Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging, Nature Reviews Neuroscience, vol.17, issue.9, pp.700-711, 2007. ,
DOI : 10.1016/j.neuroimage.2006.02.010
A default mode of brain function, Proceedings of the National Academy of Sciences, vol.9, issue.5, pp.676-82, 2001. ,
DOI : 10.1162/jocn.1997.9.5.648
URL : http://www.pnas.org/content/98/2/676.full.pdf
Functional connectivity in the motor cortex of resting human brain using echo-planar mri, Magnetic Resonance in Medicine, vol.13, issue.4, pp.537-541, 1995. ,
DOI : 10.1038/jcbfm.1993.4
Networks of the Brain: Quantitative Analysis and Modeling, Notes, 2010. ,
Simultaneous assessment of flow and BOLD signals in resting-state functional connectivity maps, NMR in Biomedicine, vol.17, issue.4-5, pp.165-170, 1997. ,
DOI : 10.1097/00004647-199703000-00007
Frequencies contributing to functional connectivity in the cerebral cortex in 'resting-state' data. Am, J. Neuroradiol, vol.22, pp.1326-1333, 2001. ,
Mapping functionally related regions of brain with functional connectivity MR imaging, Am. J. Neuroradiol, vol.21, pp.1636-1644, 2000. ,
Consistent resting-state networks across healthy subjects, Proc. Natl. Acad. Sci. USA 103, pp.13848-53, 2006. ,
DOI : 10.1109/TMI.2003.822821
URL : http://www.pnas.org/content/103/37/13848.full.pdf
Blood oxygenation level dependent contrast resting state networks are relevant to functional activity in the neocortical sensorimotor system, Experimental Brain Research, vol.106, issue.Pt 11, pp.587-594, 2005. ,
DOI : 10.1007/s00221-005-0059-1
Functional connectivity in the resting brain: A network analysis of the default mode hypothesis, Proc. Natl. Acad. Sci. USA, pp.253-261, 2003. ,
DOI : 10.1038/375121a0
Functional Connectivity in Single and Multislice Echoplanar Imaging Using Resting-State Fluctuations, NeuroImage, vol.7, issue.2, pp.119-132, 1998. ,
DOI : 10.1006/nimg.1997.0315
Interregional connectivity to primary motor cortex revealed using MRI resting state images, Human Brain Mapping, vol.3, issue.2-3, pp.151-156, 1999. ,
DOI : 10.1002/hbm.460030404
Normalized Cut Group Clustering of Resting-State fMRI Data, PLoS ONE, vol.18, issue.4, 2008. ,
DOI : 10.1371/journal.pone.0002001.s001
Electrophysiological signatures of resting state networks in the human brain, Proc. Natl. Acad. Sci. USA, pp.13170-13175, 2007. ,
DOI : 10.1109/72.761722
Measuring functional connectivity using MEG: Methodology and comparison with fcMRI, NeuroImage, vol.56, issue.3, pp.1082-1104, 2011. ,
DOI : 10.1016/j.neuroimage.2011.02.054
URL : https://doi.org/10.1016/j.neuroimage.2011.02.054
A Cortical Core for Dynamic Integration of Functional Networks in the Resting Human Brain, Neuron, vol.74, issue.4, pp.753-764, 2012. ,
DOI : 10.1016/j.neuron.2012.03.031
Large-scale spontaneous fluctuations and correlations in brain electrical activity observed with magnetoencephalography, NeuroImage, vol.51, issue.1, pp.102-111, 2010. ,
DOI : 10.1016/j.neuroimage.2010.01.092
URL : http://europepmc.org/articles/pmc2847019?pdf=render
Mapping Anatomical Connectivity Patterns of Human Cerebral Cortex Using In Vivo Diffusion Tensor Imaging Tractography, Cerebral Cortex, vol.252, issue.60, pp.524-536, 2009. ,
DOI : 10.1098/rspb.1993.0040
Studying the human brain anatomical network via diffusion-weighted MRI and Graph Theory, NeuroImage, vol.40, issue.3, pp.1064-1076, 2008. ,
DOI : 10.1016/j.neuroimage.2007.10.060
