P08-S Combined electromagnetic source imaging in presurgical evaluation. Issue 7 (July 2019)
- Record Type:
- Journal Article
- Title:
- P08-S Combined electromagnetic source imaging in presurgical evaluation. Issue 7 (July 2019)
- Main Title:
- P08-S Combined electromagnetic source imaging in presurgical evaluation
- Authors:
- Duez, Lene
Tankisi, Hatice
Hansen, Peter Orm
Sabers, Anne
Pinborg, Lars
Fabricius, Martin
Rásonyi, György
Rubboli, Guido
Pedersen, Birthe
Leffers, Anne-Mette
Uldall, Peter
Jespersen, Bo
Brennum, DMSc Jannick
Henriksen, Otto Mølby
Fuglsang-Frederiksen, Anders
Beniczky, Sándor - Abstract:
- Abstract : Background: To date, source imaging (SI) has been performed using epileptiform discharges (ED) detected by magnetoencephalography (MEG) or electroencephalography (EEG). A few case studies has combined MEG and EEG recordings and performed electromagnetic source imaging (cEMSI). This study tries to elucidate the role of cEMSI in presurgical evaluation. Material and methods: A MEG whole-head 306-channel Elekta Neuromag® system, and simultaneous high density EEG (70 electrodes, range 58–80) using a non-magnetic cap (EASYCAP) were recorded in 141 consecutive patients. Fifty patients were operated and had one year follow up. MEG-EEG was inspected for EDs. Signals were analyzed using CURRY 7 Neuroimaging Suite. For each cluster, using the visually detected EDs as templates, automated algorithms scanned the recordings, and detected EDs were visually checked. To improve the signal-to-noise ratio, EDs with similar topography were averaged. Two different inverse solutions were applied: equivalent current dipole (ECD) and a distributed source model (DSM): sLORETA. We performed electric SI, magnetic SI, and cEMSI. All analyses were performed using individual head models from the patients' MRIs. We calculated the odds ratio (OR) of becoming seizure-free when operation was concordant vs discordant with the localization of the SI. Results: Combining both EEG and MEG signals (cEMSI) gave an OR of 5.8 for ECD and 19.2 for DSM. OR of cEMSI using DSM was significantly higher thanAbstract : Background: To date, source imaging (SI) has been performed using epileptiform discharges (ED) detected by magnetoencephalography (MEG) or electroencephalography (EEG). A few case studies has combined MEG and EEG recordings and performed electromagnetic source imaging (cEMSI). This study tries to elucidate the role of cEMSI in presurgical evaluation. Material and methods: A MEG whole-head 306-channel Elekta Neuromag® system, and simultaneous high density EEG (70 electrodes, range 58–80) using a non-magnetic cap (EASYCAP) were recorded in 141 consecutive patients. Fifty patients were operated and had one year follow up. MEG-EEG was inspected for EDs. Signals were analyzed using CURRY 7 Neuroimaging Suite. For each cluster, using the visually detected EDs as templates, automated algorithms scanned the recordings, and detected EDs were visually checked. To improve the signal-to-noise ratio, EDs with similar topography were averaged. Two different inverse solutions were applied: equivalent current dipole (ECD) and a distributed source model (DSM): sLORETA. We performed electric SI, magnetic SI, and cEMSI. All analyses were performed using individual head models from the patients' MRIs. We calculated the odds ratio (OR) of becoming seizure-free when operation was concordant vs discordant with the localization of the SI. Results: Combining both EEG and MEG signals (cEMSI) gave an OR of 5.8 for ECD and 19.2 for DSM. OR of cEMSI using DSM was significantly higher than both ESI ( p = 0.02) and MSI ( p = 0.03). Conclusion: Combined EMSI achieved significantly higher odds ratio for becoming seizure-free compared to electric SI and magnetic SI. … (more)
- Is Part Of:
- Clinical neurophysiology. Volume 130:Issue 7(2019:Jul.)
- Journal:
- Clinical neurophysiology
- Issue:
- Volume 130:Issue 7(2019:Jul.)
- Issue Display:
- Volume 130, Issue 7 (2019)
- Year:
- 2019
- Volume:
- 130
- Issue:
- 7
- Issue Sort Value:
- 2019-0130-0007-0000
- Page Start:
- e96
- Page End:
- Publication Date:
- 2019-07
- Subjects:
- Neurophysiology -- Periodicals
Electroencephalography -- Periodicals
Electromyography -- Periodicals
Neurology -- Periodicals
612.8 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13882457 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.clinph.2019.04.548 ↗
- Languages:
- English
- ISSNs:
- 1388-2457
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3286.310645
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