Mapping epileptic activity: sources or networks for the clinicians?

Pittau, Francesca; Mégevand, Pierre; Sheybani, Laurent; Abela, Eugenio; Grouiller, Frédéric; Spinelli, Laurent; Michel, Christoph M; Seeck, Margitta; Vulliemoz, Serge (2014). Mapping epileptic activity: sources or networks for the clinicians? Frontiers in neurology, 5, p. 218. Frontiers Media S.A. 10.3389/fneur.2014.00218

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Epileptic seizures of focal origin are classically considered to arise from a focal epileptogenic zone and then spread to other brain regions. This is a key concept for semiological electro-clinical correlations, localization of relevant structural lesions, and selection of patients for epilepsy surgery. Recent development in neuro-imaging and electro-physiology and combinations, thereof, have been validated as contributory tools for focus localization. In parallel, these techniques have revealed that widespread networks of brain regions, rather than a single epileptogenic region, are implicated in focal epileptic activity. Sophisticated multimodal imaging and analysis strategies of brain connectivity patterns have been developed to characterize the spatio-temporal relationships within these networks by combining the strength of both techniques to optimize spatial and temporal resolution with whole-brain coverage and directional connectivity. In this paper, we review the potential clinical contribution of these functional mapping techniques as well as invasive electrophysiology in human beings and animal models for characterizing network connectivity.

Item Type:

Journal Article (Review Article)

Division/Institute:

04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic and Interventional Neuroradiology
04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology

UniBE Contributor:

Abela, Eugenio

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1664-2295

Publisher:

Frontiers Media S.A.

Language:

English

Submitter:

Martin Zbinden

Date Deposited:

22 Jan 2015 11:31

Last Modified:

26 Jun 2015 15:15

Publisher DOI:

10.3389/fneur.2014.00218

PubMed ID:

25414692

Uncontrolled Keywords:

EEG, MEG, animal model, connectivity, epilepsy, fMRI, intracranial EEG, resting-state network

URI:

https://boris.unibe.ch/id/eprint/61854

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