Genome-wide scan of healthy human connectome discovers SPON1 gene variant influencing dementia severity, Proc. Natl. Acad. Sci. USA, pp.4768-73, 2013. ,
DOI : 10.1016/j.neuroimage.2009.10.003
URL : http://www.pnas.org/content/110/12/4768.full.pdf
Mapping putative hubs in human, chimpanzee and rhesus macaque connectomes via diffusion tractography, NeuroImage, vol.80, pp.462-474, 2013. ,
DOI : 10.1016/j.neuroimage.2013.04.024
URL : http://europepmc.org/articles/pmc3720835?pdf=render
Topographic Hub Maps of the Human Structural Neocortical Network, PLoS ONE, vol.8, issue.6, 2013. ,
DOI : 10.1371/journal.pone.0065511.s004
URL : https://doi.org/10.1371/journal.pone.0065511
High-cost, high-capacity backbone for global brain communication, Proc. Natl. Acad. Sci. USA, pp.11372-77, 2012. ,
DOI : 10.1126/science.298.5594.824
An Anatomical Substrate for Integration among Functional Networks in Human Cortex, Journal of Neuroscience, vol.33, issue.36, pp.14489-500, 2013. ,
DOI : 10.1523/JNEUROSCI.2128-13.2013
Mapping Connectivity Damage in the Case of Phineas Gage, PLoS ONE, vol.3, issue.Pt 10, 2012. ,
DOI : 10.1371/journal.pone.0037454.s007
Whole-brain anatomical networks: Does the choice of nodes matter?, NeuroImage, vol.50, issue.3, pp.970-983, 2010. ,
DOI : 10.1016/j.neuroimage.2009.12.027
Mapping the Structural Core of Human Cerebral Cortex, PLoS Biology, vol.87, issue.7, pp.1479-1493, 2008. ,
DOI : 10.1371/journal.pbio.0060159.sd004
URL : https://doi.org/10.1371/journal.pbio.0060159
Dynamic reorganization of brain functional networks during cognition, NeuroImage, vol.114, pp.398-413, 2015. ,
DOI : 10.1016/j.neuroimage.2015.03.057
Association between Functional Connectivity Hubs and Brain Networks, Cerebral Cortex, vol.49, issue.9, pp.2003-2013, 2011. ,
DOI : 10.1016/j.neuroimage.2009.09.037
URL : https://academic.oup.com/cercor/article-pdf/21/9/2003/17304982/bhq268.pdf
Functional connectivity density mapping, Proc. Natl. Acad. Sci. USA, pp.9885-9890, 2010. ,
DOI : 10.1016/j.neuroimage.2007.07.037
URL : http://www.pnas.org/content/107/21/9885.full.pdf
Network Centrality in the Human Functional Connectome, Cerebral Cortex, vol.30, issue.8, pp.1862-1875, 2012. ,
DOI : 10.1523/JNEUROSCI.2612-10.2010
URL : https://academic.oup.com/cercor/article-pdf/22/8/1862/17306507/bhr269.pdf
Graph analysis of spontaneous brain network using EEG source connectivity. arXiv Prepr. arXiv1607, p.952, 2016. ,
Rich-Club Organization of the Human Connectome, Journal of Neuroscience, vol.31, issue.44, pp.15775-15786, 2011. ,
DOI : 10.1523/JNEUROSCI.3539-11.2011
Rich Club Organization and Intermodule Communication in the Cat Connectome, Journal of Neuroscience, vol.33, issue.32, pp.12929-12968, 2013. ,
DOI : 10.1523/JNEUROSCI.1448-13.2013
Structural and Functional Aspects Relating to Cost and Benefit of Rich Club Organization in the Human Cerebral Cortex, Cerebral Cortex, vol.22, issue.1, pp.2258-2267, 2013. ,
DOI : 10.1063/1.3089559
EEG correlates of time-varying BOLD functional connectivity, NeuroImage, vol.72, pp.227-236, 2013. ,
DOI : 10.1016/j.neuroimage.2013.01.049
URL : http://europepmc.org/articles/pmc3602157?pdf=render
Measuring temporal, spectral and spatial changes in electrophysiological brain network connectivity, NeuroImage, vol.91, pp.282-299, 2014. ,
DOI : 10.1016/j.neuroimage.2013.12.066
URL : http://eprints.nottingham.ac.uk/29304/1/Transient_sync_REVISED3.pdf
Dynamic functional connectivity: Promise, issues, and interpretations, NeuroImage, vol.80, pp.360-378, 2013. ,
