P. D. Adelson, D. K. O-'rourke, and A. L. Albright, Chronic invasive monitoring for identifying seizure foci in children, Neurosurg. Clin. N. Am, vol.6, pp.491-504, 1995.

M. E. Ahmadi, D. J. Hagler, C. R. Mcdonald, E. S. Tecoma, V. J. Iragui et al., Side Matters: Diffusion Tensor Imaging Tractography in Left and Right Temporal Lobe Epilepsy, American Journal of Neuroradiology, vol.5, issue.Spec no, pp.1740-1747, 2009.
DOI : 10.1371/journal.pone.0000597

E. A. Allen, E. Damaraju, S. M. Plis, E. B. Erhardt, T. Eichele et al., Tracking Whole-Brain Connectivity Dynamics in the Resting State, Cerebral Cortex, vol.22, issue.3, pp.1-14, 2012.
DOI : 10.1093/cercor/bhr269

F. Bartolomei, P. Chauvel, and F. Wendling, Epileptogenicity of brain structures in human temporal lobe epilepsy: a quantified study from intracerebral EEG, Brain, vol.42, issue.7, pp.1818-1830, 2008.
DOI : 10.1046/j.1528-1157.2001.00500.x
URL : https://hal.archives-ouvertes.fr/inserm-00291170

F. Bartolomei, M. Guye, and F. Wendling, Abnormal binding and disruption in large scale networks involved in human partial seizures, EPJ Nonlinear Biomedical Physics, vol.54, issue.183, 2013.
DOI : 10.1016/j.neuchi.2008.02.013
URL : https://hal.archives-ouvertes.fr/inserm-00839181

B. C. Bernhardt, S. Hong, A. Bernasconi, and N. Bernasconi, Imaging structural and functional brain networks in temporal lobe epilepsy, Frontiers in Human Neuroscience, vol.7, pp.1-14, 2013.
DOI : 10.3389/fnhum.2013.00624

P. Besson, V. Dinkelacker, R. Valabregue, L. Thivard, X. Leclerc et al., Structural connectivity differences in left and right temporal lobe epilepsy, NeuroImage, vol.100, pp.135-144, 2014.
DOI : 10.1016/j.neuroimage.2014.04.071
URL : https://hal.archives-ouvertes.fr/hal-01098831

L. Bonilha, T. Nesland, G. U. Martz, J. E. Joseph, M. V. Spampinato et al., Medial temporal lobe epilepsy is associated with neuronal fibre loss and paradoxical increase in structural connectivity of limbic structures, Journal of Neurology, Neurosurgery & Psychiatry, vol.83, issue.9, pp.903-909, 2012.
DOI : 10.1136/jnnp-2012-302476

A. Bricolo, S. Turazzi, F. Faccioli, F. Odorizzi, G. Sciaretta et al., Clinical application of compressed spectral array in long-term EEG monitoring of comatose patients, Electroencephalography and Clinical Neurophysiology, vol.45, issue.2, pp.211-225, 1978.
DOI : 10.1016/0013-4694(78)90005-6

J. C. Bulacio, L. Jehi, C. Wong, J. Gonzalez-martinez, P. Kotagal et al., Long-term seizure outcome after resective surgery in patients evaluated with intracranial electrodes, Epilepsia, vol.61, issue.Suppl. 6, pp.1722-1730, 2012.
DOI : 10.1212/01.WNL.0000081226.51886.5B
URL : http://onlinelibrary.wiley.com/doi/10.1111/j.1528-1167.2012.03633.x/pdf

S. P. Burns, S. Santaniello, R. B. Yaffe, C. C. Jouny, N. E. Crone et al., Network dynamics of the brain and influence of the epileptic seizure onset zone, Proceedings of the National Academy of Sciences, vol.2011, issue.49, pp.5321-5330, 2014.
DOI : 10.1111/epi.12505

G. Deco and M. L. Kringelbach, Great Expectations: Using Whole-Brain Computational Connectomics for Understanding Neuropsychiatric Disorders, Neuron, vol.84, issue.5, pp.892-905, 2014.
DOI : 10.1016/j.neuron.2014.08.034
URL : https://doi.org/10.1016/j.neuron.2014.08.034

