H. Hossein-zadeh and . Soltanian-zade, Comparison Of Five Directed Graph Measures For Identification Of Leading Interictal Epileptic Regions, Physiological Measurements, Physiol. Meas, vol.31, pp.1529-1546, 2010.

L. Kahane, L. Minotti, and . Vercueil, Directed Differential Connectivity Graph Of Interictal Epileptiform Discharges, IEEE Trans. Biomed. Eng, vol.58, pp.884-893, 2011.
URL : https://hal.archives-ouvertes.fr/inserm-00613113

C. 1. Amini, R. Sameni, C. Jutten, G. A. Hossein-zadeh, and H. Soltanian-zadeh, MR Artifact Reduction in the Simultaneous Acquisition of EEG and fMRI of Epileptic Patients, Proc. of 16th European Signal Processing Conference (EUSIPCO), p.129, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00323479

L. Amini, S. Achard, C. Jutten, G. A. Hossein-zadeh, and H. Soltanian-zadeh, Connectivity Analysis of EEG Recordings for Epileptic Patients, The 10th International Conference On Cognitive Neuroscience (ICON X), p.43, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00323487

L. Amini, S. Achard, C. Jutten, H. Soltanian-zadeh, G. A. Hossein-zadeh et al., Sparse Differential Connectivity Graph of Scalp EEG for Epileptic Patients, Proc. of the 17th European Symposium on Artificial Neural Networks (ESANN), pp.51-123, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00448557

L. Amini, C. Jutten, S. Achard, O. David, H. Soltanian-zadeh et al., Directed epileptic network from scalp and intracranial EEG of epileptic patients, 2009 IEEE International Workshop on Machine Learning for Signal Processing, p.51, 2009.
DOI : 10.1109/MLSP.2009.5306245
URL : https://hal.archives-ouvertes.fr/hal-00424212

]. O. David, A. Wozniak, L. Minotti, and P. Kahane, Preictal short-term plasticity induced by intracerebral 1??Hz stimulation, NeuroImage, vol.39, issue.4, pp.1633-1646, 2008.
DOI : 10.1016/j.neuroimage.2007.11.005
URL : https://hal.archives-ouvertes.fr/inserm-00381199

W. A. Hauser, J. F. Annegers, and W. A. Rocca, Descriptive Epidemiology of Epilepsy: Contributions of Population-Based Studies From Rochester, Minnesota, Mayo Clinic Proceedings, vol.71, issue.6, pp.576-586, 1996.
DOI : 10.4065/71.6.576

D. J. Watts and S. H. Strogatz, Collective Dynamics of Small-World Networks, pp.440-442, 1998.

F. Grouiller, L. Vercueil, A. Krainik, C. Segebarth, P. Kahane et al., A comparative study of different artefact removal algorithms for EEG signals acquired during functional MRI, NeuroImage, vol.38, issue.1, pp.124-137, 2007.
DOI : 10.1016/j.neuroimage.2007.07.025
URL : https://hal.archives-ouvertes.fr/inserm-00381736

P. Allen, O. Josephs, and R. Turner, A Method for Removing Imaging Artifact from Continuous EEG Recorded during Functional MRI, NeuroImage, vol.12, issue.2, pp.230-239, 2000.
DOI : 10.1006/nimg.2000.0599

M. L. Van-quyen, C. Adam, M. Baulac, J. Martinerie, and F. J. Varela, Nonlinear interdependencies of EEG signals in human intracranially recorded temporal lobe seizures, Brain Research, vol.792, issue.1, pp.24-40, 1998.
DOI : 10.1016/S0006-8993(98)00102-4

S. Monto, S. Vanhatalo, M. D. Holmes, and J. M. Palva, Epileptogenic Neocortical Networks Are Revealed by Abnormal Temporal Dynamics in Seizure-Free Subdural EEG, Cerebral Cortex, vol.17, issue.6, pp.1386-1393, 2007.
DOI : 10.1093/cercor/bhl049

G. J. Ortega, R. G. Sola, and J. Pastor, Complex network analysis of human ECoG data, Neuroscience Letters, vol.447, issue.2-3, pp.129-133, 2008.
DOI : 10.1016/j.neulet.2008.09.080

M. A. Kramer, U. T. Eden, S. S. Cash, and E. D. Kolaczyk, Network inference with confidence from multivariate time series, Physical Review E, vol.79, issue.6, p.61916, 2009.
DOI : 10.1103/PhysRevE.79.061916

C. Wilke, W. Van-drongelen, M. Kohrman, and B. He, Identification of epileptogenic foci from causal analysis of ECoG interictal spike activity, Clinical Neurophysiology, vol.120, issue.8, pp.1449-1456, 2009.
DOI : 10.1016/j.clinph.2009.04.024

F. Wendling, F. Bartolomei, and L. Senhadji, Spatial analysis of intracerebral electroencephalographic signals in the time and frequency domain: identification of epileptogenic networks in partial epilepsy, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.110, issue.10, pp.297-316, 2009.
DOI : 10.1016/S1388-2457(99)00136-4
URL : https://hal.archives-ouvertes.fr/inserm-00336202

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

P. Kahane, L. Minotti, D. Hoffmann, J. Lachaux, and P. Ryvlin, Invasive EEG in the Definition of the Seizure Onset Zone: Depth Electrodes Handbook of Clin. Neurophysiol . Pre-surgical assessment of the epilepsies with clinical neurophysiology and functional neuroimaging, 2004.

B. Horwitz, The elusive concept of brain connectivity, NeuroImage, vol.19, issue.2, pp.466-470, 2003.
DOI : 10.1016/S1053-8119(03)00112-5

O. Sporns, D. R. Chialvo, M. Kaiser, and C. C. Hilgetag, Organization, development and function of complex brain networks, Trends in Cognitive Sciences, vol.8, issue.9, pp.418-425, 2004.
DOI : 10.1016/j.tics.2004.07.008

C. J. Stam, Functional connectivity patterns of human magnetoencephalographic recordings: a ???small-world??? network?, Neuroscience Letters, vol.355, issue.1-2, pp.25-28, 2004.
DOI : 10.1016/j.neulet.2003.10.063

M. A. Kramer, E. D. Kolaczyk, and H. E. Kirsch, Emergent network topology at seizure onset in humans, Epilepsy Research, vol.79, issue.2-3, pp.173-186, 2008.
DOI : 10.1016/j.eplepsyres.2008.02.002

R. Achard, B. Salvador, J. Whitcher, E. Suckling, and . Bullmore, 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

M. Valencia, J. Martinerie, S. Dupont, and M. Chavez, Dynamic small-world behavior in functional brain networks unveiled by an event-related networks approach, Physical Review E, vol.77, issue.5
DOI : 10.1103/PhysRevE.77.050905
URL : https://hal.archives-ouvertes.fr/hal-00805455

G. Alarcon, J. J. Seoane, C. D. Binnie, M. C. Miguel, J. Juler et al., Origin and propagation of interictal discharges in the acute electrocorticogram. Implications for pathophysiology and surgical treatment of temporal lobe epilepsy, Brain, vol.120, issue.12, pp.2259-2282, 1997.
DOI : 10.1093/brain/120.12.2259