DOI : 10.1016/j.neuroimage.2013.05.079
URL : http://europepmc.org/articles/pmc3807588?pdf=render
Tracking Whole-Brain Connectivity Dynamics in the Resting State, Cerebral Cortex, vol.22, issue.3, pp.663-676, 2014. ,
DOI : 10.1093/cercor/bhr269
URL : https://academic.oup.com/cercor/article-pdf/24/3/663/14099596/bhs352.pdf
Author response image 1. Author response, eLife, vol.60, 2014. ,
DOI : 10.7554/eLife.01867.014
Temporal dynamics of spontaneous MEG activity in brain networks, Proc. Natl. Acad. Sci. USA, pp.6040-6045, 2010. ,
DOI : 10.1287/ijoc.7.4.417
A Dynamic Core Network and Global Efficiency in the Resting Human Brain, Cerebral Cortex, vol.7, issue.10, p.185, 2015. ,
DOI : 10.1093/cercor/bhr269
Dynamic reorganization of functional brain networks during picture naming, Cortex, vol.73, pp.276-288, 2015. ,
DOI : 10.1016/j.cortex.2015.08.019
URL : https://hal.archives-ouvertes.fr/hal-01222833
EEG Source Connectivity Analysis: From Dense Array Recordings to Brain Networks, PLoS ONE, vol.45, issue.8, 2014. ,
DOI : 10.1371/journal.pone.0105041.t002
URL : https://hal.archives-ouvertes.fr/inserm-01082226
STUDYING SINGLE-TRIALS OF PHASE SYNCHRONOUS ACTIVITY IN THE BRAIN, International Journal of Bifurcation and Chaos, vol.28, issue.10, pp.2429-2468, 2000. ,
DOI : 10.1126/science.282.5395.1846
Hubs of brain functional networks are radically reorganized in comatose patients, Proc. Natl. Acad. Sci. USA, pp.20608-20621, 2012. ,
DOI : 10.1136/jamia.2001.0080443
URL : https://hal.archives-ouvertes.fr/inserm-00769024
A Resilient, Low-Frequency, Small-World Human Brain Functional Network with Highly Connected Association Cortical Hubs, Journal of Neuroscience, vol.26, issue.1, pp.63-72, 2006. ,
DOI : 10.1523/JNEUROSCI.3874-05.2006
URL : http://www.jneurosci.org/content/jneuro/26/1/63.full.pdf
, Scientific RepoRts | 7: 2936 | DOI:10
Modeling the Impact of Lesions in the Human Brain, PLoS Computational Biology, vol.30, issue.6, 2009. ,
DOI : 10.1371/journal.pcbi.1000408.s002
Identifying the brain's most globally connected regions, NeuroImage, vol.49, issue.4, pp.3132-3148, 2010. ,
DOI : 10.1016/j.neuroimage.2009.11.001
Vulnerability and Hierarchy of Complex Networks, Physics (College. Park. Md), vol.16, p.4, 2004. ,
A Set of Measures of Centrality Based on Betweenness, Sociometry, vol.40, issue.1, pp.35-41, 1977. ,
DOI : 10.2307/3033543
Rich Club Organization of Macaque Cerebral Cortex and Its Role in Network Communication, PLoS ONE, vol.7, issue.9, 2012. ,
DOI : 10.1371/journal.pone.0046497.s002
Uncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans, PLoS ONE, vol.28, issue.6, 2009. ,
DOI : 10.1371/journal.pone.0005226.s015
Identification and Classification of Hubs in Brain Networks, PLoS ONE, vol.31, issue.10, 2007. ,
DOI : 10.1371/journal.pone.0001049.s001
Characterization of complex networks: A survey of measurements, Advances in Physics, vol.14, issue.1, pp.167-242, 2007. ,
DOI : 10.1073/pnas.172501399
Edge vulnerability in neural and metabolic networks, Biological Cybernetics, vol.90, issue.5, pp.311-317, 2004. ,
DOI : 10.1007/s00422-004-0479-1
URL : http://arxiv.org/pdf/q-bio/0403015
Functional cartography of complex metabolic networks, Nature, vol.411, issue.Suppl., pp.895-900, 2005. ,
DOI : 10.1038/35075138
Changes in Cognitive State Alter Human Functional Brain Networks, Frontiers in Human Neuroscience, vol.5, pp.1-15, 2011. ,
DOI : 10.3389/fnhum.2011.00083
