S. L. Bressler and V. Menon, Large-scale brain networks in cognition: emerging methods and principles, Trends Cogn Sci, vol.14, pp.277-90, 2010.

M. D. Fox and M. E. Raichle, Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging, Nat Rev Neurosci, vol.8, pp.700-711, 2007.

F. De-pasquale, D. Penna, S. Snyder, A. Z. Lewis, C. Mantini et al., Temporal dynamics of spontaneous MEG activity in brain networks, Proc Natl Acad Sci, vol.107, pp.6040-6045, 2010.

M. W. Cole, D. S. Bassett, J. D. Power, T. S. Braver, and S. E. Petersen, Intrinsic and Task-Evoked Network Architectures of the Human Brain, Neuron, vol.83, pp.238-251, 2014.

G. Deco, V. K. Jirsa, and A. R. Mcintosh, Resting brains never rest: computational insights into potential cognitive architectures, Trends Neurosci, vol.36, pp.268-274, 2013.

C. J. Honey, R. Kö-tter, M. Breakspear, and O. Sporns, Network structure of cerebral cortex shapes functional connectivity on multiple time scales, Proc Natl Acad Sci U S A, vol.104, pp.10240-10245, 2007.

A. Ghosh, Y. Rho, A. R. Mcintosh, R. Kö-tter, and V. K. Jirsa, Noise during rest enables the exploration of the brain's dynamic repertoire, PLoS Comput Biol, vol.4, p.18846206, 2008.

P. Moretti and M. A. Muñoz, Griffiths phases and the stretching of criticality in brain networks, Nat Commun, vol.4, p.2521, 2013.

P. V. Martín, P. Moretti, and M. A. Muñoz, Rounding of abrupt phase transitions in brain networks, J Stat Mech Theory Exp, p.1003, 2015.

D. Battaglia, A. Witt, F. Wolf, and T. Geisel, Dynamic effective connectivity of inter-areal brain circuits, PLoS Comput Biol, vol.8, p.1002438, 2012.

C. Kirst, M. Timme, and D. Battaglia, Dynamic information routing in complex networks, Nat Commun, vol.7, p.11061, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01431282

V. D. Calhoun, R. Miller, G. Pearlson, and T. Adal?, The Chronnectome: Time-Varying Connectivity Networks as the Next Frontier in fMRI Data Discovery, Neuron, vol.84, pp.262-274, 2014.

N. J. Kopell, H. J. Gritton, M. A. Whittington, and M. A. Kramer, Beyond the connectome: the dynome, Neuron, vol.83, pp.1319-1347, 2014.

G. Deco and V. K. Jirsa, Ongoing cortical activity at rest: criticality, multistability, and ghost attractors, J Neurosci, vol.32, pp.3366-75, 2012.

E. Hansen, D. Battaglia, A. Spiegler, G. Deco, and V. K. Jirsa, Functional connectivity dynamics: Modeling the switching behavior of the resting state, Neuroimage, vol.105, pp.525-535, 2015.

K. Glomb, A. Ponce-alvarez, M. Gilson, P. Ritter, and G. Deco, Resting state networks in empirical and simulated dynamic functional connectivity, Neuroimage, vol.159, pp.388-402, 2017.

P. Orio, M. Gatica, R. Herzog, J. P. Maidana, S. Castro et al., Chaos versus noise as drivers of multistability in neural networks, Chaos, vol.28, p.106321, 2018.

X. Wang, Probabilistic Decision Making by Slow Reverberation in Cortical Circuits, Neuron, vol.36, p.12467598, 2002.

K. Wong and X. Wang, A recurrent network mechanism of time integration in perceptual decisions, J Neurosci, vol.26, pp.1314-1342, 2006.

C. Moutard, S. Dehaene, and R. Malach, Spontaneous Fluctuations and Non-linear Ignitions: Two Dynamic Faces of Cortical Recurrent Loops, Neuron, vol.88, pp.194-206, 2015.

N. Noy, S. Bickel, E. Zion-golumbic, M. Harel, T. Golan et al., Ignition's glow: Ultra-fast spread of global cortical activity accompanying local "ignitions" in visual cortex during conscious visual perception, Conscious Cogn, vol.35, pp.206-230, 2015.

G. Deco and M. L. Kringelbach, Hierarchy of Information Processing in the Brain: A Novel 'Intrinsic Ignition' Framework, Neuron, vol.94, pp.961-968, 2017.

G. Deco, A. Ponce-alvarez, D. Mantini, G. L. Romani, P. Hagmann et al., Resting-State Functional Connectivity Emerges from Structurally and Dynamically Shaped Slow Linear Fluctuations, J Neurosci, vol.33, pp.11239-11252, 2013.