A. Hufnagel, M. Dumpelmann, J. Zentner, O. Schijns, and C. E. Elger, Clinical Relevance of Quantified Intracranial Interictal Spike Activity in Presurgical Evaluation of Epilepsy, Epilepsia, vol.39, issue.4, pp.467-478, 2000.
DOI : 10.1002/ana.410340513

G. J. Ortega, L. Menendez-de-la-prida, R. G. Sola, and J. Pastor, Synchronization Clusters Of Interictal Activity In The Lateral Temporal Cortex Of Epileptic Patients

N. J. Mars, P. M. Thompson, and R. J. Wilkus, Spread of Epileptic Seizure Activity in Humans, Epilepsia, vol.60, issue.1, pp.85-94, 1985.
DOI : 10.1109/TASSP.1981.1163571

M. Saab and J. Gotman, A system to detect the onset of epileptic seizures in scalp EEG, Clinical Neurophysiology, vol.116, issue.2, pp.427-442, 2005.
DOI : 10.1016/j.clinph.2004.08.004

A. Ozkaya and M. Korürek, Estimating short-run and long-run interaction mechanisms in interictal state, Journal of Computational Neuroscience, vol.12, issue.4, pp.177-192, 2010.
DOI : 10.1007/s10827-009-0198-7

G. E. Chatrian, L. Bergamini, M. Dondey, D. W. Klass, M. Lennox-buchthal et al., A Glossary Of Terms Most Commonly Used By Clinical Electroencephalographers, Electroencephalography and Clinical Neurophysiology, vol.372, issue.5, pp.538-548, 1974.

H. Lüders and W. Bingaman, Textbook Of Epilepsy Surgery, Informa UK Ltd, 2008.
DOI : 10.3109/9780203091708

J. Gonzàlez-mart-`-mart-`-inez, T. Srikijvilaikul, D. Nair, and W. E. Bingaman, LONG-TERM SEIZURE OUTCOME IN REOPERATION AFTER FAILURE OF EPILEPSY SURGERY, Neurosurgery, vol.60, issue.5, pp.873-880, 2007.
DOI : 10.1227/01.NEU.0000255438.13871.FA

J. Gotman, Automatic Detection of Seizures and Spikes, Journal of Clinical Neurophysiology, vol.16, issue.2, pp.130-140, 1999.
DOI : 10.1097/00004691-199903000-00005

F. Bartolomei, P. Chauvel, and F. Wendling, Epileptogenicity of brain structures in human temporal lobe epilepsy: a quantified study from intracerebral EEG, Brain, vol.131, issue.7, pp.1818-1830, 2008.
DOI : 10.1093/brain/awn111
URL : https://hal.archives-ouvertes.fr/inserm-00291170

A. K. Roopun, R. D. Traub, T. Baldeweg, M. O. Cunningham, R. G. Whittaker et al., Detecting seizure origin using basic, multiscale population dynamic measures: Preliminary findings, Epilepsy & Behavior, vol.14, issue.1, pp.39-46, 2009.
DOI : 10.1016/j.yebeh.2008.09.008

K. A. Schindler, S. Bialonski, M. T. Horstmann, C. E. Elger, and K. Lehnertz, Evolving functional network properties and synchronizability during human epileptic seizures, Chaos: An Interdisciplinary Journal of Nonlinear Science, vol.18, issue.3, pp.191-197, 2008.
DOI : 10.1063/1.2966112

L. Alonso-nanclares, J. Gonzalez-soriano, J. R. Rodriguez, and J. Defelipe, Gender differences in human cortical synaptic density, Proceedings of the National Academy of Sciences, vol.105, issue.38, pp.14-615, 2008.
DOI : 10.1073/pnas.0803652105

A. Kaplan, S. L. Shishkin, B. E. Brodsky, and B. S. Darkhovsky, Application Of The Change-Point Analysis To The Investigation Of The Brain's Electrical Activity Chapter Nonparametric Statistcal Diagnosis: Problems and Methods, pp.333-388, 2000.

]. H. Berger, ??ber das Elektrenkephalogramm des Menschen, Archiv f??r Psychiatrie und Nervenkrankheiten, vol.87, issue.1, pp.527-570, 1929.
DOI : 10.1007/BF01797193

B. N. Cuffin, Effects of local variations in skull and scalp thickness on EEG's and MEG's, IEEE Transactions on Biomedical Engineering, vol.40, issue.1, pp.42-48, 1993.
DOI : 10.1109/10.204770

O. Foerster and H. Altenburger, Elektrobiologische Vorg??nge an der menschlichen Hirnrinde, Deutsche Zeitschrift f??r Nervenheilkunde, vol.135, issue.5-6, pp.277-88, 1935.
DOI : 10.1007/BF01732786

C. Ajmone-marsan and J. Van-buhen, Epileptiform Activity In Cortical And Subcortical Structures In The Temporal Lobe Of Man, Temporal lobe epilepsy. Springfield, pp.78-108, 1958.

D. R. Nair, R. Burgess, C. C. Mcintyre, and H. Lüders, Chronic subdural electrodes in the management of epilepsy, Clinical Neurophysiology, vol.119, issue.1, pp.11-28, 2008.
DOI : 10.1016/j.clinph.2007.09.117

J. Talairach and J. Bancaud, Stereotaxic Approach to Epilepsy, Progr Neurol Surg, vol.5, pp.297-354, 1973.
DOI : 10.1159/000394343

J. Bancaud and J. Talairach, Methodology Of Stereo EEG Exploration And Surgical Intervention In Epilepsy, Rev Otoneuroophtalmol, vol.45, issue.4, pp.315-328, 1973.

J. Talairach, J. Bancaud, and G. Szikla, Approche Nouvelle De La Neurochirugie De L'Epilepsie. Méthodologie Stérérotaxique Et Résultats Thérapeutiques, Neurochirurgie, vol.20, pp.1-240, 1974.

J. Talairach, J. Bancaud, G. Szikla, A. Bonis, S. Geier et al., New Approach To The Neurosurgery Of Epilepsy Stereotaxic Methodology And Therapeutic Results. 1. Introduction And History, Neurochirurgie, vol.20, pp.1-240, 1974.

F. Bartolomei, M. Guye, M. Gavaret, J. Régis, F. Wendling et al., The Presurgical Evaluation Of Epilepsies, Rev Neurol, vol.158, issue.5

M. Cossu, F. Cardinale, L. Castana, A. Citterio, S. Francione et al., Stereoelectroencephalography in the Presurgical Evaluation of Focal Epilepsy: A Retrospective Analysis of 215 Procedures, Neurosurgery, vol.57, issue.4, pp.706-724, 2005.
DOI : 10.1093/neurosurgery/57.4.706
URL : https://hal.archives-ouvertes.fr/inserm-00390997

. Russo, Stereoelectroencephalography In The Presurgical Evaluation Of Children With Drug-Resistant Focal Epilepsy, J Neurosurg, vol.103, issue.4, pp.333-343, 2005.

D. Cosandier-rimélé, J. Badier, P. Chauvel, and F. Wendling, A Physiologically Plausible Spatio-Temporal Model for EEG Signals Recorded With Intracerebral Electrodes in Human Partial Epilepsy, IEEE Transactions on Biomedical Engineering, vol.54, issue.3, pp.380-388890489, 2006.
DOI : 10.1109/TBME.2006.890489

A. R. Mcintosh, C. L. Grady, L. G. Ungerleider, J. V. Haxby, S. I. Rapoport et al., Network Analysis Of Cortical Visual Pathways Mapped With Pet, J Neurosci, vol.14, issue.2, pp.655-666, 1994.

