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"Localization" Keyword-tagged Publications:

Title Authors PubMed ID
1 Human short-term memory learning based on dynamic glutamate levels and oscillatory activities: concurrent metabolic and electrophysiological studies using event-related functional-MRS and EEG modalities Mohammadi H; Zargaran SJ; Khajehpour H; Adibi I; Rahimiforoushani A; Karimi S; Serej ND; Alam NR; 41171530
PERFORM
2 Deformable detection transformers for domain adaptable ultrasound localization microscopy with robustness to point spread function variations Gharamaleki SK; Helfield B; Rivaz H; 40640235
PHYSICS
3 PARPAL: PARalog Protein Redistribution using Abundance and Localization in Yeast Database Greco BM; Zapata G; Dandage R; Papkov M; Pereira V; Lefebvre F; Bourque G; Parts L; Kuzmin E; 40580499
BIOLOGY
4 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
5 Otilonium Bromide Exhibits Potent Antifungal Effects by Blocking Ergosterol Plasma Membrane Localization and Triggering Cytotoxic Autophagy in Candida Albicans Zhen C; Wang L; Feng Y; Whiteway M; Hang S; Yu J; Lu H; Jiang Y; 38995235
BIOLOGY
6 The MyLo CRISPR-Cas9 Toolkit: A Markerless Yeast Localization and Overexpression CRISPR-Cas9 Toolkit Bean BDM; Whiteway M; Martin VJJ; 35708612
BIOLOGY
7 Optical Fiber Array Sensor for Force Estimation and Localization in TAVI Procedure: Design, Modeling, Analysis and Validation Bandari N; Dargahi J; Packirisamy M; 34450813
ENCS
8 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
9 Effects of Independent Component Analysis on Magnetoencephalography Source Localization in Pre-surgical Frontal Lobe Epilepsy Patients Pellegrino G, Xu M, Alkuwaiti A, Porras-Bettancourt M, Abbas G, Lina JM, Grova C, Kobayashi E, 32582009
PERFORM
10 Editorial: RNA Regulation in Development and Disease. Chartrand P, Jaramillo M, Gamberi C 32411184
BIOLOGY
11 Accuracy and spatial properties of distributed magnetic source imaging techniques in the investigation of focal epilepsy patients. Pellegrino G, Hedrich T, Porras-Bettancourt M, Lina JM, Aydin Ü, Hall J, Grova C, Kobayashi E 32386115
PERFORM
12 W361R mutation in GaaR, the regulator of D-galacturonic acid-responsive genes, leads to constitutive production of pectinases in Aspergillus niger. Alazi E, Niu J, Otto SB, Arentshorst M, Pham TTM, Tsang A, Ram AFJ 30298571
CSFG
13 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
14 Intracranial EEG potentials estimated from MEG sources: A new approach to correlate MEG and iEEG data in epilepsy. Grova C, Aiguabella M, Zelmann R, Lina JM, Hall JA, Kobayashi E 26931511
PERFORM
15 Source localization of the seizure onset zone from ictal EEG/MEG data. Pellegrino G, Hedrich T, Chowdhury R, Hall JA, Lina JM, Dubeau F, Kobayashi E, Grova C 27059157
PERFORM
16 Clinical yield of magnetoencephalography distributed source imaging in epilepsy: A comparison with equivalent current dipole method. Pellegrino G, Hedrich T, Chowdhury RA, Hall JA, Dubeau F, Lina JM, Kobayashi E, Grova C 29024165
PERFORM
17 Reproducibility of EEG-MEG fusion source analysis of interictal spikes: Relevance in presurgical evaluation of epilepsy. Chowdhury RA, Pellegrino G, Aydin Ü, Lina JM, Dubeau F, Kobayashi E, Grova C 29164737
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]





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