Literature DB >> 20206700

Source localization of ictal epileptic activity investigated by high resolution EEG and validated by SEEG.

Laurent Koessler1, Christian Benar, Louis Maillard, Jean-Michel Badier, Jean Pierre Vignal, Fabrice Bartolomei, Patrick Chauvel, Martine Gavaret.   

Abstract

High resolution electroencephalography (HR-EEG) combined with source localization methods has mainly been used to study interictal spikes and there have been few studies comparing source localization of scalp ictal patterns with depth EEG. To address this issue, 10 patients with four different scalp ictal patterns (ictal spikes, rhythmic activity, paroxysmal fast activity, obscured) were investigated by both HR-EEG and stereoelectroencephalography (SEEG). Sixty-four scalp-EEG sensors and a sampling rate of 1kHz were used to record scalp ictal patterns. Five different source models (moving dipole, rotating dipole, MUSIC, LORETA, and sLORETA) were used in order to perform source localization. Seven to 10 intracerebral electrodes were implanted during SEEG investigations. For each source model, the concordance between ictal source localization and epileptogenic zone defined by SEEG was assessed. Results were considered to agree if they localized in the same sublobar area as defined by a trained epileptologist. Across the study population, the best concordance between source localization methods and SEEG (9/10) was obtained with equivalent current dipole modeling. MUSIC and LORETA had a concordance of 7/10 whereas sLORETA had a concordance of only 5/10. Four of our patients classified into different groups (ictal spikes, paroxysmal fast activity, obscured) had complete concordance between source localization methods and SEEG. A high signal to noise ratio, a short time window of analysis (<1s) and bandpass filtering around the frequency of rhythmic activity allowed improvement of the source localization results. A high level of agreement between source localization methods and SEEG can be obtained for ictal spike patterns and for scalp-EEG paroxysmal fact activities whereas scalp rhythmic discharges can be accurately localized but originated from seizure propagation network. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20206700     DOI: 10.1016/j.neuroimage.2010.02.067

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  26 in total

1.  Lateralization and localization of epilepsy related hemodynamic foci using presurgical fMRI.

Authors:  Clara Huishi Zhang; Yunfeng Lu; Benjamin Brinkmann; Kirk Welker; Gregory Worrell; Bin He
Journal:  Clin Neurophysiol       Date:  2014-04-30       Impact factor: 3.708

2.  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

3.  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

4.  Multiple dipole source localization of EEG measurements using particle filter with partial stratified resampling.

Authors:  Santhosh Kumar Veeramalla; V K Hanumantha Rao Talari
Journal:  Biomed Eng Lett       Date:  2020-02-06

5.  Evidence-based source modeling of nociceptive cortical responses: A direct comparison of scalp and intracranial activity in humans.

Authors:  Claire Bradley; Hélène Bastuji; Luis Garcia-Larrea
Journal:  Hum Brain Mapp       Date:  2017-09-18       Impact factor: 5.038

6.  Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings.

Authors:  Jihye Bae; Abhay Deshmukh; Yinchen Song; Jorge Riera
Journal:  J Vis Exp       Date:  2015-06-06       Impact factor: 1.355

7.  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

8.  Optimal referencing for stereo-electroencephalographic (SEEG) recordings.

Authors:  Guangye Li; Shize Jiang; Sivylla E Paraskevopoulou; Meng Wang; Yang Xu; Zehan Wu; Liang Chen; Dingguo Zhang; Gerwin Schalk
Journal:  Neuroimage       Date:  2018-08-17       Impact factor: 6.556

9.  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

Review 10.  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

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