Conference
Electrical source imaging and connectivity analysis to localize the seizure-onset zone based on high-density ictal scalp EEG recordings
| العنوان: | Electrical source imaging and connectivity analysis to localize the seizure-onset zone based on high-density ictal scalp EEG recordings |
|---|---|
| المؤلفون: | Staljanssens, Willeke, Strobbe, Gregor, Van Holen, Roel, Birot, Gwenael, Michel, Christophe, Seeck, Margitta, Vulliémoz, Serge, van Mierlo, Pieter |
| المصدر: | International Conference on Basic and Clinical Multimodal Imaging, Abstracts |
| سنة النشر: | 2015 |
| المجموعة: | Ghent University Academic Bibliography |
| مصطلحات موضوعية: | Technology and Engineering, EEG source imaging, connectivity, epilepsy, seizure-onset zone localization |
| الوصف: | Functional connectivity analysis of ictal intracranial EEG (icEEG) recordings can help with seizure-onset zone (SOZ) localization in patients with focal epilepsy1. However, it would be of high clinical value to be able to localize the SOZ based on non-invasive ictal EEG recordings to better target or avoid icEEG and improve surgical outcome. In this work, we propose an approach to localize the SOZ based on non-invasive ictal high- density EEG (hd-EEG) recordings. We considered retrospective ictal hd-EEG recordings of two patients who were rendered seizure free after surgery. Furthermore, we simulated 1000 ictal hd-EEG epochs of 10s with an underlying network consisting of 3 randomly placed epileptic patches in the brain. EEG source imaging (ESI) was performed in CARTOOL using an individual head model (LSMAC) to calculate the forward model2. We considered dipoles uniformly distributed in the brain with a spacing of 5mm. LORETA3 was used as inverse solution method. Center dipoles of clusters with high activation were determined as dipoles for which there was no higher power in their neighborhood. The time-varying connectivity pattern between the time series of these dipoles was calculated using the integrated, full-frequency, and spectrum-weighted Adaptive Directed Transfer Function4. This was done in the frequency band containing the seizure information, 3-30Hz. The outdegree of each selected dipole was determined as the sum over time of all outgoing connections. Around the dipole with the highest outdegree, we determined a region of dipoles that had a power that was at least 90% of the power of the center dipole. This region was then considered as the SOZ. We were able to successfully localize the driver in the resected zone for both patients. For the simulation data, the results can be quantified: in 71% of the simulations, the localization error remained below 25mm. If the selection of the dipole would be solely based on the highest power, the error would be more than 82mm. ESI in combination with connectivity ... |
| نوع الوثيقة: | conference object |
| وصف الملف: | application/pdf |
| اللغة: | English |
| Relation: | https://biblio.ugent.be/publication/6937854; http://hdl.handle.net/1854/LU-6937854; https://biblio.ugent.be/publication/6937854/file/8114682 |
| الاتاحة: | https://biblio.ugent.be/publication/6937854 http://hdl.handle.net/1854/LU-6937854 https://biblio.ugent.be/publication/6937854/file/8114682 |
| Rights: | No license (in copyright) ; info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.BAC7175F |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |