van den Heuvel et al., 2009), revealing new insights about the general organization of functional brain networks.”
Network-based statistic: Identifying differences in brain networks (2010, background): “…(Wang et al., 2009), multiple sclerosis (He et al., 2009) and schizophrenia (Bassett et al., 2008, 2009; Liu et al., 2008; Rubinov et al., 2009) as well as associations with age and gender (Gong et al., 2009; Wang et al., 2010), and intelligence (van den Heuvel et al., 2009; Li et al., 2009).”
Efficient hubs in the intelligent brain: Nodal efficiency of hub regions in the salience network is associated with general intelligence (2017, methodology): “…differences in the efficiency of functional networks were studied with functional magnetic resonance imaging (fMRI; e.g., van den Heuvel et al., 2009; Song et al., 2009; Santarnecchi, Galli, Polizzotto, Rossi, & Rossi, 2014; Santarnecchi et al., 2015; Pamplona, Santos Neto,…”
High-cost, high-capacity backbone for global brain communication (2012, background): “Our findings support the idea that neural architecture is organized to achieve a high level of global information integration along short communication paths (14, 15), while at the same time conserving material resources such as metabolic energy and wiring volume (22–25).”
Brain graphs: graphical models of the human brain connectome. (2011, background): “For example, three recent studies—using fMRI (van den Heuvel et al. 2009), MEG (Bassett et al. 2009), and DTI (Li et al. 2009)—have independently reported associations between general intelligence or executive task performance and topological measures of brain network efficiency or cost-efficiency.”