Keyword search (4,163 papers available)

"Avigdor T" Authored Publications:

Title Authors PubMed ID
1 How vigilance states influence source imaging of physiological brain oscillations: evidence from intracranial EEG Wei X; Afnan J; Avigdor T; von Ellenrieder N; Delaire É; Royer J; Ho A; Minato E; Schiller K; Jaber K; Wang YL; Moye M; Bernhardt BC; Lina JM; Grova C; Frauscher B; 41687693
SOH
2 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
3 Spectral and network investigation reveals distinct power and connectivity patterns between phasic and tonic REM sleep Avigdor T; Peter-Derex L; Ho A; Schiller K; Wang Y; Abdallah C; Delaire E; Jaber K; Travnicek V; Grova C; Frauscher B; 40394955
SOH
4 The Awakening Brain is Characterized by a Widespread and Spatiotemporally Heterogeneous Increase in High Frequencies Avigdor T; Ren G; Abdallah C; Dubeau F; Grova C; Frauscher B; 40126936
PERFORM
5 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
6 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
7 Consistency of electrical source imaging in presurgical evaluation of epilepsy across different vigilance states Avigdor T; Abdallah C; Afnan J; Cai Z; Rammal S; Grova C; Frauscher B; 38217279
PERFORM
8 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
9 Fast oscillations >40 Hz localize the epileptogenic zone: An electrical source imaging study using high-density electroencephalography. Avigdor T, Abdallah C, von Ellenrieder N, Hedrich T, Rubino A, Lo Russo G, Bernhardt B, Nobili L, Grova C, Frauscher B 33450578
PERFORM

 

Title:Fast oscillations >40 Hz localize the epileptogenic zone: An electrical source imaging study using high-density electroencephalography.
Authors:Avigdor TAbdallah Cvon Ellenrieder NHedrich TRubino ALo Russo GBernhardt BNobili LGrova CFrauscher B
Link:https://www.ncbi.nlm.nih.gov/pubmed/33450578
DOI:10.1016/j.clinph.2020.11.031
Publication:Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Keywords:Electrical source imagingEpilepsyHigh-density electroencephalographyMaximum entropy of the meanNon-invasive localization
PMID:33450578 Category:Clin Neurophysiol Date Added:2021-01-16
Dept Affiliation: PERFORM
1 Analytical Neurophysiology Lab, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada; Multimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Canada.
2 Multimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Canada.
3 Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
4 Claudio Munari Epilepsy Center, Niguarda Hospital, Milan, Italy.
5 Department of Neuroscience (DINOGMI), University of Genoa, Italy; IRCCS, Child Neuropsychiatry Unit, Instituto Giannina Gaslini, Genoa, Italy.
6 Multimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Canada; Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada; Multimodal Functional Imaging Lab, PERFORM Centre, Department of Physics, Concordia University, Montreal, QC, Canada.
7 Analytical Neurophysiology Lab, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada; Department of Medicine, Queen's University, Kingston, ON, Canada. Electronic address: birgit.frauscher@mcgill.ca.

Description:

Fast oscillations >40 Hz localize the epileptogenic zone: An electrical source imaging study using high-density electroencephalography.

Clin Neurophysiol. 2020 Dec 22; 132(2):568-580

Authors: Avigdor T, Abdallah C, von Ellenrieder N, Hedrich T, Rubino A, Lo Russo G, Bernhardt B, Nobili L, Grova C, Frauscher B

Abstract

OBJECTIVE: Fast Oscillations (FO) >40 Hz are a promising biomarker of the epileptogenic zone (EZ). Evidence using scalp electroencephalography (EEG) remains scarce. We assessed if electrical source imaging of FO using 256-channel high-density EEG (HD-EEG) is useful for EZ identification.

METHODS: We analyzed HD-EEG recordings of 10 focal drug-resistant epilepsy patients with seizure-free postsurgical outcome. We marked FO candidate events at the time of epileptic spikes and verified them by screening for an isolated peak in the time-frequency plot. We performed electrical source imaging of spikes and FO within the Maximum Entropy of the Mean framework. Source localization maps were validated against the surgical cavity.

RESULTS: We identified FO in five out of 10 patients who had a superficial or intermediate deep generator. The maximum of the FO maps was localized inside the cavity in all patients (100%). Analysis with a reduced electrode coverage using the 10-10 and 10-20 system showed a decreased localization accuracy of 60% and 40% respectively.

CONCLUSIONS: FO recorded with HD-EEG localize the EZ. HD-EEG is better suited to detect and localize FO than conventional EEG approaches.

SIGNIFICANCE: This study acts as proof-of-concept that FO localization using 256-channel HD-EEG is a viable marker of the EZ.

PMID: 33450578 [PubMed - as supplied by publisher]





BookR developed by Sriram Narayanan
for the Concordia University School of Health
Copyright © 2011-2026
Cookie settings
Concordia University