K. J. Friston, L. Harrison, and W. Penny, Dynamic causal modelling, NeuroImage, vol.19, issue.4, pp.1273-1302, 2003.
DOI : 10.1016/S1053-8119(03)00202-7
URL : https://hal.archives-ouvertes.fr/inserm-00388972

W. D. Penny, K. E. Stephan, A. Mechelli, and K. J. Friston, Modelling functional integration: a comparison of structural equation and dynamic causal models, NeuroImage, vol.23, pp.264-274, 2004.
DOI : 10.1016/j.neuroimage.2004.07.041

L. Lee, K. Friston, and B. Horwitz, Large-scale neural models and dynamic causal modelling, NeuroImage, vol.30, issue.4, pp.1243-1254, 2006.
DOI : 10.1016/j.neuroimage.2005.11.007

O. David, Dynamic Causal Models and Autopoietic Systems, Biological Research, vol.40, issue.4, pp.487-502, 2007.
DOI : 10.4067/S0716-97602007000500010
URL : https://hal.archives-ouvertes.fr/inserm-00381532

O. David, I. Guillemain, S. Saillet, S. Reyt, C. Deransart et al., Identifying Neural Drivers with Functional MRI: An Electrophysiological Validation, PLoS Biology, vol.54, issue.12, pp.2683-2697, 2008.
DOI : 10.1371/journal.pbio.0060315.sd002
URL : https://hal.archives-ouvertes.fr/inserm-00356680

Y. Saito and H. Harashima, Tracking Of Information Within Multichannel EEG Record, Eds) Recent Advances In EEG And EMG Data Processing, pp.133-146, 1981.

R. Cohn and H. S. Leader, Synchronization characteristics of paroxysmal EEG activity, Electroencephalography and Clinical Neurophysiology, vol.22, issue.5, pp.421-428, 1967.
DOI : 10.1016/0013-4694(67)90169-1

G. Carter, Time delay estimation for passive sonar signal processing, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.29, issue.3, pp.463-470, 1981.
DOI : 10.1109/TASSP.1981.1163560

J. Ianniello, Time delay estimation via cross-correlation in the presence of large estimation errors, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.30, issue.6, pp.998-1003, 1982.
DOI : 10.1109/TASSP.1982.1163992

J. Gotman, Measurement of small time differences between EEG channels: Method and application to epileptic seizure propagation, Electroencephalography and Clinical Neurophysiology, vol.56, issue.5, pp.501-514, 1983.
DOI : 10.1016/0013-4694(83)90235-3

V. M. Eguíluz, D. R. Chialvo, G. A. Cecchi, M. Baliki, and A. V. Apkarian, Scale-Free Brain Functional Networks, Physical Review Letters, vol.94, issue.1, p.18102, 2005.
DOI : 10.1103/PhysRevLett.94.018102

L. Amini, C. Jutten, S. Achard, O. David, H. Soltanian-zadeh et al., Directed epileptic network from scalp and intracranial EEG of epileptic patients, 2009 IEEE International Workshop on Machine Learning for Signal Processing, 2009.
DOI : 10.1109/MLSP.2009.5306245
URL : https://hal.archives-ouvertes.fr/hal-00424212

K. Friston, Functional and effective connectivity in neuroimaging: A synthesis, Human Brain Mapping, vol.10, issue.Suppl 2, pp.56-78, 1994.
DOI : 10.1002/hbm.460020107

A. A. Fingelkurts, A. A. Fingelkurts, and S. Kähkönen, Functional connectivity in the brain???is it an elusive concept?, Neuroscience & Biobehavioral Reviews, vol.28, issue.8, pp.827-836, 2005.
DOI : 10.1016/j.neubiorev.2004.10.009

B. Bollobas, Advances In Graph Theory, 1978.

J. Akiyama, Y. Egawa, and H. Enomoto, Graph Theory and Applications (Annals of discrete mathematics), 1988.

J. Xu, Theory and Application of Graphs (Network Theory and Applications, 2003.

M. E. Newman and J. Park, Why social networks are different from other types of networks, Physical Review E, vol.68, issue.3, p.36122, 2003.
DOI : 10.1103/PhysRevE.68.036122

S. H. Strogatz, Exploring complex networks, Nature, vol.84, issue.6825, pp.268-276, 2001.
DOI : 10.1038/35065725

R. K. Albert, R. Albert, and A. Barabási, Statistical mechanics of complex networks, Reviews of Modern Physics, vol.74, issue.1, pp.47-97, 2002.
DOI : 10.1103/RevModPhys.74.47

S. N. Dorogovtsev and J. Mendes, Evolution of networks, Advances in Physics, vol.11, issue.4, pp.1079-1187, 2002.
DOI : 10.1038/35091039

S. Boccaletti, V. Latora, Y. Moreno, M. Chavez, and D. U. Hwang, Complex networks: Structure and dynamics, Physics Reports, vol.424, issue.4-5, pp.4-5, 2006.
DOI : 10.1016/j.physrep.2005.10.009

O. Mason and M. Verwoerd, Graph theory and networks in Biology, IET Systems Biology, vol.1, issue.2, pp.89-119, 2007.
DOI : 10.1049/iet-syb:20060038

C. Stam and J. Reijneveld, Graph theoretical analysis of complex networks in the brain, Nonlinear Biomedical Physics, vol.1, issue.1, p.3, 2007.
DOI : 10.1186/1753-4631-1-3

E. Bullmore and O. Sporns, Complex brain networks: graph theoretical analysis of structural and functional systems, Nature Reviews Neuroscience, vol.8, issue.3, pp.186-98, 1038.
DOI : 10.1371/journal.pone.0002051

V. Latora and M. Marchiori, Economic small-world behavior in weighted networks, The European Physical Journal B - Condensed Matter, vol.32, issue.2, pp.249-263, 2003.
DOI : 10.1140/epjb/e2003-00095-5

J. J. Ansari-asl, F. Bellanger, F. Bartolomei, L. Wendling, and . Senhadji, Time-Frequency Characterization of Interdependencies in Nonstationary Signals: Application to Epileptic EEG, IEEE Transactions on Biomedical Engineering, vol.52, issue.7, pp.1218-1244, 2005.
DOI : 10.1109/TBME.2005.847541
URL : https://hal.archives-ouvertes.fr/inserm-00130426

L. Astolfi, F. Cincotti, D. Mattia, M. Lai, L. Baccala et al., Comparison of different multivariate methods for the estimation of cortical connectivity: simulations and applications to EEG data, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005.
DOI : 10.1109/IEMBS.2005.1615463

G. E. Box and G. Jenkins, Time Series Analysis; Forecasting And Control, 1970.

M. A. Brazier and J. U. Casby, Crosscorrelation and autocorrelation studies of electroencephalographic potentials, Electroencephalography and Clinical Neurophysiology, vol.4, issue.2, pp.201-211, 1952.
DOI : 10.1016/0013-4694(52)90010-2

J. S. Barlow and M. A. Brazier, A note on a correlator for electroencephalographic work, Electroencephalography and Clinical Neurophysiology, vol.6, issue.2, pp.321-325, 1954.
DOI : 10.1016/0013-4694(54)90036-X

