Negative edges and soft thresholding in complex network analysis of resting state functional connectivity data

[1]  Mark W. Woolrich,et al.  Network modelling methods for FMRI , 2011, NeuroImage.

[2]  S. Horvath,et al.  Detecting network modules in fMRI time series: A weighted network analysis approach , 2010, NeuroImage.

[3]  Olivier David,et al.  Dynamic Causal Modelling and physiological confounds: A functional MRI study of vagus nerve stimulation , 2010, NeuroImage.

[4]  Olaf Sporns,et al.  Complex network measures of brain connectivity: Uses and interpretations , 2010, NeuroImage.

[5]  Hang Joon Jo,et al.  Mapping sources of correlation in resting state FMRI, with artifact detection and removal , 2010, NeuroImage.

[6]  M. Schölvinck,et al.  Neural basis of global resting-state fMRI activity , 2010, Proceedings of the National Academy of Sciences.

[7]  R. Turner,et al.  Eigenvector Centrality Mapping for Analyzing Connectivity Patterns in fMRI Data of the Human Brain , 2010, PloS one.

[8]  Yong He,et al.  Age-related changes in topological patterns of large-scale brain functional networks during memory encoding and recognition , 2010, NeuroImage.

[9]  X. Shen,et al.  Graph-theory based parcellation of functional subunits in the brain from resting-state fMRI data , 2010, NeuroImage.

[10]  Paul J. Laurienti,et al.  Comparison of characteristics between region-and voxel-based network analyses in resting-state fMRI data , 2010, NeuroImage.

[11]  Catie Chang,et al.  Time–frequency dynamics of resting-state brain connectivity measured with fMRI , 2010, NeuroImage.

[12]  Xi-Nian Zuo,et al.  Reliable intrinsic connectivity networks: Test–retest evaluation using ICA and dual regression approach , 2010, NeuroImage.

[13]  Bharat B. Biswal,et al.  The oscillating brain: Complex and reliable , 2010, NeuroImage.

[14]  N P French,et al.  Small-world topology of UK racing: the potential for rapid spread of infectious agents. , 2010, Equine veterinary journal.

[15]  Toru Nakamura,et al.  Resting Network Plasticity Following Brain Injury , 2009, PloS one.

[16]  Mehdi Khamassi,et al.  Sequential Reinstatement of Neocortical Activity during Slow Oscillations Depends on Cells’ Global Activity , 2009, Front. Syst. Neurosci..

[17]  B. Biswal,et al.  The resting brain: unconstrained yet reliable. , 2009, Cerebral cortex.

[18]  R. Kahn,et al.  Functionally linked resting‐state networks reflect the underlying structural connectivity architecture of the human brain , 2009, Human brain mapping.

[19]  Catie Chang,et al.  Effects of model-based physiological noise correction on default mode network anti-correlations and correlations , 2009, NeuroImage.

[20]  Edward T. Bullmore,et al.  Reproducibility of graph metrics of human brain functional networks , 2009, NeuroImage.

[21]  Kuncheng Li,et al.  Changes of functional connectivity of the motor network in the resting state in Parkinson's disease , 2009, Neuroscience Letters.

[22]  Angelo Bifone,et al.  Community structure in networks of functional connectivity: Resolving functional organization in the rat brain with pharmacological MRI , 2009, NeuroImage.

[23]  S. Rombouts,et al.  Hierarchical functional modularity in the resting‐state human brain , 2009, Human brain mapping.

[24]  E. Bullmore,et al.  Hierarchical Modularity in Human Brain Functional Networks , 2009, Frontiers Neuroinformatics.

[25]  R. Kahn,et al.  Efficiency of Functional Brain Networks and Intellectual Performance , 2009, The Journal of Neuroscience.

[26]  J Martinerie,et al.  Complex modular structure of large-scale brain networks. , 2009, Chaos.

[27]  C. Kelly,et al.  L-Dopa Modulates Functional Connectivity in Striatal Cognitive and Motor Networks: A Double-Blind Placebo-Controlled Study , 2009, NeuroImage.

[28]  Liang Wang,et al.  Parcellation‐dependent small‐world brain functional networks: A resting‐state fMRI study , 2009, Human brain mapping.

[29]  Alan C. Evans,et al.  Uncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans , 2009, PloS one.

[30]  M. Fox,et al.  The global signal and observed anticorrelated resting state brain networks. , 2009, Journal of neurophysiology.

[31]  O. Sporns,et al.  Complex brain networks: graph theoretical analysis of structural and functional systems , 2009, Nature Reviews Neuroscience.

[32]  Keith A. Johnson,et al.  Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease , 2009, The Journal of Neuroscience.

[33]  Kevin Murphy,et al.  The impact of global signal regression on resting state correlations: Are anti-correlated networks introduced? , 2009, NeuroImage.

