Small-world and scale-free organization of voxel-based resting-state functional connectivity in the human brain

By Martijn P. van den Heuvel, Cornelis J. Stam, Maria Boersma, H. H. Hulshoff Pol. NeuroImage, 2008

756 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/0940621b2887fe87f4738ec76888a351c1ae57f0

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In Cognitive Neuroscience

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Functional connectivity density mapping (2010, methodology): “However, this should not be interpreted as a strong limitation because previous studies have shown the free-scale topology of the brain, suggesting that its networks are highly clustered (14), and the restriction of the calculation enhances the regional specificity of the results.”
Comparison of Characteristics between Region- and Voxel-Based Network Analyses in Resting-State fMRI Data (2009, positive): “The lower bound R=0.4 was chosen to ensure that the adjacency matrix was sufficiently sparse for the network metric calculation for the voxel-based networks ( van den Heuvel, et al. 2008 ).”
Functional connectivity hubs in the human brain (2011, neutral): “The probability distribution of the gFCD demonstrated the power scaling of the scale-free networks (Barabasi and Albert, 1999), as reported by previous studies on functional connectivity (van den Heuvel et al., 2008) and by our own studies on lFCD-hubs (Tomasi and Volkow, 2010).”
Aberrant Frontal and Temporal Complex Network Structure in Schizophrenia: A Graph Theoretical Analysis (2010, methodology): “…have probed the organization of the brain network using “graph theory” (Sporns and Zwi, 2004; Achard et al., 2006; Hagmann et al., 2007; van den Heuvel et al., 2008a; Stam et al., 2009), a mathematical framework in which the brain is represented as a network of nodes, reflecting the…”
The Ubiquity of Small-World Networks (2011, methodology): “Whole-brain functional connectivity was evaluated using graph theory methods on a voxel-by-voxel basis(Eguíluz et al. 2005; Fox et al. 2005; van den Heuvel et al. 2008; Hayasaka and Laurienti 2010).”
Complex brain networks: graph theoretical analysis of structural and functional systems (2009, background): “Some studies of functional brain networks carried out at high spatial resolution (single voxels in fmRI) have provided evidence of scale-free organization 69,91 .”
Anatomically-constrained tractography: Improved diffusion MRI streamlines tractography through effective use of anatomical information (2012, background): “For instance, the thalamus is frequently considered to be a so-called ‘hub’ of the network of the brain (van den Heuvel et al., 2008), due to the extent of its structural and functional connectivity (Sherman and Guillery, 1996).”
Brain graphs: graphical models of the human brain connectome. (2011, background): “…from functional MRI (fMRI) (Achard & Bullmore 2007, Achard et al. 2006, Eguı́luz et al. 2005, Liu et al. 2008, Salvador et al. 2005a, van den Heuvel et al. 2008), electroencephalography (EEG) (Micheloyannis et al. 2006, Stam et al. 2007a), and magnetoencephalography (MEG) data (Bassett et…”
Comparing Brain Networks of Different Size and Connectivity Density Using Graph Theory (2010, background): “Analytic expressions are often only valid in the limit of large graph size but most empirical studies on brain networks use graphs with N , 200 (some exceptions include [10,12,16,78]).”
Functionally linked resting‐state networks reflect the underlying structural connectivity architecture of the human brain (2009, methodology): “Functional connections between multiple cortical brain regions were examined by computing the correlation between fMRI time-series measured during rest [Achard et al., 2006; Salvador et al., 2005b; Van den Heuvel et al., 2008b].”
Resting state fMRI: A review of methods and clinical applications (2012, positive): “44 Using these techniques, several studies have demonstrated that the brain exhibits a small world topology.”
Graph theoretical analysis of structural and functional connectivity MRI in normal and pathological brain networks (2010, background): “described an exponentially truncated power-law degree distribution [32,60,61].”
Graph-Based Network Analysis of Resting-State Functional MRI (2010, positive): “Focusing on the same features, van den Heuvel et al. (2008a) first examined the resting-state functional network of the human brain at voxel-level.”