M. R. Joglekar, J. F. Mejias, G. R. Yang, and X. Wang, Inter-areal Balanced Amplification Enhances Signal Propagation in a Large-Scale Circuit Model of the Primate Cortex, Neuron, vol.98, pp.222-234, 2018.

F. De-pasquale, M. Corbetta, V. Betti, D. Penna, and S. , Cortical cores in network dynamics. Neuroimage, vol.180, pp.370-382, 2018.

C. W. Lynn and D. S. Bassett, The physics of brain network structure, function and control, Nat Rev Phys, vol.1, pp.318-332, 2019.

P. Hagmann, L. Cammoun, X. Gigandet, R. Meuli, C. J. Honey et al., Mapping the structural core of human cerebral cortex, PLoS Biol, vol.6, p.159, 2008.

G. Deco, V. K. Jirsa, P. A. Robinson, M. Breakspear, and K. Friston, The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields, PLoS Comput Biol, vol.4, p.1000092, 2008.

C. J. Honey, O. Sporns, L. Cammoun, X. Gigandet, J. P. Thiran et al., Predicting human restingstate functional connectivity from structural connectivity, Proc Natl Acad Sci U S A, vol.106, pp.2035-2075, 2009.

A. Messé, D. Rudrauf, H. Benali, and G. Marrelec, Relating structure and function in the human brain: relative contributions of anatomy, stationary dynamics, and non-stationarities. Hilgetag CC, editor, PLoS Comput Biol, vol.10, p.1003530, 2014.

R. S. Desikan, F. Sé-gonne, B. Fischl, B. T. Quinn, B. C. Dickerson et al., An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest, Neuroimage, vol.31, pp.968-80, 2006.

S. Maslov and K. Sneppen, Specificity and Stability in Topology of Protein Networks. Science (80-), vol.296, pp.910-913, 2002.

D. J. Watts and S. H. Strogatz, Collective dynamics of 'small-world' networks, Nature, vol.393, pp.440-442, 1998.

M. D. Humphries, K. Gurney, and . Network, small-world-ness": a quantitative method for determining canonical network equivalence, PLoS One, vol.3, 2008.

E. Bullmore and O. Sporns, Complex brain networks: graph theoretical analysis of structural and functional systems, Nat Rev Neurosci, vol.10, pp.186-198, 2009.

S. Carmi, S. Havlin, S. Kirkpatrick, Y. Shavitt, and S. E. , A model of Internet topology using k-shell decomposition, Proc Natl Acad Sci U S A, vol.104, pp.11150-11154, 2007.

M. Kitsak, L. K. Gallos, S. Havlin, F. Liljeros, L. Muchnik et al., Identification of influential spreaders in complex networks, Nat Phys, vol.6, pp.888-893, 2010.

B. Mi?i?, R. F. Betzel, A. Nematzadeh, J. Goñi, A. Griffa et al., Cooperative and Competitive Spreading Dynamics on the Human Connectome, Neuron, vol.86, pp.1518-1529, 2015.

A. Utevsky, D. Smith, and S. A. Huettel, Precuneus is a functional core of the default-mode network, J Neurosci, vol.34, pp.932-972, 2014.

R. F. Betzel, J. D. Medaglia, and D. S. Bassett, Diversity of meso-scale architecture in human and non-human connectomes, Nat Commun, vol.9, p.29367627, 2018.

A. Bailey, M. Ventresca, and B. Ombuki-berman, Automatic generation of graph models for complex networks by genetic programming, Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference-GECCO '12, p.711, 2012.

F. E. Rosas, P. Mediano, M. Gastpar, and H. J. Jensen, Quantifying high-order interdependencies via multivariate extensions of the mutual information, Phys Rev E, vol.100, p.32305, 2019.

B. Camino-pontes, I. Diez, A. Jimenez-marin, J. Rasero, A. Erramuzpe et al., Interaction Information Along Lifespan of the Resting Brain Dynamics Reveals a Major Redundant Role of the Default Mode Network, Entropy, vol.20, p.742, 2018.

D. Lombardo, C. Casse-perrot, J. Ranjeva, A. Troter, . Le et al., Modular slowing of resting-state dynamic Functional Connectivity as a marker of cognitive dysfunction induced by sleep deprivation

R. A. Stefanescu and V. K. Jirsa, A Low Dimensional Description of Globally Coupled Heterogeneous Neural Networks of Excitatory and Inhibitory Neurons, PLoS Comput Biol, vol.4, p.1000219, 2008.

A. Spiegler, T. R. Knösche, K. Schwab, J. Haueisen, and F. M. Atay, Modeling brain resonance phenomena using a neural mass model, PLoS Comput Biol, vol.7, 2011.