K. Kuppusamy, W. Lin, and E. M. Haacke, Statistical assessment of crosscorrelation and variance methods and the importance of electrocardiogram gating in functional magnetic resonance imaging, Magnetic Resonance Imaging, vol.15, issue.2, pp.169-181, 1997.
DOI : 10.1016/S0730-725X(96)00338-4

B. Whitcher, P. Guttorp, and D. Percival, Wavelet analysis of covariance with application to atmospheric time series, Journal of Geophysical Research: Atmospheres, vol.96, issue.D Suppl., pp.14-941, 2000.
DOI : 10.1029/2000JD900110

G. Carter, C. Knapp, and A. Nuttall, Estimation of the magnitude-squared coherence function via overlapped fast Fourier transform processing, IEEE Transactions on Audio and Electroacoustics, vol.21, issue.4, pp.337-344, 1973.
DOI : 10.1109/TAU.1973.1162496

G. Carter, Coherence and time delay estimation, Proceedings of the IEEE, vol.75, issue.2, pp.236-255, 1987.
DOI : 10.1109/PROC.1987.13723

B. P. Van-milligen, E. Sanchez, T. Estrada, C. Hidalgo, B. Branas et al., Wavelet bicoherence: A new turbulence analysis tool, Physics of Plasmas, vol.2, issue.8, pp.3017-3032, 1995.
DOI : 10.1063/1.871199

P. L. Nunez, R. Srinivasan, A. F. Westdorp, R. S. Wijesinghe, D. M. Tucker et al., EEG coherency, Electroencephalography and Clinical Neurophysiology, vol.103, issue.5, pp.499-515, 1997.
DOI : 10.1016/S0013-4694(97)00066-7

J. Lachaux, E. Rodriguez, J. Martinerie, and F. J. Varela, Measuring phase synchrony in brain signals, Human Brain Mapping, vol.28, issue.4, pp.194-208, 1999.
DOI : 10.1002/(SICI)1097-0193(1999)8:4<194::AID-HBM4>3.0.CO;2-C

W. A. Gardner, A unifying view of coherence in signal processing, Signal Processing, vol.29, issue.2, pp.113-140, 1992.
DOI : 10.1016/0165-1684(92)90015-O

J. Lachaux, A. Lutz, D. Rudrauf, D. Cosmelli, M. L. Van-quyen et al., Estimating the time-course of coherence between single-trial brain signals: an introduction to wavelet coherence, Neurophysiologie Clinique/Clinical Neurophysiology, vol.32, issue.3, pp.157-174, 2002.
DOI : 10.1016/S0987-7053(02)00301-5

M. G. Kitzbichler, M. L. Smith, S. R. Christensen, and E. Bullmore, Broadband Criticality of Human Brain Network Synchronization, PLoS Computational Biology, vol.105, issue.3, pp.1-13, 2009.
DOI : 10.1371/journal.pcbi.1000314.t001

P. Tass, M. G. Rosenblum, J. Weule, J. Kurths, A. Pikovsky et al., Phase Locking from Noisy Data: Application to Magnetoencephalography, Physical Review Letters, vol.81, issue.15, pp.3291-3294, 1998.
DOI : 10.1103/PhysRevLett.81.3291

A. Pikovsky, M. Rosenblum, and J. Kurths, PHASE SYNCHRONIZATION IN REGULAR AND CHAOTIC SYSTEMS, International Journal of Bifurcation and Chaos, vol.10, issue.10, pp.2291-2305, 1999.
DOI : 10.1142/S0218127400001481

K. Ansari-asl, L. Senhadji, J. J. Bellanger, and F. Wendling, Quantitative evaluation of linear and nonlinear methods characterizing interdependencies between brain signals, Physical Review E, vol.74, issue.3, p.31916, 2006.
DOI : 10.1103/PhysRevE.74.031916
URL : https://hal.archives-ouvertes.fr/inserm-00129780

F. Mormann, K. Lehnertz, P. David, and C. E. Elger, Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients, Physica D: Nonlinear Phenomena, vol.144, issue.3-4, pp.358-369, 2000.
DOI : 10.1016/S0167-2789(00)00087-7

M. Chavez, M. Besserve, C. Adam, and J. Martinerie, Towards a proper estimation of phase synchronization from time series, Journal of Neuroscience Methods, vol.154, issue.1-2, pp.149-160, 2006.
DOI : 10.1016/j.jneumeth.2005.12.009

D. Gabor, Theory of communication, Journal of the Institution of Electrical Engineers - Part I: General, vol.94, issue.73, pp.442-457
DOI : 10.1049/ji-1.1947.0015

E. Bedrosian, A product theorem for Hilbert transforms, Proceedings of the IEEE, vol.51, issue.5, pp.868-869, 1963.
DOI : 10.1109/PROC.1963.2308

J. J. Brown, Analytic signals and product theorems for Hilbert transforms, IEEE Transactions on Circuits and Systems, vol.21, issue.6, pp.790-792, 1974.
DOI : 10.1109/TCS.1974.1083928

B. Boashash, Estimating and interpreting the instantaneous frequency of a signal. I. Fundamentals, Proceedings of the IEEE, vol.80, issue.4, pp.520-538, 1992.
DOI : 10.1109/5.135376

P. Panter, Modulation, Noise, And Spectral Analysis, 1965.

M. G. Rosenblum, A. S. Pikovsky, and J. Kurths, Phase Synchronization of Chaotic Oscillators, Physical Review Letters, vol.76, issue.11, pp.1804-1807, 1996.
DOI : 10.1103/PhysRevLett.76.1804

N. Delprat, B. Escudie, P. Guillemain, R. Kronland-martinet, P. Tchamitchian et al., Asymptotic wavelet and Gabor analysis: extraction of instantaneous frequencies, IEEE Transactions on Information Theory, vol.38, issue.2, pp.644-664, 1992.
DOI : 10.1109/18.119728
URL : https://hal.archives-ouvertes.fr/hal-01222729

C. E. Shannon, A Mathematical Theory of Communication, Bell System Technical Journal, vol.27, issue.3, pp.379-423, 1948.
DOI : 10.1002/j.1538-7305.1948.tb01338.x

N. Wiener, The Theory Of Prediction, Modern Mathematics for Engineers, 1956.

C. W. Granger, Investigating Causal Relations by Econometric Models and Cross-Spectral Methods, Econometrica, vol.37, pp.424-438, 1969.
DOI : 10.1017/CBO9780511753978.002

P. Ktonas and R. Mallart, Estimation of time delay between EEG signals for epileptic focus localization: statistical error considerations, Electroencephalography and Clinical Neurophysiology, vol.78, issue.2, pp.105-110, 1991.
DOI : 10.1016/0013-4694(91)90109-H

J. Geweke, Measurement of Linear Dependence and Feedback between Multiple Time Series, Journal of the American Statistical Association, vol.54, issue.378, pp.304-313, 1982.
DOI : 10.1080/01621459.1982.10477803

K. Sameshima and L. Baccalaá, Using partial directed coherence to describe neuronal ensemble interactions, Journal of Neuroscience Methods, vol.94, issue.1, pp.93-103, 1999.
DOI : 10.1016/S0165-0270(99)00128-4