G. Deco, V. Jirsa, A. R. Mcintosh, O. Sporns, and R. Kötter, Key role of coupling, delay, and noise in resting brain fluctuations, Proceedings of the National Academy of Sciences, vol.8, issue.5, pp.10302-10307, 2009.
DOI : 10.1136/jamia.2001.0080443
URL : http://www.pnas.org/content/106/25/10302.full.pdf

G. Deco, V. K. Jirsa, and A. R. Mcintosh, Emerging concepts for the dynamical organization of resting-state activity in the brain, Nature Reviews Neuroscience, vol.4, issue.1, pp.43-56, 2011.
DOI : 10.3389/neuro.09.048.2009

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, Journal of Neuroscience, vol.34, issue.23, pp.7910-7916, 2014.
DOI : 10.1523/JNEUROSCI.4423-13.2014

M. N. Desalvo, L. Douw, N. Tanaka, C. Reinsberger, and S. M. Stufflebeam, Altered Structural Connectome in Temporal Lobe Epilepsy, Radiology, vol.270, issue.3, pp.842-848, 2014.
DOI : 10.1148/radiol.13131044

E. Houssaini, K. Ivanov, A. L. Bernard, C. Jirsa, and V. K. , Seizures, refractory status epilepticus , and depolorization block as endogenous brain activities. Phys. Rev. E. 91, 2015.

I. Falcon, J. D. Riley, V. K. Jirsa, A. R. Mcintosh, A. D. Shereen et al., The Virtual Brain: Modeling Biological Correlates of Recovery after Chronic Stroke, Frontiers in Neurology, vol.102, issue.Pt 2, 2015.
DOI : 10.1016/j.neuroimage.2014.07.064

E. S. Finn, X. Shen, D. Scheinost, M. D. Rosenberg, J. Huang et al., Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity, Nature Neuroscience, vol.3, issue.11, 2015.
DOI : 10.1016/j.neuroimage.2009.10.003

B. Fischl, FreeSurfer, NeuroImage, vol.62, issue.2, pp.774-781, 2012.
DOI : 10.1016/j.neuroimage.2012.01.021

K. J. Friston, K. E. Stephan, R. Montague, and R. J. Dolan, Computational psychiatry: the brain as a phantastic organ, The Lancet Psychiatry, vol.1, issue.2, pp.148-158, 2014.
DOI : 10.1016/S2215-0366(14)70275-5

S. Fuhrmann, J. Ackermann, T. Kalbe, and M. Goesele, Direct Resampling for Isotropic Surface Remeshing. Vision, Modeling, and Visualization, pp.1-28009, 2010.

A. Ghosh, Y. Rho, A. R. Mcintosh, R. Kötter, and V. K. Jirsa, Noise during Rest Enables the Exploration of the Brain's Dynamic Repertoire, PLoS Computational Biology, vol.2, issue.10, 2008.
DOI : 10.1371/journal.pcbi.1000196.s011

A. Gramfort, T. Papadopoulo, E. Olivi, and M. Clerc, OpenMEEG: opensource software for quasistatic bioelectromagnetics, BioMedical Engineering OnLine, vol.9, issue.1, pp.1475-925, 2010.
DOI : 10.1186/1475-925X-9-45
URL : https://hal.archives-ouvertes.fr/inria-00467061

E. C. 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, 2014.
DOI : 10.1016/j.neuroimage.2014.11.001

U. Heinemann, A. Konnerth, R. Pumain, and W. J. Wadman, Extracellular calcium and potassium concentration changes in chronic epileptic brain tissue, Adv. Neurol, vol.44, pp.641-661, 1986.

