Neurophysiological architecture of functional magnetic resonance images of human brain.

By Raymond Salvador, John Suckling, M. Coleman, J. Pickard, D. Menon, E. Bullmore. Cerebral Cortex, 2005

1,373 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/b4bc236419099682174d3101791897aaf7fdc576

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In Cognitive Neuroscience

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

A Comprehensive Assessment of Regional Variation in the Impact of Head Micromovements on Functional Connectomics (2013, neutral): “…to exhibit highly similar head motion and may disproportionately and spuriously increase iFC between symmetric brain regions, and possibly contribute to the well-documented ubiquity of homotopic connectivity (Anderson et al., 2011; Salvador et al., 2005; Stark et al., 2008; Zuo et al., 2010c).”
Uncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans (2009, background): “Brain functional networks can also be constructed by using other connectivity measures such as the partial correlation [16,25], wavelet correlation [23,26] and mutual information [74].”
On the use of correlation as a measure of network connectivity (2012, background): “Partial correlation is a differentmeasure of functional (Salvador et al., 2005) and anatomical (Bassett et al.”
Small-world and scale-free organization of voxel-based resting-state functional connectivity in the human brain (2008, neutral): “…Biswal et al., 1995, 1997; Cordes et al., 2001; Damoiseaux et al., 2006; Fox et al., 2005; Greicius et al., 2003; Gusnard et al., 2001; Horwitz et al., 2005; Kiviniemi et al., 2003; Salvador et al., 2005b; Sun et al., 2004; Thirion et al., 2006; Van den Heuvel et al., 2008; Xiong et al., 1999).”
Graph theoretical analysis of complex networks in the brain (2007, methodology): “In the first study, fMRI was studied in 12 healthy subjects, and BOLD time series were taken from 90 regions of interest (ROI; 45 from each hemisphere); each of these ROIs corresponded to a specific anatomical region [107].”
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).”
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks (2019, background): “Salvador et al. [55] observed that the strength of connection between brain regions decays as an inverse square function of physical distance.”
Learning brain connectivity of Alzheimer’s disease by sparse inverse covariance estimation (2010, methodology): “To overcome this limitation, partial correlation analysis has been adopted (Salvador et al., 2005a,b; Marrelec et al., 2006, 2007; Hampson et al., 2002).”
Graph theoretical analysis of structural and functional connectivity MRI in normal and pathological brain networks (2010, methodology): “Both partition methods led to networks with small-world properties and truncated power-law degree distribution as demonstrated in other studies using atlas-based parcellation [32,58,59].”
Whole-brain anatomical networks: Does the choice of nodes matter? (2010, methodology): “…Achard and Bullmore, 2007 90 AAL Eguiluz et al., 2005 a 140,000 Voxel-based Van den Heuvel et al., 2008 10,000 Voxel-based Liu et al., 2008 90 AAL Salvador et al., 2005c 90 AAL Salvador et al., 200b 90 AAL Wang et al., 2009a 90 vs. 70 AAL vs. ANIMAL d-MRI Gong et al., 2009 78 AAL Hagmann et al.,…”
Persistent schema-dependent hippocampal-neocortical connectivity during memory encoding and postencoding rest in humans (2010, methodology): “For the fMRI data, we first calculated interregional partial correlations (31).”
Simple models of human brain functional networks (2012, background): “Likewise, in sparsely connected human brain functional networks, short distance connections predominate and are typically associated with greater strength of functional connectivity between regional nodes (16).”
Multi-level bootstrap analysis of stable clusters in resting-state fMRI (2009, methodology): “…RSNs by performing a clustering on a similarity matrix averaged across subjects has been proposed previously for various similarity measures : Salvador et al. (2005) used partial correlation, while van den Heuvel et al. (2008) considered directly the adjacency matrix of an individual…”
Efficiency and Cost of Economical Brain Functional Networks (2007, background): “It has been shown that brain anatomical and functional networks are topologically intermediate between highly regular lattices and random graphs [3,4].”