E. Baek and W. Brock, A General Test For Nonlinear Granger Causality, Working Paper University of Iowa, Tech. Rep, 1992.

V. Fernandes-de-lima, J. P. Pijn, C. Nunes-filipe, F. Lopes, and . Silva, The role of hippocampal commissures in the interhemispheric transfer of epileptiform afterdischarges in the rat: a study using linear and non-linear regression analysis, Electroencephalography and Clinical Neurophysiology, vol.76, issue.6, pp.520-539, 1990.
DOI : 10.1016/0013-4694(90)90003-3

P. Allen, S. Smith, and C. Scott, Measurement of interhemispheric time differences in generalised spike-and-wave, Electroencephalography and Clinical Neurophysiology, vol.82, issue.1, pp.81-84, 1992.
DOI : 10.1016/0013-4694(92)90185-K

S. J. Schiff, P. So, T. Chang, R. E. Burke, and T. Sauer, Detecting dynamical interdependence and generalized synchrony through mutual prediction in a neural ensemble, Physical Review E, vol.54, issue.6, pp.6708-6724, 1996.
DOI : 10.1103/PhysRevE.54.6708

J. Arnhold, P. Grassberger, K. Lehnertz, and C. E. Elger, A robust method for detecting interdependences: application to intracranially recorded EEG, Physica D: Nonlinear Phenomena, vol.134, issue.4
DOI : 10.1016/S0167-2789(99)00140-2

R. Q. Quian, J. Arnhold, and P. Grassberger, Learning Driver-Response Relationships From Synchronization Patterns, Phys Rev. E, vol.61, pp.5142-5148, 2000.

C. J. Stam and B. W. Van-dijk, Synchronization likelihood: an unbiased measure of generalized synchronization in multivariate data sets, Physica D: Nonlinear Phenomena, vol.163, issue.3-4, pp.236-251, 2002.
DOI : 10.1016/S0167-2789(01)00386-4

D. A. Smirnov and R. G. Andrzejak, Detection of weak directional coupling: Phase-dynamics approach versus state-space approach, Physical Review E, vol.71, issue.3, p.36207, 2005.
DOI : 10.1103/PhysRevE.71.036207

M. Palus, V. Komárek, T. Procházka, Z. Hrncír, and K. Sterbová, Synchronization and information flow in EEGs of epileptic patients, IEEE Engineering in Medicine and Biology Magazine, vol.20, issue.5, pp.65-71, 2001.
DOI : 10.1109/51.956821

. Schiff, Early Seizure Detection, J Clin Neurophysiol, vol.18, issue.3, pp.259-268, 2001.

F. Mormann, T. Kreuz, C. Rieke, R. G. Andrzejak, A. Kraskov et al., On the predictability of epileptic seizures, Clinical Neurophysiology, vol.116, issue.3, pp.569-587, 2005.
DOI : 10.1016/j.clinph.2004.08.025

E. Asano, C. Juhász, A. Shah, S. Sood, and H. T. Chugani, Role of subdural electrocorticography in prediction of long-term seizure outcome in epilepsy surgery, Brain, vol.132, issue.4, pp.1038-1047, 2009.
DOI : 10.1093/brain/awp025

H. M. Hamer, H. H. Morris, E. J. Mascha, M. T. Karafa, W. E. Bingaman et al., Complications of invasive video-EEG monitoring with subdural grid electrodes, Neurology, vol.58, issue.1, pp.97-103, 2002.
DOI : 10.1212/WNL.58.1.97

W. Rutka and . Logan, Complications of invasive subdural grid monitoring in children with epilepsy, J Neurosurg Epileptiform Discharges, vol.98, issue.5, pp.1017-1026, 2003.

G. Alarcon, Electrophysiological aspects of interictal and ictal activity in human partial epilepsy, Seizure, vol.5, issue.1, pp.7-33, 1996.
DOI : 10.1016/S1059-1311(96)80014-8

Y. Lai, W. Van-drongelen, K. Hecox, D. Frim, M. Kohrman et al., Cortical Activation Mapping of Epileptiform Activity Derived from Interictal ECoG Spikes, Epilepsia, vol.82, issue.2, pp.305-314, 2007.
DOI : 10.1016/S1388-2457(03)00194-9

J. Bourien, F. Bartolomei, J. Bellanger, M. Gavaret, P. Chauvel et al., A method to identify reproducible subsets of co-activated structures during interictal spikes. Application to intracerebral EEG in temporal lobe epilepsy, Clinical Neurophysiology, vol.116, issue.2, pp.443-455, 2005.
DOI : 10.1016/j.clinph.2004.08.010

W. Penfield and H. Jasper, EPILEPSY AND THE FUNCTIONAL ANATOMY OF THE HUMAN BRAIN, Southern Medical Journal, vol.47, issue.7
DOI : 10.1097/00007611-195407000-00024

X. Zhang, W. Van-drongelen, K. E. Hecox, V. L. Towle, D. M. Frim et al., High-resolution EEG: Cortical potential imaging of interictal spikes, Clinical Neurophysiology, vol.114, issue.10, pp.1963-1973, 2003.
DOI : 10.1016/S1388-2457(03)00194-9

E. Asano, O. Muzik, A. Shah, C. Juhász, D. C. Chugani et al., Quantitative visualization of ictal subdural EEG changes in children with neocortical focal seizures, Clinical Neurophysiology, vol.115, issue.12, pp.2718-2727, 2004.
DOI : 10.1016/j.clinph.2004.06.020

S. Micheloyannis, E. Pachou, C. J. Stam, M. Vourkas, S. Erimaki et al., Using graph theoretical analysis of multi channel EEG to evaluate the neural efficiency hypothesis, Neuroscience Letters, vol.402, issue.3, pp.273-277, 2006.
DOI : 10.1016/j.neulet.2006.04.006

S. Ponten, F. Bartolomei, and C. Stam, Small-world networks and epilepsy: Graph theoretical analysis of intracerebrally recorded mesial temporal lobe seizures, Clinical Neurophysiology, vol.118, issue.4, pp.918-927, 2007.
DOI : 10.1016/j.clinph.2006.12.002

R. Srinivasan, W. R. Winter, J. Ding, and P. L. Nunez, EEG and MEG coherence: Measures of functional connectivity at distinct spatial scales of neocortical dynamics, Journal of Neuroscience Methods, vol.166, issue.1, pp.41-52, 2007.
DOI : 10.1016/j.jneumeth.2007.06.026

K. Supekar, V. M. Rubin, and M. M. Greicius, Network Analysis of Intrinsic Functional Brain Connectivity in Alzheimer's Disease, PLoS Computational Biology, vol.17, issue.6, p.1000100, 2008.
DOI : 10.1371/journal.pcbi.1000100.s001

S. Pajevic and D. Plenz, Efficient Network Reconstruction from Dynamical Cascades Identifies Small-World Topology of Neuronal Avalanches, PLoS Computational Biology, vol.25, issue.1
DOI : 10.1371/journal.pcbi.1000271.s001

S. Grun, Data-Driven Significance Estimation for Precise Spike Correlation, Journal of Neurophysiology, vol.101, issue.3, pp.1126-1140, 2009.
DOI : 10.1152/jn.00093.2008

P. H. Westfall and S. S. Young, Resampling-Based Multiple Testing: Examples And Methods For P-Value Adjustment, 1993.

K. S. Pollard and M. J. Van-der-laan, Resampling-Based Multiple Testing: Asymptotic Control Of Type I Error And Applications To Gene Expression Data, Biostatistics Working Paper Series, vol.121, 2003.