URL : http://journal.frontiersin.org/article/10.3389/fnhum.2011.00083/pdf
Age-related changes in modular organization of human brain functional networks, NeuroImage, vol.44, issue.3, pp.715-723, 2009. ,
DOI : 10.1016/j.neuroimage.2008.09.062
URL : https://hal.archives-ouvertes.fr/hal-00350197
Evidence for Hubs in Human Functional Brain Networks, Neuron, vol.79, issue.4, pp.798-813, 2013. ,
DOI : 10.1016/j.neuron.2013.07.035
URL : https://doi.org/10.1016/j.neuron.2013.07.035
An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest, NeuroImage, vol.31, issue.3, pp.968-980, 2006. ,
DOI : 10.1016/j.neuroimage.2006.01.021
Identification of Interictal Epileptic Networks from Dense-EEG. Brain Topography 1?17, doi:10, pp.10548-10564, 1007. ,
DOI : 10.1007/s10548-016-0517-z
URL : https://hal.archives-ouvertes.fr/hal-01446562
Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease, Journal of Neuroscience, vol.29, issue.6, pp.1860-1873, 2009. ,
DOI : 10.1523/JNEUROSCI.5062-08.2009
URL : http://www.jneurosci.org/content/jneuro/29/6/1860.full.pdf
Global Connectivity of Prefrontal Cortex Predicts Cognitive Control and Intelligence, Journal of Neuroscience, vol.32, issue.26, pp.8988-8999, 2012. ,
DOI : 10.1523/JNEUROSCI.0536-12.2012
URL : http://www.jneurosci.org/content/jneuro/32/26/8988.full.pdf
Eigenvector Centrality Mapping for Analyzing Connectivity Patterns in fMRI Data of the Human Brain, PLoS ONE, vol.5, issue.4, 2010. ,
DOI : 10.1371/journal.pone.0010232.s002
A New Measure of Centrality for Brain Networks, PLoS ONE, vol.401, issue.8, 2010. ,
DOI : 10.1371/journal.pone.0012200.s004
URL : https://doi.org/10.1371/journal.pone.0012200
A default mode of brain function: A brief history of an evolving idea, NeuroImage, vol.37, issue.4, pp.1083-1090, 2007. ,
DOI : 10.1016/j.neuroimage.2007.02.041
Wandering Minds: The Default Network and Stimulus-Independent Thought, Science, vol.315, issue.5810, pp.393-395, 2007. ,
DOI : 10.1126/science.1131295
URL : http://europepmc.org/articles/pmc1821121?pdf=render
The Chronnectome: Time-Varying Connectivity Networks as the Next Frontier in fMRI Data Discovery, Neuron, vol.84, issue.2, pp.262-274, 2014. ,
DOI : 10.1016/j.neuron.2014.10.015
URL : https://doi.org/10.1016/j.neuron.2014.10.015
The (in)stability of functional brain network measures across thresholds, NeuroImage, vol.118, pp.651-661, 2015. ,
DOI : 10.1016/j.neuroimage.2015.05.046
Investigating the electrophysiological basis of resting state networks using magnetoencephalography, Proc. Natl. Acad. Sci. USA, pp.16783-16791, 2011. ,
DOI : 10.1088/0031-9155/32/1/004
Large-scale cortical correlation structure of spontaneous oscillatory activity, Nature Neuroscience, vol.28, issue.6, pp.884-890, 2012. ,
DOI : 10.1016/j.neuroimage.2005.06.058
URL : http://europepmc.org/articles/pmc3861400?pdf=render
Brain-Source Imaging: From sparse to tensor models, IEEE Signal Processing Magazine, vol.32, issue.6, pp.100-112, 2015. ,
DOI : 10.1109/MSP.2015.2413711
URL : https://hal.archives-ouvertes.fr/hal-01190559
Measuring functional connectivity in MEG: A multivariate approach insensitive to linear source leakage, NeuroImage, vol.63, issue.2, pp.910-920, 2012. ,
DOI : 10.1016/j.neuroimage.2012.03.048
URL : https://doi.org/10.1016/j.neuroimage.2012.03.048
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis, Journal of Neuroscience Methods, vol.134, issue.1, pp.9-21, 2004. ,
DOI : 10.1016/j.jneumeth.2003.10.009
URL : http://www.sccn.ucsd.edu/eeglab/download/eeglab_jnm03.pdf
