Literature DB >> 11222962

Dipole modeling of scalp electroencephalogram epileptic discharges: correlation with intracerebral fields.

I Merlet1, J Gotman.   

Abstract

OBJECTIVE: In order to evaluate the feasibility of modeling seizures and the reliability of dipole models, we compared source localizations of scalp seizures with the distribution of simultaneous intracerebral electroencephalogram (SEEG).
METHODS: In a first session, only scalp electroencephalogram (EEG) was recorded from 15 patients. We averaged the first detectable ictal activity in two consecutive segments of stable topography and morphology. Spatio-temporal dipole sources were estimated for each segment and projected on 3D-magnetic resonance images. In a second session, SEEG was recorded simultaneously with control scalp electrodes, allowing the identification of ictal patterns similar to those submitted to dipole modeling.
RESULTS: Ictal discharges could be analyzed in only 6 of 15 patients. In the remaining 9, scalp discharges were undetectable or non-reproducible in 6, and solutions were unstable despite an apparently stable discharge in 3. In the 6 patients successfully modeled, dipoles were found in regions where SEEG discharges were present. However, when intracerebral discharges were very focal, there was no corresponding scalp activity. When intracerebral signals were maximal in the mesial temporal regions at the seizure onset, only lateral neocortical dipoles were found. When discharges reached the frontal lobes, we could identify lateral and mesial frontal sources.
CONCLUSIONS: In most seizures, it was not possible to obtain satisfactory dipole models, probably a reflection of the high noise level or widespread generators. When modeling was possible, our results suggested that mesial temporal seizure discharges did not contribute to scalp EEG activity. This activity appears to reflect signals synchronized and distributed over the lateral temporal or frontal neocortex, as well as signals generated in mesial frontal areas.

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Year:  2001        PMID: 11222962     DOI: 10.1016/s1388-2457(01)00458-8

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  15 in total

1.  Source localization of the seizure onset zone from ictal EEG/MEG data.

Authors:  Giovanni Pellegrino; Tanguy Hedrich; Rasheda Chowdhury; Jeffery A Hall; Jean-Marc Lina; Francois Dubeau; Eliane Kobayashi; Christophe Grova
Journal:  Hum Brain Mapp       Date:  2016-04-05       Impact factor: 5.038

2.  Dynamic imaging of seizure activity in pediatric epilepsy patients.

Authors:  Yunfeng Lu; Lin Yang; Gregory A Worrell; Benjamin Brinkmann; Cindy Nelson; Bin He
Journal:  Clin Neurophysiol       Date:  2012-05-18       Impact factor: 3.708

3.  Dynamic imaging of ictal oscillations using non-invasive high-resolution EEG.

Authors:  Lin Yang; Christopher Wilke; Benjamin Brinkmann; Gregory A Worrell; Bin He
Journal:  Neuroimage       Date:  2011-03-29       Impact factor: 6.556

4.  Relationship of EEG sources of neonatal seizures to acute perinatal brain lesions seen on MRI: a pilot study.

Authors:  Ivana Despotovic; Perumpillichira J Cherian; Maarten De Vos; Hans Hallez; Wouter Deburchgraeve; Paul Govaert; Maarten Lequin; Gerhard H Visser; Renate M Swarte; Ewout Vansteenkiste; Sabine Van Huffel; Wilfried Philips
Journal:  Hum Brain Mapp       Date:  2012-04-21       Impact factor: 5.038

5.  Seizure source imaging by means of FINE spatio-temporal dipole localization and directed transfer function in partial epilepsy patients.

Authors:  Yunfeng Lu; Lin Yang; Gregory A Worrell; Bin He
Journal:  Clin Neurophysiol       Date:  2011-12-14       Impact factor: 3.708

6.  Three-dimensional brain current source reconstruction from intra-cranial ECoG recordings.

Authors:  Yingchun Zhang; Wim van Drongelen; Michael Kohrman; Bin He
Journal:  Neuroimage       Date:  2008-05-11       Impact factor: 6.556

7.  Intracranial EEG potentials estimated from MEG sources: A new approach to correlate MEG and iEEG data in epilepsy.

Authors:  Christophe Grova; Maria Aiguabella; Rina Zelmann; Jean-Marc Lina; Jeffery A Hall; Eliane Kobayashi
Journal:  Hum Brain Mapp       Date:  2016-03-02       Impact factor: 5.038

8.  Interictal networks in magnetoencephalography.

Authors:  Urszula Malinowska; Jean-Michel Badier; Martine Gavaret; Fabrice Bartolomei; Patrick Chauvel; Christian-George Bénar
Journal:  Hum Brain Mapp       Date:  2013-09-18       Impact factor: 5.038

Review 9.  EEG source imaging in epilepsy--practicalities and pitfalls.

Authors:  Kitti Kaiboriboon; Hans O Lüders; Mehdi Hamaneh; John Turnbull; Samden D Lhatoo
Journal:  Nat Rev Neurol       Date:  2012-08-07       Impact factor: 42.937

10.  The spatio-temporal mapping of epileptic networks: combination of EEG-fMRI and EEG source imaging.

Authors:  S Vulliemoz; R Thornton; R Rodionov; D W Carmichael; M Guye; S Lhatoo; A W McEvoy; L Spinelli; C M Michel; J S Duncan; L Lemieux
Journal:  Neuroimage       Date:  2009-07-01       Impact factor: 6.556

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