M. Kaminski and K. Blinowska, A new method of the description of the information flow in the brain structures, Biological Cybernetics, vol.64, issue.3, pp.203-210, 1991.
DOI : 10.1007/BF00198091

M. Kaminski, M. Ding, W. Truccolo, and S. Bressler, Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance, Biological Cybernetics, vol.85, issue.2, pp.145-157, 2001.
DOI : 10.1007/s004220000235

L. Amini, S. Achard, C. Jutten, H. Soltanian-zadeh, G. A. Hossein-zadeh et al., Sparse Differential Connectivity Graph of Scalp EEG for Epileptic Patients, ESANN2009, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00448557

K. Deb, Multi-objective Evolutionary Algorithms: Introducing Bias Among Pareto-optimal Solutions, Kanpur Genetic Algorithms Lab (KanGal), 1999.
DOI : 10.1007/978-3-642-18965-4_10
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.34.6063

J. Branke, K. Deb, K. Miettinen, and R. Slowinski, Multiobjective Optimization, Interactive And Evolutionary Approaches, 2008.

J. Triesch, C. Von, and . Malsburg, Democratic Integration: Self-Organized Integration of Adaptive Cues, Neural Computation, vol.28, issue.9, pp.2049-2074, 2001.
DOI : 10.1117/1.601624

A. R. Mcintosh, Mapping Cognition to the Brain Through Neural Interactions, Memory, vol.17, issue.5-6, pp.523-548, 1999.
DOI : 10.1016/S0166-2236(97)01133-8

E. R. John, A Field Theory of Consciousness, Consciousness and Cognition, vol.10, issue.2, pp.184-213, 2001.
DOI : 10.1006/ccog.2001.0508

D. Lehmann, Multichannel topography of human alpha EEG fields, Electroencephalography and Clinical Neurophysiology, vol.31, issue.5, pp.439-449, 1971.
DOI : 10.1016/0013-4694(71)90165-9

R. Pascual-marqui and C. M. Lehmann, Segmentation of brain electrical activity into microstates: model estimation and validation, IEEE Transactions on Biomedical Engineering, vol.42, issue.7, pp.658-665, 1995.
DOI : 10.1109/10.391164

D. Lehmann, W. K. Strik, B. Henggeler, T. Koenig, and M. Koukkou, Brain electric microstates and momentary conscious mind states as building blocks of spontaneous thinking: I. Visual imagery and abstract thoughts, International Journal of Psychophysiology, vol.29, issue.1, pp.1-11, 1998.
DOI : 10.1016/S0167-8760(97)00098-6

J. Fell, A. Kaplan, B. Darkhovsky, and J. Röschke, EEG Analysis With Nonlinear Deterministic And Stochastic Methods: A Combined Strategy, Acta Neurobiol Exp (Wars), vol.60, issue.1, pp.87-108, 2000.

D. Van-de-ville, J. Britz, and C. M. Michel, EEG microstate sequences in healthy humans at rest reveal scale-free dynamics, Proceedings of the National Academy of Sciences, pp.1-6, 2010.
DOI : 10.1073/pnas.1007841107

D. Brunet, M. M. Murray, and C. M. Michel, Spatiotemporal Analysis of Multichannel EEG: CARTOOL, Computational Intelligence and Neuroscience, vol.74, issue.2, pp.1-15, 2011.
DOI : 10.1109/TBME.2008.919885

X. Li, J. Polygiannakis, P. Kapiris, K. Eftaxias, and X. Yao, Fractal spectral analysis of pre-epileptic seizures in terms of criticality, Journal of Neural Engineering, vol.2, issue.2, pp.11-16, 2005.
DOI : 10.1088/1741-2560/2/2/002

K. Indiradevi, E. Elias, P. Sathidevi, S. D. Nayak, and K. Radhakrishnan, A multi-level wavelet approach for automatic detection of epileptic spikes in the electroencephalogram, Computers in Biology and Medicine, vol.38, issue.7, pp.805-816, 2008.
DOI : 10.1016/j.compbiomed.2008.04.010

T. Conlon, H. Ruskin, and M. Crane, Seizure characterisation using frequency-dependent multivariate dynamics, Computers in Biology and Medicine, vol.39, issue.9, pp.760-767, 2009.
DOI : 10.1016/j.compbiomed.2009.06.003

I. Clark, R. Biscay, M. Echeverría, and T. Virués, Multiresolution decomposition of non-stationary eeg signals: A preliminary study, Computers in Biology and Medicine, vol.25, issue.4, pp.373-382, 1995.
DOI : 10.1016/0010-4825(95)00014-U

B. Whitcher, Assessing Nonstationary Time Series Using Wavelets, 1998.

L. Senhadji and F. Wendling, Epileptic transient detection: wavelets and time-frequency approaches, Neurophysiologie Clinique/Clinical Neurophysiology, vol.32, issue.3, pp.175-192, 2002.
DOI : 10.1016/S0987-7053(02)00304-0
URL : https://hal.archives-ouvertes.fr/inserm-00130050

H. Adeli, Z. Zhou, and N. Dadmehr, Analysis of EEG records in an epileptic patient using wavelet transform, Journal of Neuroscience Methods, vol.123, issue.1, pp.69-87, 2003.
DOI : 10.1016/S0165-0270(02)00340-0

C. Yamaguchi, Fourier and wavelet analyses of normal and epileptic electroencephalogram (EEG), First International IEEE EMBS Conference on Neural Engineering, 2003. Conference Proceedings., pp.406-409, 2003.
DOI : 10.1109/CNE.2003.1196847

G. Ouyang, X. Li, Y. Li, and X. Guan, Application of wavelet-based similarity analysis to epileptic seizures prediction, Computers in Biology and Medicine, vol.37, issue.4, pp.430-437, 2007.
DOI : 10.1016/j.compbiomed.2006.08.010

I. Daubechies, Orthonormal bases of compactly supported wavelets, Communications on Pure and Applied Mathematics, vol.34, issue.7, pp.909-9963160410705, 1988.
DOI : 10.1002/cpa.3160410705

D. B. Percival and H. O. Mofjeld, Analysis of Subtidal Coastal Sea Level Fluctuations Using Wavelets, Journal of the American Statistical Association, vol.93, issue.439, pp.868-880, 1997.
DOI : 10.1080/01621459.1997.10474042

A. Na¨?tna¨?t-ali, Advanced Biosignal Processing, 2009.

V. Menon, W. J. Freeman, B. A. Cutillo, J. E. Desmond, M. F. Ward et al., Spatio-temporal correlations in human gamma band electrocorticograms, Electroencephalography and Clinical Neurophysiology, vol.98, issue.2, pp.89-102, 1996.
DOI : 10.1016/0013-4694(95)00206-5

A. G. Matloub, J. S. Hudetz, and . Hyde, Resting-State Functional Connectivity of the Rat Brain, Magnetic Resonance in Medicine, vol.59, pp.1021-1029, 2008.

