Hidden Markov chain modeling for epileptic networks identification

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2013, Pages 4354-4357

  Le Cam, Steven ^a   Louis Dorr, Valerie ^a   Maillard, Louis ^a,b  

^a UNIVERSITÉ DE LORRAINE   (France)

^b UNIVERSITY HOSPITAL OF NANCY   (France)

Author keywords

Bayesian Approach; Hidden Markov Chain; Network Inference; Stereo EEG; Temporal Lobe Epilepsy

Indexed keywords

BAYESIAN APPROACHES; HIDDEN MARKOV CHAINS; NETWORK INFERENCE; STEREO-EEG; TEMPORAL LOBE EPILEPSY;

BAYESIAN NETWORKS; BRAIN; ELECTROENCEPHALOGRAPHY; ERRORS; LEARNING SYSTEMS; NEUROPHYSIOLOGY;

SIGNAL THEORY;

ALGORITHM; BRAIN; COMPUTER ASSISTED DIAGNOSIS; ELECTROENCEPHALOGRAPHY; EPILEPSY, TEMPORAL LOBE; HUMAN; PATHOPHYSIOLOGY; PROBABILITY; PROCEDURES; SEIZURES; WAVELET ANALYSIS;

ALGORITHMS; BRAIN; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; EPILEPSY, TEMPORAL LOBE; HUMANS; MARKOV CHAINS; SEIZURES; WAVELET ANALYSIS;

EID: 84886525180     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2013.6610510     Document Type: Conference Paper

References (14)

1. 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, no. 7, pp. 1818-1830, 2008.
2. F. Wendling, P. Chauvel, A. Biraben, and F. Bartolomei, "From intracerebral eeg signals to brain connectivity: identification of epileptogenic networks in partial epilepsy, " Frontiers in systems neuroscience, vol. 4, 2010.
3. E. Pereda, R. Quiroga, and J. Bhattacharya, "Nonlinear multivariate analysis of neurophysiological signals, " Progress in neurobiology, vol. 77, no. 1-2, pp. 1-37, 2005.
4. M. Kramer, E. Kolaczyk, and H. Kirsch, "Emergent network topology at seizure onset in humans, " Epilepsy research, vol. 79, no. 2, pp. 173-186, 2008.
5. K. Ansari-Asl, J. Bellanger, F. Bartolomei, F. Wendling, and L. Senhadji, "Time-frequency characterization of interdependencies in nonstationary signals: Application to epileptic eeg, " Biomedical Engineering, IEEE Transactions on, vol. 52, no. 7, pp. 1218-1226, 2005.
6. L. Amini, C. Jutten, S. Achard, O. David, H. Soltanian-Zadeh, G. Hossein-Zadeh, P. Kahane, L. Minotti, and L. Vercueil, "Directed differential connectivity graph of interictal epileptiform discharges, " Biomedical Engineering, IEEE Transactions on, vol. 58, no. 4, pp. 884-893, 2011.
7. 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, no. 4, pp. 918-927, 2007.
8. Y. Ji, C. Wu, P. Liu, J. Wang, and K. Coombes, "Applications of betamixture models in bioinformatics, " Bioinformatics, vol. 21, no. 9, pp. 2118-2122, 2005.
9. L. Baum, T. Petrie, G. Soules, and N. Weiss, "A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains, " The Annals of Mathematical Statistics, pp. 164- 171, 1970.
10. W. Pieczynski, "Champs de Markov cach́es et estimation conditionnelle it́erative, " Traitement du Signal, vol. 11, no. 2, pp. 141-153, 1994.
11. M. Evans, N. Hastings, and B. Peacock, Statistical distributions. Wiley-Interscience, 2000, ch. 5: "Beta distribution".
12. L. Maillard, J. Vignal, M. Gavaret, M. Guye, A. Biraben, A. McGonigal, P. Chauvel, and F. Bartolomei, "Semiologic and electrophysiologic correlations in temporal lobe seizure subtypes, " Epilepsia, vol. 45, no. 12, pp. 1590-1599, 2004.
13. F. Wendling, J. Badier, P. Chauvel, and J. Coatrieux, "A method to quantify invariant information in depth-recorded epileptic seizures, " Electroencephalography and clinical neurophysiology, vol. 102, no. 6, pp. 472-485, 1997.
14. M. Witter and F. Wouterlood, "The parahippocampal region, organization and role in cognitive function, " Oxford University Press, 2002.