Adaptive reconfiguration of fractal small-world human brain functional networks

By D. Bassett, Andreas Meyer-Lindenberg, Sophie Achard, Thomas Duke, E. Bullmore. Proceedings of the National Academy of Sciences of the United States of America, 2006

828 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/84560ddcae524c3cd13a87b184d83ed8cbb66ffb

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Citations in the corpus

Broadband Criticality of Human Brain Network Synchronization (2009, background): “The link between critical dynamics and small-world topology is also implicit in our results, given the strong prior evidence for small-world properties of human brain functional networks derived from fMRI and MEG data [12,42].”
Efficiency and Cost of Economical Brain Functional Networks (2007, background): “The cognitive implications of these socalled ‘‘resting state networks,’’ and their relationships to large-scale brain systems coherently oscillating at higher frequencies [44], remain to be elucidated.”
Exploring the brain network: a review on resting-state fMRI functional connectivity. (2010, result): “, 2006; Watts and Strogatz 1998), supporting the findings of MEG and EEG studies (Bassett et al., 2006; Micheloyannis et al., 2006a; Stam, 2004).”
Comparing Brain Networks of Different Size and Connectivity Density Using Graph Theory (2010, background): “To explicitly study their task-dependence, changes in graph measures have been studied when subjects performed foot movements [39] and finger tapping [19].”
Self-organized criticality as a fundamental property of neural systems (2014, background): “Correlations can also be used to construct functional connectivity maps, whose power-law distributed properties might relate to self-organized criticality (e.g., Eguiluz et al., 2005; Bassett et al., 2006; Expert et al., 2010; Lee et al., 2010; Van De Ville et al., 2010).”
Cognitive Network Neuroscience (2015, background): “However, the spatial layout of func- tional wiring and other local properties of functional connectivity can simultaneously be drastically altered, representing local reconfigurations to meet task demands (Bassett et al., 2006).”
Brain graphs: graphical models of the human brain connectome. (2011, background): “…& 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 al. 2006, Deuker et al. 2009, Stam 2004).”
Mapping the Structural Core of Human Cerebral Cortex (2008, background): “In human cortex, the topology of functional connectivity patterns has recently been investigated [8–11], and key attributes of these patterns have been characterized across different conditions of rest or cognitive load.”
Functional and Effective Connectivity: A Review (2011, positive): “The emerging picture is that endogenous ﬂuctuations are a consequence of dynamics on anatomical connectivity structures with particular scale-invariant and small-world characteristics (Achard et al., 2006; Bassett et al., 2006; Deco et al., 2009; Honey et al., 2007).”
A Small World of Neuronal Synchrony (2008, background): “…al. 2007), others on functional analyses of electroencephalographic (EEG) and magnetoencephalographic or fMRI signals, reflecting the activity of large populations of neurons (Stam 2004; Achard et al. 2006; Bassett et al. 2006; Micheloyannis et al. 2006; Achard and Bullmore 2007; Stam et al. 2007).”
Studying the human brain anatomical network via diffusion-weighted MRI and Graph Theory (2008, neutral): “Functional human brain networks derived from functional Magnetic Resonance Imaging (fMRI), Electroencephalogram (EEG) and Magnetoencephalographic (MEG) data also exhibit small-world properties (Stam, 2004; Eguiluz et al., 2005; Salvador et al., 2005; Achard et al., 2006; Bassett et al., 2006).”
Frequency-dependent functional connectivity within resting-state networks: An atlas-based MEG beamformer solution (2012, neutral): “by interacting sources of oscillatory activity (Bassett et al., 2006; Hyvarinen et al., 2010; Langheim et al., 2006; Liu et al., 2010).”
Cognitive fitness of cost-efficient brain functional networks (2009, methodology): “Frequency band-specific functional networks were derived from the MEG data by thresholding the mutual information—a statistical measure of linear and nonlinear association—between wavelet coefficients for each pair of sensors to construct undirected graphs or whole-brain functional networks at each ”
Comparison of Characteristics between Region- and Voxel-Based Network Analyses in Resting-State fMRI Data (2009, positive): “…as functional MRI (fMRI) and magnetoencephalography (MEG) have been used to evaluate the properties of functional networks (Achard, et al. 2006; Bassett, et al. 2006; Buckner, et al. 2009; Cecchi, et al. 2007; Eguiluz, et al. 2005; Reijneveld, et al. 2007; Stam 2004; Supekar, et al. 2008; van…”