Brainstorm: A User-Friendly Application for MEG/EEG Analysis, Computational Intelligence and Neuroscience, vol.57, issue.1, p.2011, 2011. ,
DOI : 10.1002/hbm.20781
URL : http://downloads.hindawi.com/journals/cin/2011/879716.pdf
FreeSurfer, NeuroImage, vol.62, issue.2, pp.774-781, 2012. ,
DOI : 10.1016/j.neuroimage.2012.01.021
OpenMEEG: opensource software for quasistatic bioelectromagnetics, BioMedical Engineering OnLine, vol.9, issue.1, p.45, 2010. ,
DOI : 10.1186/1475-925X-9-45
URL : https://hal.archives-ouvertes.fr/inria-00467061
Interpreting magnetic fields of the brain: minimum norm estimates, Medical & Biological Engineering & Computing, vol.22, issue.1, pp.35-42, 1994. ,
DOI : 10.1109/T-ED.1984.21877
EEGNET: An Open Source Tool for Analyzing and Visualizing M/EEG Connectome, PLOS ONE, vol.8, issue.2, 2015. ,
DOI : 10.1371/journal.pone.0138297.g006
URL : https://hal.archives-ouvertes.fr/hal-01326301
The architecture of complex weighted networks, Proc. Natl. Acad. Sci. USA 101, pp.3747-3752, 2004. ,
DOI : 10.1103/PhysRevLett.89.208701
URL : https://hal.archives-ouvertes.fr/hal-00013475
Collective dynamics of ???small-world??? networks, Nature, vol.338, issue.2, pp.440-442, 1998. ,
DOI : 10.1038/338334a0
Complex network measures of brain connectivity: Uses and interpretations, NeuroImage, vol.52, issue.3, pp.1059-1069, 2010. ,
DOI : 10.1016/j.neuroimage.2009.10.003
BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics, PLoS ONE, vol.32, issue.7, 2013. ,
DOI : 10.1371/journal.pone.0068910.t001
URL : https://doi.org/10.1371/journal.pone.0068910
Performance of modularity maximization in practical contexts, Physical Review E, vol.49, issue.4, p.81, 2010. ,
DOI : 10.1007/BF02291465
URL : http://dial.uclouvain.be/downloader/downloader.php?pid=boreal:33898&datastream=PDF_01&disclaimer=21059b3e586bd945880c061a2566059997bd0c8c20bd5ee45559efbb0ed23dde
Community structure in social and biological networks, Proc. Natl. Acad. Sci. USA 99, pp.7821-7827, 2002. ,
DOI : 10.1086/285382
URL : http://www.pnas.org/content/99/12/7821.full.pdf
Fast unfolding of communities in large networks, Journal of Statistical Mechanics: Theory and Experiment, vol.2008, issue.10, p.6, 2008. ,
DOI : 10.1088/1742-5468/2008/10/P10008
URL : https://hal.archives-ouvertes.fr/hal-01146070
The map equation, The European Physical Journal Special Topics, vol.178, issue.1, pp.13-23, 2009. ,
DOI : 10.1140/epjst/e2010-01179-1
Consensus clustering in complex networks, Scientific Reports, vol.37, issue.1, p.336, 2012. ,
DOI : 10.1038/30918
URL : http://www.nature.com/articles/srep00336.pdf
Weight-conserving characterization of complex functional brain networks, NeuroImage, vol.56, issue.4, pp.2068-2079, 2011. ,
DOI : 10.1016/j.neuroimage.2011.03.069
Extracting the hierarchical organization of complex systems, Proc. Natl. Acad. Sci. USA, p.18874, 2007. ,
DOI : 10.1126/science.1118439
URL : http://www.pnas.org/content/104/39/15224.full.pdf
Robust detection of dynamic community structure in networks, Chaos: An Interdisciplinary Journal of Nonlinear Science, vol.5, issue.1, 2013. ,
DOI : 10.1103/PhysRevD.86.083005
URL : http://europepmc.org/articles/pmc3618100?pdf=render
Decoding Subject-Driven Cognitive States with Whole-Brain Connectivity Patterns, Cerebral Cortex, vol.50, issue.1, pp.158-165, 2012. ,
DOI : 10.1016/j.neuroimage.2009.12.027
URL : https://academic.oup.com/cercor/article-pdf/22/1/158/14096754/bhr099.pdf