M. D. Hoffman and A. Gelman, The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo, pp.1-30, 2011.

C. J. Honey, R. Kötter, M. Breakspear, and O. Sporns, Network structure of cerebral cortex shapes functional connectivity on multiple time scales, Proceedings of the National Academy of Sciences, vol.41, issue.6, pp.10240-10245, 2007.
DOI : 10.1002/mrm.1910390602
URL : http://www.pnas.org/content/104/24/10240.full.pdf

A. Ikeda, W. Taki, T. Kunieda, K. Terada, N. Mikuni et al., Focal ictal direct current shifts in humanepilepsy as studied by subdural and scalp recording, Brain, vol.122, issue.5, pp.827-838, 1999.
DOI : 10.1093/brain/122.5.827
URL : https://academic.oup.com/brain/article-pdf/122/5/827/839588/1220827.pdf

P. Jayakar, Invasive EEG Monitoring in Children: When, Where, and What?, Journal of Clinical Neurophysiology, vol.16, issue.5, p.408, 1999.
DOI : 10.1097/00004691-199909000-00002

P. Jayakar, M. Duchowny, and T. J. Resnick, Subdural Monitoring in the Evaluation of Children for Epilepsy Surgery, Journal of Child Neurology, vol.63, issue.1, pp.08830738940090020912-61, 1994.
DOI : 10.1002/ana.410340517

L. E. Jeha, I. Najm, W. Bingaman, D. Dinner, P. Widdess-walsh et al., Surgical outcome and prognostic factors of frontal lobe epilepsy surgery, Brain, vol.130, issue.2, pp.574-584, 2007.
DOI : 10.1093/brain/awl364
URL : https://academic.oup.com/brain/article-pdf/130/2/574/809931/awl364.pdf

M. Jenkinson, C. F. Beckmann, T. E. Behrens, M. W. Woolrich, and S. M. Smith, FSL, NeuroImage, vol.62, issue.2, pp.782-790, 2012.
DOI : 10.1016/j.neuroimage.2011.09.015
URL : https://hal.archives-ouvertes.fr/inserm-01149484

V. K. Jirsa, Neural field dynamics with local and global connectivity and time delay, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.72, issue.4, pp.1131-1143, 2009.
DOI : 10.1007/BF00202790
URL : http://rsta.royalsocietypublishing.org/content/roypta/367/1891/1131.full.pdf

V. K. Jirsa, K. J. Jantzen, A. Fuchs, and J. A. Kelso, Spatiotemporal forward solution of the EEG and MEG using network modeling, IEEE Transactions on Medical Imaging, vol.21, issue.5, pp.493-504, 2002.
DOI : 10.1109/TMI.2002.1009385

V. K. Jirsa, O. Sporns, M. Breakspear, G. Deco, and A. R. Mcintosh, Towards the virtual brain: network modeling of the intact and the damaged brain, Arch. Ital. Biol, vol.148, pp.189-205, 2010.

V. K. Jirsa, W. C. Stacey, P. P. Quilichini, A. I. Ivanov, and C. Bernard, On the nature of seizure dynamics, Brain, vol.31, issue.Pt 4, pp.2210-2230, 2014.
DOI : 10.1523/JNEUROSCI.2597-11.2011

H. Johansen-berg and T. E. Berhens, Diffusion MRI: From Quantitative Measurement to in vivo Neuroanatomy, 2009.

T. R. Knösche, A. Anwander, M. Liptrot, and T. B. Dyrby, Validation of tractography: Comparison with manganese tracing, Human Brain Mapping, vol.52, issue.Pt 1, pp.4116-4134, 2015.
DOI : 10.1002/mrm.20279

A. Kucukelbir, R. Ranganath, A. Gelman, and D. M. Blei, Automatic Variational Inference in Stan. arXiv Prepr, pp.1-22, 2015.

