Preictal dynamics of EEG complexity in intracranially recorded epileptic seizure: a case report
Jazyk angličtina Země Spojené státy americké Médium print
Typ dokumentu kazuistiky, časopisecké články, práce podpořená grantem
PubMed
25415671
PubMed Central
PMC4616341
DOI
10.1097/md.0000000000000151
PII: 00005792-201411030-00009
Knihovny.cz E-zdroje
- MeSH
- elektroencefalografie * metody MeSH
- epilepsie patofyziologie MeSH
- lidé MeSH
- mladý dospělý MeSH
- Check Tag
- lidé MeSH
- mladý dospělý MeSH
- mužské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- kazuistiky MeSH
- práce podpořená grantem MeSH
Recent findings suggest that neural complexity reflecting a number of independent processes in the brain may characterize typical changes during epileptic seizures and may enable to describe preictal dynamics. With respect to previously reported findings suggesting specific changes in neural complexity during preictal period, we have used measure of pointwise correlation dimension (PD2) as a sensitive indicator of nonstationary changes in complexity of the electroencephalogram (EEG) signal. Although this measure of complexity in epileptic patients was previously reported by Feucht et al (Applications of correlation dimension and pointwise dimension for non-linear topographical analysis of focal onset seizures. Med Biol Comput. 1999;37:208-217), it was not used to study changes in preictal dynamics. With this aim to study preictal changes of EEG complexity, we have examined signals from 11 multicontact depth (intracerebral) EEG electrodes located in 108 cortical and subcortical brain sites, and from 3 scalp EEG electrodes in a patient with intractable epilepsy, who underwent preoperative evaluation before epilepsy surgery. From those 108 EEG contacts, records related to 44 electrode contacts implanted into lesional structures and white matter were not included into the experimental analysis.The results show that in comparison to interictal period (at about 8-6 minutes before seizure onset), there was a statistically significant decrease in PD2 complexity in the preictal period at about 2 minutes before seizure onset in all 64 intracranial channels localized in various brain sites that were included into the analysis and in 3 scalp EEG channels as well. Presented results suggest that using PD2 in EEG analysis may have significant implications for research of preictal dynamics and prediction of epileptic seizures.
Zobrazit více v PubMed
Babloyantz A, Destexhe A. Low-dimensional chaos in an instance of epilepsy. Proc Natl Acad Sci USA. 1986;83:3513–3517. PubMed PMC
Stam CJ. Nonlinear dynamical analysis of EEG and MEG: review of an emerging field. Clin Neurophysiol. 2005;116:2266–2301. PubMed
Edelman GM. Naturalizing consciousness: a theoretical framework. Proc Natl Acad Sci USA. 2003;29:5520–5524. PubMed PMC
Sporns O, Tononi G, Edelman GM. Theoretical neuroanatomy: relating anatomical and functional connectivity in graphs and cortical connection matrices. Cereb Cortex. 2000;10:127–141. PubMed
Seth AK, Izhikevich E, Reeke GN, Edelman GM. Theories and measures of consciousness: an extended framework. Proc Natl Acad Sci USA. 2006;103:10799–10804. PubMed PMC
van Drongelen W, Lee HC, Hereld M, et al. Emergent epileptiform activity in neural networks with weak excitatory synapses. IEEE Trans Neural Syst Rehabil Eng. 2005;13:236–241. PubMed
Varela F, Lachaux JP, Rodriguez E, Martinerie J. The brainweb: phase synchronization and large-scale integration. Nat Rev Neurosci. 2001;2:229–239. PubMed
Feucht M, Moller U, Witte H, et al. Applications of correlation dimension and pointwise dimension for non-linear topographical analysis of focal onset seizures. Med Biol Comput. 1999;37:208–217. PubMed
Hughes JR. Progress in predicting seizure episodes with nonlinear methods. Epilepsy Behav. 2008;12:128–135. PubMed
Jouny CC, Bergey GK, Franaszczuk PJ. Partial seizures are associated with early increases in signal complexity. Clin Neurophysiol. 2010;121:7–13. PubMed PMC
Lehnertz K, Elger CE. Spatio-temporal dynamics of the primary epileptogenic area in temporal lobe epilepsy characterized by neuronal complexity loss. Electroencephalogr Clin Neurophysiol. 1995;95:108–117. PubMed
Talairach J, Szikla G, Tournoux P, et al. Atlas d’Anatomie Stéréotaxique du Telencephale. Paris, France: Masson; 1967.
Kantz H, Schreiber T. Nonlinear Time Series Analysis. Cambridge, MA: Cambridge University Press; 1997.
Skinner JE, Pratt CM, Vybiral T. A reduction in the correlation dimension of heartbeat intervals precedes imminent ventricular fibrillation in human subjects. Am Heart J. 1993;125:731–743. PubMed
Lehnertz K, Elger CE. Neuronal complexity loss in temporal lobe epilepsy: effects of carbamazepine on the dynamics of the epileptic focus. Electroenceph Clin Neurophysiol. 1997;103:376–380. PubMed