SEIZURES | Seizure Prediction

Encyclopedia of Basic Epilepsy Research

Volumn , Issue , 2009, Pages 1314-1320

  Lehnertz, K ^a  

^a UNIVERSITY OF BONN   (Germany)

Author keywords

Anticipation; EEG; Forecasting; Ictogenesis; Nonlinear dynamics; Prediction; Preictal; Seizure; Statistical validation; Therapeutic antiepileptic devices; Warning

Indexed keywords

EID: 85029110073     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-012373961-2.00115-6     Document Type: Chapter

References (17)

1. J. Engel Jr and T.A. Pedley (2007) Epilepsy: A Comprehensive Textbook. 2nd edn. Philadelphia: Lippincott Williams & Wilkins
2. H. Kantz and T. Schreiber (2003) Nonlinear Time Series Analysis. Cambridge, UK: Cambridge University Press
3. K. Lehnertz, M. Le Van Quyen and B. Litt (2007) Seizure prediction. J. Engel, Jr,T.A. Pedley (Eds) Epilepsy: A Comprehensive Textbook 2nd edn. Philadelphia: Lippincott Williams & Wilkins
4. W.G. Lennox (1946) Science and Seizures. New York: Harper
5. F.H. Lopes da Silva, W. Blanes, S.N. Kalitzin, et al. (2003) Epilepsies as dynamical diseases of brain systems: Basic models of the transition between normal and epileptic activity. Epilepsia 44(supplement 12), 72-83.
6. F. Mormann, R.G. Andrzejak, C.E. Elger and K. Lehnertz (2007) Seizure prediction: The long and winding road. Brain 130 314-333.
7. F. Mormann, T. Kreuz, C. Rieke, et al. (2005) On the predictability of epileptic seizures. Clinical Neurophysiology 166 569-587.
8. M. Morrell (2006) Brain stimulation for epilepsy: Can scheduled or responsive neurostimulation stop seizures? Current Opinion in Neurology 19 164-168.
9. E. Niedermeyer and F. Lopes da Silva (2004) Electroencephalography: Basic Principles, Clinical Applications, and Related Fields. 5th edn. Philadelphia: Lippincott Williams & Wilkins
10. A. Pikovsky, M. Rosenblum and J. Kurths (2001) Synchronization: A Universal Concept in Nonlinear Sciences. Cambridge, UK: Cambridge University Press
11. C.J. Stam (2005) Nonlinear dynamical analysis of EEG and MEG: Review of an emerging field. Clinical Neurophysiology 116 2266-2301.
12. F. Wendling (2005) Neurocomputational models in the study of epileptic phenomena. Journal of Clinical Neurophysiology 22 285-356.
13. http://www.mpipks-dresden.mpg.de/∼tisean – A software project for the analysis of time series with methods based on the theory of nonlinear deterministic dynamical systems
14. http://en.wikipedia.org/wiki/Computational_neuroscience – A very complete overview of the rapidly growing field of computational neuroscinece with many links to standard text books and review articles, software tolls, journals, conferences, and research groups
15. http://www.scholarpedia.org/article/Encyclopedia_of_Computational_Neuroscience – Scholarpedia is a peer-reviewed encyclopedia written by the leading experts in their respective fields. It does not publish “research” or “position” papers, but rather “living reviews” that will be maintained by the future generation of experts via the process of curatorship
16. http://www.scholarpedia.org/article/Encyclopedia_of_Dynamical_Systems – The above mentioned articles/links provide excellent overviews of the diverse fields needed to improve understanding of epileptic phenomena
17. http://www.scholarpedia.org/article/Encyclopedia_of_Computational_Intelligence – An understandable and useful encyclopedic reference for scholars of different levels, highly recommended