Propagation of epileptic activity during single (unaveraged) interictal spikes as studied with Magnetic Field Tomography (MFT) View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2000

AUTHORS

P. D. Bamidis , E. Hellstrand , A. A. Ioannides

ABSTRACT

The potential in multichannel MEG systems to analyse interictal epileptic data directly, without signal averaging, has been underlined by many MEG investigators [1]. Since spikes of similar shapes may arise from different cortical areas, analysis of individual, non-averaged spikes would be preferable to that of averaged spike signals [2]. An averaging technique might give good localisation results at the maximum of the spike (in consensus with some unaveraged spikes), but one cannot guarantee that the propagation of epileptic activity as appearing in the averaged record would represent the actual epileptic propagation. The study of unaveraged epileptic events, however, necessitates a robust analysis method that: (i) does not include any preconceptions on the number and position of sources; (ii) allows for distributed sources, since extended and/or multiple brain areas may be involved in the generation of epileptiform activity [3, 4]. Magnetic Field Tomography (MFT) meets these requirements [5]. Earlier studies exploited the feasibility of analysing unaveraged interictal multichannel MEG data (i.e. spikes, sharp waves) with MFT [6]. More recently, MFT was used to study the spatio-temporal evolution of interictal activity during single spike events [7]. In this work, emphasis is drawn on the interactions between neocortex and deep temporal structures, as well as the spatio-temporal characteristics of interictal activity in the depth of the temporal lobe of two epileptic patients. More... »

PAGES

1090-1093

Book

TITLE

Biomag 96

ISBN

978-1-4612-7066-9
978-1-4612-1260-7

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-4612-1260-7_266

DOI

http://dx.doi.org/10.1007/978-1-4612-1260-7_266

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1036633831


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