J. Gotman, Interhemispheric interactions in seizures of focal onset: data from human intracranial recordings, Electroencephalography and Clinical Neurophysiology, vol.67, issue.2, pp.120-133, 1987.
DOI : 10.1016/0013-4694(87)90034-4

J. P. Lieb, K. Hoque, C. E. Skomer, and X. Song, Inter-hemispheric propagation of human mesial temporal lobe seizures: a coherence/phase analysis, Electroencephalography and Clinical Neurophysiology, vol.67, issue.2, pp.101-119, 1987.
DOI : 10.1016/0013-4694(87)90033-2

G. Fein, J. Raz, F. F. Brown, and E. L. Merrin, Common reference coherence data are confounded by power and phase effects, Electroencephalography and Clinical Neurophysiology, vol.69, issue.6, pp.581-584, 1988.
DOI : 10.1016/0013-4694(88)90171-X

R. B. Duckrow and S. S. Spencer, Regional coherence and the transfer of ictal activity during seizure onset in the medial temporal lobe, Electroencephalography and Clinical Neurophysiology, vol.82, issue.6, pp.415-422, 1992.
DOI : 10.1016/0013-4694(92)90046-K

V. L. Towle, R. K. Carder, L. Khorasani, and D. Lindberg, Electrocorticographic Coherence Patterns, Journal of Clinical Neurophysiology, vol.16, issue.6, pp.528-547, 1999.
DOI : 10.1097/00004691-199911000-00005

B. Guntekin, E. Saatci, and G. Yener, Decrease of evoked delta, theta and alpha coherences in Alzheimer patients during a visual oddball paradigm, Brain Research, vol.1235, pp.109-116, 2008.
DOI : 10.1016/j.brainres.2008.06.028

J. P. Pijn, P. C. Vijn, F. H. Da-silva, W. V. Boas, and W. Blanes, Localization of epileptogenic foci using a new signal analytical approach, Neurophysiologie Clinique/Clinical Neurophysiology, vol.20, issue.1, pp.1-11, 1990.
DOI : 10.1016/S0987-7053(05)80165-0

G. Bettus, F. Wendling, M. Guye, L. Valton, J. R´egis et al., Enhanced EEG functional connectivity in mesial temporal lobe epilepsy, Epilepsy Research, vol.81, issue.1, pp.58-68, 2008.
DOI : 10.1016/j.eplepsyres.2008.04.020
URL : https://hal.archives-ouvertes.fr/inserm-00291171

M. Shen, L. Sun, K. Ting, and F. Chan, The Investigation Of Time-Varying Synchrony Of EEG During Sentence Learning Using Wavelet Analysis, Neural Information Processing Proceedings of the 9th International Conference on, pp.92-95, 2002.

I. Gelfand and A. Yaglom, Calculation Of Amount Of Information About A Random Function Contained In Another Such Function, Amer. Math. Soc. Trans, vol.12, pp.199-246, 1959.

N. Mars and G. Van-arragon, Time delay estimation in non-linear systems using average amount of mutual information analysis, Signal Processing, vol.4, issue.2-3, pp.139-153, 1982.
DOI : 10.1016/0165-1684(82)90017-2

R. Moddemeijer, A statistic to estimate the variance of the histogram-based mutual information estimator based on dependent pairs of observations, Signal Processing, vol.75, issue.1, pp.51-63, 1999.
DOI : 10.1016/S0165-1684(98)00224-2

A. Kraskov, H. Stögbauer, and P. Grassberger, Estimating mutual information, Physical Review E, vol.69, issue.6, p.66138, 2004.
DOI : 10.1103/PhysRevE.69.066138

J. F. Alonso, M. A. Mananas, S. Romero, J. Riba, M. Barbanoj et al., Connectivity analysis of EEG under drug therapy, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.22-26, 2007.
DOI : 10.1109/IEMBS.2007.4353768

L. Astolfi, F. Cincotti, D. Mattia, F. De-vico-fallani, A. Tocci et al., Tracking the Time-Varying Cortical Connectivity Patterns by Adaptive Multivariate Estimators, IEEE Transactions on Biomedical Engineering, vol.55, issue.3, pp.902-915, 2008.
DOI : 10.1109/TBME.2007.905419

F. Babiloni, L. Astolfi, F. Cincotti, D. Mattia, A. Tocci et al., Cortical Activity and Connectivity of Human Brain during the Prisoner's Dilemma: an EEG Hyperscanning Study, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.22-26, 2007.
DOI : 10.1109/IEMBS.2007.4353452

L. A. Baccalá and K. Sameshima, Partial directed coherence: a new concept in neural structure determination, Biological Cybernetics, vol.84, issue.6, pp.463-474, 2001.
DOI : 10.1007/PL00007990

B. Pompe, Measuring statistical dependences in a time series, Journal of Statistical Physics, vol.36, issue.3-4, pp.587-610, 1993.
DOI : 10.1007/BF01054341

K. S. Pollard and M. J. Van-der-laan, Choice of a null distribution in resampling-based multiple testing, Third International Conference on Multiple Comparisons, pp.85-100, 2004.
DOI : 10.1016/j.jspi.2003.07.019

P. H. Westfall and J. F. Troendle, Multiple Testing with Minimal Assumptions, Biometrical Journal, vol.12, issue.5, pp.745-755, 2008.
DOI : 10.1002/bimj.200710456

D. Draper, J. Hodges, C. L. Mallows, and D. Pregibon, Exchangeability and Data Analysis, Journal of the Royal Statistical Society. Series A (Statistics in Society), vol.156, issue.1, pp.9-28, 1993.
DOI : 10.2307/2982858

S. Holm, A Simple Sequentially Rejective Multiple Test Procedure, J. Stat, vol.6, pp.65-70, 1979.

K. Deb, M. Mohan, and S. Mishra, Evaluating the ??-Domination Based Multi-Objective Evolutionary Algorithm for a Quick Computation of Pareto-Optimal Solutions, Evolutionary Computation, vol.26, issue.4, pp.501-525, 2005.
DOI : 10.1109/TEVC.2003.810758

K. Deb and H. Gupta, Introducing Robustness in Multi-Objective Optimization, Evolutionary Computation, vol.14, issue.4, pp.463-494, 2006.
DOI : 10.1109/4235.661550

P. Kahane, P. Ryvlin, D. Hoffmann, L. Minotti, and A. L. Benabid, From Hypothalamic Hamartoma To Cortex: What Can Be Learnt From Depth Recordings And Stimulation?, Epileptic Disord, vol.5, issue.4, pp.205-217, 2003.

H. P. Zaveri, R. B. Duckrow, and S. S. Spencer, The effect of a scalp reference signal on coherence measurements of intracranial electroencephalograms, Clinical Neurophysiology, vol.111, issue.7, pp.1293-1299, 2000.
DOI : 10.1016/S1388-2457(00)00321-7

C. Tallon-baudry, Oscillatory synchrony and human visual cognition, Journal of Physiology-Paris, vol.97, issue.2-3, pp.355-363, 2003.
DOI : 10.1016/j.jphysparis.2003.09.009

J. D. Olden and B. D. Neffd, Cross-correlation bias in lag analysis of aquatic time series, Marine Biology, vol.138, issue.5, pp.1063-1070, 2001.
DOI : 10.1007/s002270000517

O. David, L. Harrison, and K. J. Friston, Modelling event-related responses in the brain, NeuroImage, vol.25, issue.3, pp.756-770, 2005.
DOI : 10.1016/j.neuroimage.2004.12.030
URL : https://hal.archives-ouvertes.fr/inserm-00391142

T. Blauwblomme, P. Kahane, L. Minotti, F. Grouiller, A. Krainik et al., Multimodal imaging reveals the role of ?? activity in eating-reflex seizures, Journal of Neurology, Neurosurgery & Psychiatry, vol.82, issue.10
DOI : 10.1136/jnnp.2010.212696
URL : https://hal.archives-ouvertes.fr/inserm-00612950

P. Chauvel, E. Landré, S. Trottier, J. P. Vignel, A. Biraben et al., Electrical Stimulation With Intracerebral Electrodes To Evoke Seizures, Adv Neurol, vol.63, pp.115-121, 1993.