[34]  Edward T. Bullmore,et al.  Age-related changes in modular organization of human brain functional networks , 2009, NeuroImage.

[35]  J. Gabrieli,et al.  Hyperactivity and hyperconnectivity of the default network in schizophrenia and in first-degree relatives of persons with schizophrenia , 2009, Proceedings of the National Academy of Sciences.

[36]  Cornelis J. Stam,et al.  Small-world and scale-free organization of voxel-based resting-state functional connectivity in the human brain , 2008, NeuroImage.

[37]  E. Bullmore,et al.  Hierarchical Organization of Human Cortical Networks in Health and Schizophrenia , 2008, The Journal of Neuroscience.

[38]  M. Greicius Resting-state functional connectivity in neuropsychiatric disorders , 2008, Current opinion in neurology.

[39]  Yong He,et al.  Disrupted small-world networks in schizophrenia. , 2008, Brain : a journal of neurology.

[40]  D. Chialvo,et al.  Beyond Feeling: Chronic Pain Hurts the Brain, Disrupting the Default-Mode Network Dynamics , 2008, The Journal of Neuroscience.

[41]  Justin L. Vincent,et al.  Disruption of Large-Scale Brain Systems in Advanced Aging , 2007, Neuron.

[42]  H. Berendse,et al.  The application of graph theoretical analysis to complex networks in the brain , 2007, Clinical Neurophysiology.

[43]  Jeff H. Duyn,et al.  Low-frequency fluctuations in the cardiac rate as a source of variance in the resting-state fMRI BOLD signal , 2007, NeuroImage.

[44]  M. Fox,et al.  Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging , 2007, Nature Reviews Neuroscience.

[45]  M. Corbetta,et al.  Electrophysiological signatures of resting state networks in the human brain , 2007, Proceedings of the National Academy of Sciences.

[46]  Cornelis J Stam,et al.  Graph theoretical analysis of complex networks in the brain , 2007, Nonlinear biomedical physics.

[47]  E. Almaas Biological impacts and context of network theory , 2007, Journal of Experimental Biology.

[48]  Edward T. Bullmore,et al.  Efficiency and Cost of Economical Brain Functional Networks , 2007, PLoS Comput. Biol..

[49]  Benjamin J. Shannon,et al.  Coherent spontaneous activity identifies a hippocampal-parietal memory network. , 2006, Journal of neurophysiology.

[50]  Danielle Smith Bassett,et al.  Small-World Brain Networks , 2006, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

[51]  Danny Holten,et al.  Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data , 2006, IEEE Transactions on Visualization and Computer Graphics.

[52]  Peter A. Bandettini,et al.  Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI , 2006, NeuroImage.

[53]  James P Gleeson,et al.  Applications of small-world network theory in alcohol epidemiology. , 2006, Journal of studies on alcohol.

[54]  E. Bullmore,et al.  A Resilient, Low-Frequency, Small-World Human Brain Functional Network with Highly Connected Association Cortical Hubs , 2006, The Journal of Neuroscience.

[55]  E. Bullmore,et al.  Neurophysiological architecture of functional magnetic resonance images of human brain. , 2005, Cerebral cortex.

[56]  S. Horvath,et al.  Statistical Applications in Genetics and Molecular Biology , 2011 .

[57]  J. Hołyst,et al.  Statistical analysis of 22 public transport networks in Poland. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[58]  Stephen M. Smith,et al.  Investigations into resting-state connectivity using independent component analysis , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.

[59]  E. Bullmore,et al.  Undirected graphs of frequency-dependent functional connectivity in whole brain networks , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.

[60]  M. Greicius,et al.  Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI , 2004, Proc. Natl. Acad. Sci. USA.

[61]  G. Cecchi,et al.  Scale-free brain functional networks. , 2003, Physical review letters.

[62]  M Karplus,et al.  Small-world view of the amino acids that play a key role in protein folding. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[63]  K. Sneppen,et al.  Specificity and Stability in Topology of Protein Networks , 2002, Science.

[64]  N. Tzourio-Mazoyer,et al.  Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain , 2002, NeuroImage.

[65]  D. Fell,et al.  The small world inside large metabolic networks , 2000, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[66]  G H Glover,et al.  Image‐based method for retrospective correction of physiological motion effects in fMRI: RETROICOR , 2000, Magnetic resonance in medicine.

[67]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[68]  B. Biswal,et al.  Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.

[69]  J. Fleiss,et al.  Intraclass correlations: uses in assessing rater reliability. , 1979, Psychological bulletin.

[70]  Majid Mirmehdi,et al.  Visualising functional connectivity in fMRI using hierarchical edge bundles , 2011 .

[71]  K. McGraw,et al.  Forming inferences about some intraclass correlation coefficients. , 1996 .