Epileptic focus localization based on resting state interictal MEG recordings is feasible irrespective of the presence or absence of spikes

Document Type

Article

Abstract

OBJECTIVE: To investigate whether epileptogenic focus localization is possible based on resting state connectivity analysis of magnetoencephalographic (MEG) data. METHODS: A multivariate autoregressive (MVAR) model was constructed using the sensor space data and was projected to the source space using lead field and inverse matrix. The generalized partial directed coherence was estimated from the MVAR model in the source space. The dipole with the maximum information inflow was hypothesized to be within the epileptogenic focus. RESULTS: Applying the focus localization algorithm (FLA) to the interictal MEG recordings from five patients with neocortical epilepsy, who underwent presurgical evaluation for the identification of epileptogenic focus, we were able to correctly localize the focus, on the basis of maximum interictal information inflow in the presence or absence of interictal epileptic spikes in the data, with three out of five patients undergoing resective surgery and being seizure free since. CONCLUSION: Our preliminary results suggest that accurate localization of the epileptogenic focus may be accomplished using noninvasive spontaneous "resting-state" recordings of relatively brief duration and without the need to capture definite interictal and/or ictal abnormalities. SIGNIFICANCE: Epileptogenic focus localization is possible through connectivity analysis of resting state MEG data irrespective of the presence/absence of spikes.

Keywords

Epilepsy, Epileptogenic focus localization, Information flow, Interictal period, MEG, Resting state connectivity

Medical Subject Headings

Action Potentials (physiology); Adult; Electroencephalography (methods); Epilepsies, Partial (diagnosis, physiopathology); Feasibility Studies; Female; Humans; Magnetoencephalography (methods); Male; Middle Aged; Rest (physiology)

Publication Date

4-1-2015

Publication Title

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology

E-ISSN

1872-8952

Volume

126

Issue

4

First Page

667

Last Page

74

PubMed ID

25440261

Digital Object Identifier (DOI)

10.1016/j.clinph.2014.07.014

This document is currently not available here.

Share

COinS