P. Kahane, L. Tassi, S. Francione, D. Hoffmann, G. L. Russo et al., Manifestations ??lectrocliniques induites par la stimulation ??lectrique intrac??r??brale par ??chocs dans les ??pilepsies temporales, Neurophysiologie Clinique/Clinical Neurophysiology, vol.23, issue.4, pp.305-326, 1993.
DOI : 10.1016/S0987-7053(05)80123-6

M. Palu?, V. Komárek, Z. Hrn?í?, and K. St?rbová, Synchronization as adjustment of information rates: Detection from bivariate time series, Physical Review E, vol.63, issue.4, pp.0-462, 2001.
DOI : 10.1103/PhysRevE.63.046211

P. J. Franaszczuk, K. J. Blinowska, and M. Kowalczyk, The application of parametric multichannel spectral estimates in the study of electrical brain activity, Biological Cybernetics, vol.17, issue.Suppl. III, pp.239-247, 1985.
DOI : 10.1007/BF00337149

M. Chavez, M. L. Van-quyen, V. Navarro, M. Baulac, and J. Martinerie, Spatio-temporal dynamics prior to neocortical seizures: amplitude versus phase couplings, IEEE Transactions on Biomedical Engineering, vol.50, issue.5, pp.571-583, 2003.
DOI : 10.1109/TBME.2003.810696

L. Astolfi, F. De-vico-fallani, F. Cincotti, D. Mattia, M. G. Marciani et al., Imaging functional brain connectivity patterns from high-resolution EEG and fMRI via graph theory, Psychophysiology, vol.163, issue.6, pp.880-893, 2007.
DOI : 10.1037//0894-4105.11.3.421

D. Mantini, S. Cugini, G. L. Romani, and C. D. Gratta, Fusion of EEG and fMRI for the investigation of functional connectivity during a visual oddball task, 2007 Joint Meeting of the 6th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging, pp.373-376, 2007.
DOI : 10.1109/NFSI-ICFBI.2007.4387779

D. Percival and A. Walden, Wavelet Methods for Time Series Analysis, 2000.

L. Hudgings, C. Friehe, and M. E. Mayer, Wavelet transforms and atmopsheric turbulence, Physical Review Letters, vol.71, issue.20, pp.3279-3282, 1993.
DOI : 10.1103/PhysRevLett.71.3279

L. Amini, R. Sameni, C. Jutten, G. A. Hossein-zadeh, and H. Soltanian-zadeh, MR Artifact Reduction in the Simultaneous Acquisition of EEG and fMRI of Epileptic Patients, EUSIPCO08, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00323479

F. Wendling, A. Hernandez, J. Bellanger, P. Chauvel, and F. Bartolomei, Interictal To Ictal Transition In Human Temporal Lobe Epilepsy: Insights From A Computational Model Of Intracerebral EEG, J Clin Neurophysiol, vol.22, issue.5, pp.343-356, 2005.
URL : https://hal.archives-ouvertes.fr/inserm-00147326

D. Cosandier-rimélé, J. Badier, P. Chauvel, and F. Wendling, A Physiologically Plausible Spatio-Temporal Model for EEG Signals Recorded With Intracerebral Electrodes in Human Partial Epilepsy, IEEE Transactions on Biomedical Engineering, vol.54, issue.3, pp.380-388, 2007.
DOI : 10.1109/TBME.2006.890489

M. Negishi, B. I. Pinus, A. B. Pinus, and R. T. Constable, Origin of the Radio Frequency Pulse Artifact in Simultaneous EEG-fMRI Recording: Rectification at the Carbon-Metal Interface, IEEE Transactions on Biomedical Engineering, vol.54, issue.9, pp.1725-1727, 2007.
DOI : 10.1109/TBME.2007.891940

P. Xu, H. Chen, Z. Liu, and D. Yao, A New Method Based on Sparse Component Decomposition to Remove MRI Artifacts in the Continuous EEG Recordings, Proc. of the 27th Annu. Conf., Shanghai (China), 2005.

M. Jing and S. Sanei, Scanner Artifact Removal in Simultaneous EEG-fMRI for Epileptic Seizure Prediction, 18th International Conference on Pattern Recognition (ICPR'06), pp.722-725, 2006.
DOI : 10.1109/ICPR.2006.1026

X. Wan, K. Iwata, J. Riera, M. Kitamura, and R. Kawashima, Artifact reduction for simultaneous EEG/fMRI recording: Adaptive FIR reduction of imaging artifacts, Clinical Neurophysiology, vol.117, issue.3, pp.681-692, 2006.
DOI : 10.1016/j.clinph.2005.07.025

R. Sameni, C. Jutten, and M. Shamsollahi, Multichannel Electrocardiogram Decomposition Using Periodic Component Analysis, IEEE Transactions on Biomedical Engineering, vol.55, issue.8, pp.1935-1940, 2008.
DOI : 10.1109/TBME.2008.919714
URL : https://hal.archives-ouvertes.fr/hal-00306449

L. Parra and P. Sajda, Blind Source Separation via Generalized Eigenvalue Decomposition, Journal of Machine Learning Research, pp.1261-1269, 2003.

L. Tong, R. Liu, V. Soon, and Y. Huang, Indeterminacy and identifiability of blind identification, IEEE Transactions on Circuits and Systems, vol.38, issue.5, pp.499-509, 1991.
DOI : 10.1109/31.76486

G. Strang, Linear Algebra and Its Applications, 1988.

G. R. Arce, Nonlinear Signal Processing: A Statistical Approach, 2004.
DOI : 10.1002/0471691852

R. Sameni and G. Inp-grenoble, Removing ECG Contaminants from Multichannel Recordings by Deflation, Tech. Rep, 2007.

A. Barabási and R. Albert, Emergence of Scaling in Random Networks, Science, vol.286, issue.5439, pp.509-512, 1999.

M. J. Alava and S. N. Dorogovtsev, Complex networks created by aggregation, Physical Review E, vol.71, issue.3, p.36107, 2005.
DOI : 10.1103/PhysRevE.71.036107
URL : http://arxiv.org/abs/cond-mat/0406607

H. Abdi, Bonferroni And Sidak Corrections For Multiple Comparisons Encyclopedia of Measurement and Statistics, 2007.

Z. Sidak, Rectangular Confidence Regions for the Means of Multivariate Normal Distributions, Journal of the American Statistical Association, vol.62, issue.318, pp.626-633, 1967.
DOI : 10.2307/2283989

J. W. Tukey, Some thoughts on clinical trials, especially problems of multiplicity, Science, vol.198, issue.4318, pp.679-684, 1977.
DOI : 10.1126/science.333584

M. R. Leadbetter, G. Lindgren, and H. Rootzen, Extremes And Related Properties Of Random Sequences And Processes, 1983.
DOI : 10.1007/978-1-4612-5449-2