G. Deco, M. L. Kringelbach, V. K. Jirsa, and P. Ritter, The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core, Sci Rep, vol.7, p.28596608, 2017.

M. Rubinov and O. Sporns, Complex network measures of brain connectivity: uses and interpretations, Neuroimage, vol.52, pp.1059-69, 2010.

N. T. Markov, M. Ercsey-ravasz, C. Lamy, R. Gomes, A. R. Magrou et al., The role of longrange connections on the specificity of the macaque interareal cortical network, Proc Natl Acad Sci, vol.110, pp.5187-5192, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00817258

R. G?m?nu?, H. Kennedy, Z. Toroczkai, M. Ercsey-ravasz, D. C. Van-essen et al., The Mouse Cortical Connectome, Characterized by an Ultra-Dense Cortical Graph, Maintains Specificity by Distinct Connectivity Profiles. Neuron, vol.97, pp.698-715, 2018.

M. P. Van-den-heuvel, E. T. Bullmore, and O. Sporns, Comparative Connectomics, Trends Cogn Sci, vol.20, pp.345-361, 2016.

M. Kaiser and C. C. Hilgetag, Nonoptimal Component Placement, but Short Processing Paths, due to Long-Distance Projections in Neural Systems, PLoS Comput Biol, vol.2, p.95, 2006.

R. P. Vertes, W. B. Hoover, and J. J. Rodriguez, Projections of the central medial nucleus of the thalamus in the rat: Node in cortical, striatal and limbic forebrain circuitry, Neuroscience, vol.219, pp.120-136, 2012.

J. M. Shine, M. J. Aburn, M. Breakspear, and R. A. Poldrack, The modulation of neural gain facilitates a transition between functional segregation and integration in the brain. Elife, vol.7, 2018.

V. Medel, J. Valdés, S. Castro, T. Ossandó-n, and G. Boncompte, Commentary: Amplification and Suppression of Distinct Brainwide Activity Patterns by Catecholamines, Front Behav Neurosci, vol.13, p.217, 2019.

S. Dehaene and J. Changeux, Experimental and Theoretical Approaches to Conscious Processing, Neuron, vol.70, pp.200-227, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00717254

B. Windey and A. Cleeremans, Consciousness as a graded and an all-or-none phenomenon: A conceptual analysis, Conscious Cogn, vol.35, pp.185-191, 2015.

T. Bayne, J. Hohwy, and A. M. Owen, Are There Levels of Consciousness?, Trends Cogn Sci, vol.20, pp.405-413, 2016.

J. Alstott, P. Panzarasa, M. Rubinov, and E. T. Bullmore, Vé rtes PE. A unifying framework for measuring weighted rich clubs, Sci Rep, vol.4, p.7258, 2014.

L. L. Gollo, A. Zalesky, R. M. Hutchison, M. Van-den-heuvel, and M. Breakspear, Dwelling quietly in the rich club: brain network determinants of slow cortical fluctuations, Philos Trans R Soc B Biol Sci, vol.370, pp.20140165-20140165, 2015.

A. Fornito, A. Zalesky, and E. T. Bullmore, Fundamentals of Brain Network Analysis. Fundamentals of Brain Network Analysis, 2016.

Q. K. Telesford, K. E. Joyce, S. Hayasaka, J. H. Burdette, and P. J. Laurienti, The ubiquity of small-world networks, Brain Connect, vol.1, pp.367-75, 2011.

M. Humphries, K. Gurney, and T. Prescott, The brainstem reticular formation is a small-world, not scale-free, network. Proc R Soc B Biol Sci, vol.273, pp.503-511, 2006.

L. Harriger, M. P. Van-den-heuvel, and O. Sporns, Rich club organization of macaque cerebral cortex and its role in network communication, PLoS One, vol.7, 2012.

M. Lynall, D. S. Bassett, R. Kerwin, P. J. Mckenna, M. Kitzbichler et al., Functional connectivity and brain networks in schizophrenia, J Neurosci, vol.30, pp.9477-87, 2010.

O. Sporns, Discovering the human connectome, 2012.

J. I. Alvarez-hamelin, A. Barrat, and A. Vespignani, Large scale networks fingerprinting and visualization using the k-core decomposition, Advances in Neural Information Processing Systems 18

A. Fornito, A. Zalesky, and M. Breakspear, The connectomics of brain disorders, Nat Rev Neurosci, vol.16, pp.159-172, 2015.

G. Deco, A. R. Mcintosh, K. Shen, R. M. Hutchison, R. S. Menon et al., Identification of optimal structural connectivity using functional connectivity and neural modeling, J Neurosci, vol.34, pp.7910-7916, 2014.