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PubMed Publications| Keyword search (4,163 papers available) |  |
"Chabardes S" Authored Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Visual Features in Stereo-Electroencephalography to Predict Surgical Outcome: A Multicenter Study | Abdallah C; Thomas J; Aron O; Avigdor T; Jaber K; Doležalová I; Mansilla D; Nevalainen P; Parikh P; Singh J; Beniczky S; Kahane P; Minotti L; Chabardes S; Colnat-Coulbois S; Maillard L; Hall J; Dubeau F; Gotman J; Grova C; Frauscher B; | 40519108 SOH |
| 2 | A spatial perturbation framework to validate implantation of the epileptogenic zone | Jaber K; Avigdor T; Mansilla D; Ho A; Thomas J; Abdallah C; Chabardes S; Hall J; Minotti L; Kahane P; Grova C; Gotman J; Frauscher B; | 38897997 SOH |
| Title: | A spatial perturbation framework to validate implantation of the epileptogenic zone | ||||
| Authors: | Jaber K, Avigdor T, Mansilla D, Ho A, Thomas J, Abdallah C, Chabardes S, Hall J, Minotti L, Kahane P, Grova C, Gotman J, Frauscher B | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/38897997/ | ||||
| DOI: | 10.1038/s41467-024-49470-z | ||||
| Publication: | Nature communications | ||||
| Keywords: | |||||
| PMID: | 38897997 | Category: | Date Added: | 2024-06-20 | |
| Dept Affiliation: |
SOH
1 Analytical Neurophysiology Lab, Montreal Neurological Institute and Hospital, McGill University, Montréal, QC, Canada. 2 Department of Biomedical Engineering, Duke Pratt School of Engineering, Durham, NC, USA. 3 Multimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Montréal, QC, Canada. 4 Neurophysiology Unit, Institute of Neurosurgery Dr. Asenjo, Santiago, Chile. 5 Department of Neurology, Duke University Medical Center, Durham, NC, USA. 6 Grenoble Institute Neurosciences, Inserm, U1216, CHU Grenoble Alpes, Université Grenoble Alpes, Grenoble, France. 7 Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, Montréal, QC, Canada. 8 Multimodal Functional Imaging Lab, School of Health, Department of Physics, Concordia University, Montréal, QC, Canada. 9 Montreal Neurological Institute, McGill University, Montréal, QC, Canada. 10 Analytical Neurophysiology Lab, Montreal Neurological Institute and Hospital, McGill University, Montréal, QC, Canada. birgit.frauscher@duke.edu. 11 Department of Biomedical Engineering, Duke Pratt School of Engineering, Durham, NC, USA. birgit.frauscher@duke.edu. 12 Department of Neurology, Duke University Medical Center, Durham, NC, USA. birgit.frauscher@duke.edu. |
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Description: |
Stereo-electroencephalography (SEEG) is the gold standard to delineate surgical targets in focal drug-resistant epilepsy. SEEG uses electrodes placed directly into the brain to identify the seizure-onset zone (SOZ). However, its major constraint is limited brain coverage, potentially leading to misidentification of the 'true' SOZ. Here, we propose a framework to assess adequate SEEG sampling by coupling epileptic biomarkers with their spatial distribution and measuring the system's response to a perturbation of this coupling. We demonstrate that the system's response is strongest in well-sampled patients when virtually removing the measured SOZ. We then introduce the spatial perturbation map, a tool that enables qualitative assessment of the implantation coverage. Probability modelling reveals a higher likelihood of well-implanted SOZs in seizure-free patients or non-seizure free patients with incomplete SOZ resections, compared to non-seizure-free patients with complete resections. This highlights the framework's value in sparing patients from unsuccessful surgeries resulting from poor SEEG coverage. |
