A novel spatiotemporal analysis of peri-ictal spiking to probe the relation of spikes and seizures in epilepsy

Document Type

Article

Abstract

The relation between epileptic spikes and seizures is an important but still unresolved question in epilepsy research. Preclinical and clinical studies have produced inconclusive results on the causality or even on the existence of such a relation. We set to investigate this relation taking in consideration seizure severity and spatial extent of spike rate. We developed a novel automated spike detection algorithm based on morphological filtering techniques and then tested the hypothesis that there is a pre-ictal increase and post-ictal decrease of the spatial extent of spike rate. Peri-ictal (around seizures) spikes were detected from intracranial EEG recordings in 5 patients with temporal lobe epilepsy. The 94 recorded seizures were classified into two classes, based on the percentage of brain sites having higher or lower rate of spikes in the pre-ictal compared to post-ictal periods, with a classification accuracy of 87.4%. This seizure classification showed that seizures with increased pre-ictal spike rate and spatial extent compared to the post-ictal period were mostly (83%) clinical seizures, whereas no such statistically significant (α = 0.05) increase was observed peri-ictally in 93% of sub-clinical seizures. These consistent across patients results show the existence of a causal relation between spikes and clinical seizures, and imply resetting of the preceding spiking process by clinical seizures.

Medical Subject Headings

Algorithms; Electroencephalography; Epilepsy, Temporal Lobe (physiopathology); Humans; Signal Processing, Computer-Assisted; Spatio-Temporal Analysis

Publication Date

8-1-2014

Publication Title

Annals of biomedical engineering

E-ISSN

1573-9686

Volume

42

Issue

8

First Page

1606

Last Page

17

PubMed ID

24740852

Digital Object Identifier (DOI)

10.1007/s10439-014-1004-x

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