Keyword search (4,163 papers available)

"Gotman J" 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 Metrics for evaluation of automatic epileptogenic zone localization in intracranial electrophysiology Hrtonova V; Nejedly P; Travnicek V; Cimbalnik J; Matouskova B; Pail M; Peter-Derex L; Grova C; Gotman J; Halamek J; Jurak P; Brazdil M; Klimes P; Frauscher B; 39608298
SOH
3 EEG/MEG source imaging of deep brain activity within the maximum entropy on the mean framework: Simulations and validation in epilepsy Afnan J; Cai Z; Lina JM; Abdallah C; Delaire E; Avigdor T; Ros V; Hedrich T; von Ellenrieder N; Kobayashi E; Frauscher B; Gotman J; Grova C; 38994740
SOH
4 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
5 Targeted density electrode placement achieves high concordance with traditional high-density EEG for electrical source imaging in epilepsy Horrillo-Maysonnial A; Avigdor T; Abdallah C; Mansilla D; Thomas J; von Ellenrieder N; Royer J; Bernhardt B; Grova C; Gotman J; Frauscher B; 37704552
PERFORM
6 Validating MEG source imaging of resting state oscillatory patterns with an intracranial EEG atlas Afnan J; von Ellenrieder N; Lina JM; Pellegrino G; Arcara G; Cai Z; Hedrich T; Abdallah C; Khajehpour H; Frauscher B; Gotman J; Grova C; 37149236
PERFORM
7 Clinical Yield of Electromagnetic Source Imaging and Hemodynamic Responses in Epilepsy: Validation With Intracerebral Data Abdallah C; Hedrich T; Koupparis A; Afnan J; Hall JA; Gotman J; Dubeau F; von Ellenrieder N; Frauscher B; Kobayashi E; Grova C; 35473762
PERFORM
8 Detection of abnormal resting-state networks in individual patients suffering from focal epilepsy: an initial step toward individual connectivity assessment. Dansereau CL, Bellec P, Lee K, Pittau F, Gotman J, Grova C 25565949
PERFORM
9 Detection and Magnetic Source Imaging of Fast Oscillations (40-160 Hz) Recorded with Magnetoencephalography in Focal Epilepsy Patients. von Ellenrieder N, Pellegrino G, Hedrich T, Gotman J, Lina JM, Grova C, Kobayashi E 26830767
PERFORM
10 SPARK: Sparsity-based analysis of reliable k-hubness and overlapping network structure in brain functional connectivity. Lee K, Lina JM, Gotman J, Grova C 27046111
PERFORM
11 Disruption, emergence and lateralization of brain network hubs in mesial temporal lobe epilepsy. Lee K, Khoo HM, Lina JM, Dubeau F, Gotman J, Grova C 30094158
PERFORM
12 Automatic classification and removal of structured physiological noise for resting state functional connectivity MRI analysis. Lee K, Khoo HM, Fourcade C, Gotman J, Grova C 30695721
PERFORM

 

Title:A spatial perturbation framework to validate implantation of the epileptogenic zone
Authors:Jaber KAvigdor TMansilla DHo AThomas JAbdallah CChabardes SHall JMinotti LKahane PGrova CGotman JFrauscher 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.

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.





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