M. A. Lopez-gonzalez, J. A. Gonzalez-martinez, L. Jehi, P. Kotagal, A. Warbel et al., Epilepsy Surgery of the Temporal Lobe in Pediatric Population, Neurosurgery, vol.120, issue.6, pp.684-692, 2012.
DOI : 10.1111/j.1600-0404.2005.00467.x

S. Makeig, Auditory event-related dynamics of the EEG spectrum and effects of exposure to tones, Electroencephalography and Clinical Neurophysiology, vol.86, issue.4, pp.283-293, 1993.
DOI : 10.1016/0013-4694(93)90110-H

H. Markram, E. Muller, S. Ramaswamy, M. W. Reimann, M. Abdellah et al., Reconstruction and Simulation of Neocortical Microcircuitry, Cell, vol.163, issue.2, pp.456-492, 2015.
DOI : 10.1016/j.cell.2015.09.029

I. M. Najm, R. Naugle, R. M. Busch, W. E. Bingaman, and H. O. Lüders, Definition of the epileptogenic zone in a patient with non-lesional temporal lobe epilepsy arising from the dominant hemisphere, Epileptic Disord, vol.8, pp.27-35, 2006.

T. T. Nakagawa, V. K. Jirsa, A. Spiegler, A. R. Mcintosh, and G. Deco, Bottom up modeling of the connectome: Linking structure and function in the resting brain and their changes in aging, NeuroImage, vol.80, pp.318-329, 2013.
DOI : 10.1016/j.neuroimage.2013.04.055

T. Proix, F. Bartolomei, P. Chauvel, C. Bernard, and V. K. Jirsa, Permittivity Coupling across Brain Regions Determines Seizure Recruitment in Partial Epilepsy, Journal of Neuroscience, vol.34, issue.45, pp.15009-15021, 2014.
DOI : 10.1523/JNEUROSCI.1570-14.2014

T. Proix, F. Bartolomei, M. Guye, and V. K. Jirsa, 2016a. Individual structural connectivity outlines recruitment networks in partial epilepsy

T. Proix, S. Spiegler, M. Schirner, S. Rothmeier, P. Ritter et al., Using structural and diffusion MRI in large-scale brain models: preprocessing, sampling effects, and dynamics, NeuroImage, 2016.

F. Rosenow and H. Lüders, Presurgical evaluation of epilepsy, Brain, vol.124, issue.9, pp.1683-1700, 2001.
DOI : 10.1093/brain/124.9.1683

S. Leon, P. Knock, S. A. Woodman, M. M. Domide, L. Mersmann et al., The Virtual Brain: a simulator of primate brain network dynamics, Front. Neuroinform, vol.7, issue.10, 2013.

P. Sanz-leon, S. A. Knock, A. Spiegler, and V. K. Jirsa, Mathematical framework for largescale brain network modelling in The Virtual Brain, NeuroImage, vol.1, issue.111, pp.385-430, 2015.

J. Sarvas, Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem, Physics in Medicine and Biology, vol.32, issue.1, p.11, 1987.
DOI : 10.1088/0031-9155/32/1/004

M. Schirner, S. Rothmeier, V. K. Jirsa, A. R. Mcintosh, and P. Ritter, An automated pipeline for constructing personalized virtual brains from multimodal neuroimaging data, NeuroImage, vol.117, pp.343-357, 2015.
DOI : 10.1016/j.neuroimage.2015.03.055

A. K. Seehaus, A. Roebroeck, O. Chiry, D. Kim, I. Ronen et al., Histological Validation of DW-MRI Tractography in Human Postmortem Tissue, Cerebral Cortex, vol.41, issue.4, pp.442-450, 2013.
DOI : 10.1016/j.neuroimage.2008.03.036

R. E. Smith, J. Tournier, F. Calamante, and A. Connelly, Anatomically-constrained tractography: Improved diffusion MRI streamlines tractography through effective use of anatomical information, NeuroImage, vol.62, issue.3, 1924.
DOI : 10.1016/j.neuroimage.2012.06.005

R. E. Smith, J. Tournier, F. Calamante, and A. Connelly, SIFT: Spherical-deconvolution informed filtering of tractograms, NeuroImage, vol.67, pp.298-312, 2013.
DOI : 10.1016/j.neuroimage.2012.11.049

A. Spiegler and V. Jirsa, Systematic approximations of neural fields through networks of neural masses in the virtual brain, NeuroImage, vol.83, pp.704-725, 2013.
DOI : 10.1016/j.neuroimage.2013.06.018

A. Spiegler, E. C. Hansen, A. R. Mcintosh, and V. K. Jirsa, Modeling the critical brain: stimulation, dissipation and resting state networks. eNeuro, 2016.

O. Sporns, G. Tononi, and R. Kötter, The Human Connectome: A Structural Description of the Human Brain, e42, 2005.
DOI : 1539-2791(2004)002[0019:IDAESF]2.0.CO;2

K. E. Stephan and C. Mathys, Computational approaches to psychiatry, Current Opinion in Neurobiology, vol.25, pp.85-92, 2014.
DOI : 10.1016/j.conb.2013.12.007

K. E. Stephan, S. Iglesias, J. Heinzle, and A. O. Diaconescu, Translational Perspectives for Computational Neuroimaging, Neuron, vol.87, issue.4, pp.716-732, 2015.
DOI : 10.1016/j.neuron.2015.07.008

M. Suh, H. Ma, M. Zhao, S. Sharif, and T. H. Schwartz, Neurovascular Coupling and Oximetry During Epileptic Events, Molecular Neurobiology, vol.33, issue.3, pp.181-197, 2006.
DOI : 10.1385/MN:33:3:181

J. Talairach and J. Bancaud, Lesion, "Irritative" Zone and Epileptogenic Focus, Stereotactic and Functional Neurosurgery, vol.27, issue.1-3, pp.91-94, 1966.
DOI : 10.1159/000103937

, The Stan Development Team Stan: A C++ Library for Probability and Sampling, 2015.

V. K. Jirsa, The Virtual Epileptic Patient: Individualized whole-brain models of epilepsy spread, NeuroImage, vol.145, pp.377-388, 2017.
DOI : 10.1016/j.neuroimage.2016.04.049
URL : https://hal.archives-ouvertes.fr/hal-01425499

J. Tournier, F. Calamante, and A. Connelly, Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution, NeuroImage, vol.35, issue.4, pp.1459-1472, 2007.
DOI : 10.1016/j.neuroimage.2007.02.016

S. Vanhatalo, M. D. Holmes, P. Tallgren, J. Voipio, K. Kaila et al., Very slow EEG responses lateralize temporal lobe seizures: An evaluation of non-invasive DC-EEG, Neurology, vol.60, issue.7, pp.1098-1104, 2003.
DOI : 10.1212/01.WNL.0000052993.37621.CC

P. Widdess-walsh, L. Jeha, D. Nair, P. Kotagal, W. Bingaman et al., Subdural electrode analysis in focal cortical dysplasia: Predictors of surgical outcome, Neurology, vol.69, issue.7, pp.660-667, 2007.
DOI : 10.1212/01.wnl.0000267427.91987.21

J. Wirsich, A. Perry, B. Ridley, T. Proix, M. Golos et al., Whole-brain analytic measures of network communication reveal increased structure-function correlation in right temporal lobe epilepsy, NeuroImage: Clinical, vol.11, issue.11, pp.707-718, 2016.
DOI : 10.1016/j.nicl.2016.05.010
URL : https://hal.archives-ouvertes.fr/hal-01425524

E. Wyllie, H. Lüders, H. H. Morris, R. P. Lesser, D. S. Dinner et al., Subdural Electrodes in the Evaluation for Epilepsy Surgery in Children and Adults, Neuropediatrics, vol.19, issue.02, pp.80-86, 1988.
DOI : 10.1055/s-2008-1052406
URL : http://www.thieme-connect.de/products/ejournals/pdf/10.1055/s-2008-1052406.pdf

M. Zhao, J. Nguyen, H. Ma, N. Nishimura, C. B. Schaffer et al., Preictal and Ictal Neurovascular and Metabolic Coupling Surrounding a Seizure Focus, Journal of Neuroscience, vol.31, issue.37, pp.13292-13300, 2011.
DOI : 10.1523/JNEUROSCI.2597-11.2011
URL : http://www.jneurosci.org/content/jneuro/31/37/13292.full.pdf