PERFORM Publications

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Title		Authors	PubMed ID
1	Human Auditory-Motor Networks Show Frequency-Specific Phase-Based Coupling in Resting-State MEG	Bedford O; Noly-Gandon A; Ara A; Wiesman AI; Albouy P; Baillet S; Penhune V; Zatorre RJ;	39757971 PSYCHOLOGY
2	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
3	New Megastigmane and Polyphenolic Components of Henna Leaves and Their Tumor-Specific Cytotoxicity on Human Oral Squamous Carcinoma Cell Lines	Orabi MAA; Orabi EA; Awadh AAA; Alshahrani MM; Abdel-Wahab BA; Sakagami H; Hatano T;	38001804 CHEMBIOCHEM
4	The neurophysiology of closed-loop auditory stimulation in sleep: A magnetoencephalography study	Jourde HR; Merlo R; Brooks M; Rowe M; Coffey EBJ;	37675803 CONCORDIA
5	Air monitoring of tire-derived chemicals in global megacities using passive samplers	Johannessen C; Saini A; Zhang X; Harner T;	36152723 CHEMBIOCHEM
6	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
7	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
8	Differences in MEG and EEG power-law scaling explained by a coupling between spatial coherence and frequency: a simulation study.	Bénar CG, Grova C, Jirsa VK, Lina JM	31292816 PERFORM
9	Localization Accuracy of Distributed Inverse Solutions for Electric and Magnetic Source Imaging of Interictal Epileptic Discharges in Patients with Focal Epilepsy.	Heers M, Chowdhury RA, Hedrich T, Dubeau F, Hall JA, Lina JM, Grova C, Kobayashi E	25609211 PERFORM
10	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
11	Zoomed MRI Guided by Combined EEG/MEG Source Analysis: A Multimodal Approach for Optimizing Presurgical Epilepsy Work-up and its Application in a Multi-focal Epilepsy Patient Case Study.	Aydin Ü, Rampp S, Wollbrink A, Kugel H, Cho J-, Knösche TR, Grova C, Wellmer J, Wolters CH	28510905 PERFORM
12	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
13	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
14	Comparison of the spatial resolution of source imaging techniques in high-density EEG and MEG.	Hedrich T, Pellegrino G, Kobayashi E, Lina JM, Grova C	28619655 PERFORM

Title:	Reproducibility of EEG-MEG fusion source analysis of interictal spikes: Relevance in presurgical evaluation of epilepsy.
Authors:	Chowdhury RA, Pellegrino G, Aydin Ü, Lina JM, Dubeau F, Kobayashi E, Grova C
Link:	https://www.ncbi.nlm.nih.gov/pubmed/29164737?dopt=Abstract
DOI:	10.1002/hbm.23889
Publication:	Human brain mapping
Keywords:	coherent maximum entropy on the mean; fusion of EEG and MEG; interictal epileptic spikes; presurgical evaluation of epilepsy; reproducibility; single trial localization;
PMID:	29164737	Category:	Hum Brain Mapp	Date Added:	2019-06-04
Dept Affiliation:	PERFORM 1 Multimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Montreal, Québec, Canada. 2 San Camillo Hospital IRCCS, 80 Via Alberoni, Venice, 30126, Italy. 3 Multimodal Functional Imaging Lab, Department of Physics and PERFORM Centre, Concordia University, Montreal, Québec, Canada. 4 Ecole de Technologie Supérieure, Montréal, Québec, Canada. 5 Centre de Recherches Mathématiques, Université de Montréal, Montréal, Québec, Canada. 6 Neurology and Neurosurgery Department, Montreal Neurological Institute, McGill University, Montreal, Québec, Canada.

Description:

Reproducibility of EEG-MEG fusion source analysis of interictal spikes: Relevance in presurgical evaluation of epilepsy.

Hum Brain Mapp. 2018 02;39(2):880-901

Authors: Chowdhury RA, Pellegrino G, Aydin Ü, Lina JM, Dubeau F, Kobayashi E, Grova C

Abstract

Fusion of electroencephalography (EEG) and magnetoencephalography (MEG) data using maximum entropy on the mean method (MEM-fusion) takes advantage of the complementarities between EEG and MEG to improve localization accuracy. Simulation studies demonstrated MEM-fusion to be robust especially in noisy conditions such as single spike source localizations (SSSL). Our objective was to assess the reliability of SSSL using MEM-fusion on clinical data. We proposed to cluster SSSL results to find the most reliable and consistent source map from the reconstructed sources, the so-called consensus map. Thirty-four types of interictal epileptic discharges (IEDs) were analyzed from 26 patients with well-defined epileptogenic focus. SSSLs were performed on EEG, MEG, and fusion data and consensus maps were estimated using hierarchical clustering. Qualitative (spike-to-spike reproducibility rate, SSR) and quantitative (localization error and spatial dispersion) assessments were performed using the epileptogenic focus as clinical reference. Fusion SSSL provided significantly better results than EEG or MEG alone. Fusion found at least one cluster concordant with the clinical reference in all cases. This concordant cluster was always the one involving the highest number of spikes. Fusion yielded highest reproducibility (SSR EEG?=?55%, MEG?=?71%, fusion?=?90%) and lowest localization error. Also, using only few channels from either modality (21EEG + 272MEG or 54EEG + 25MEG) was sufficient to reach accurate fusion. MEM-fusion with consensus map approach provides an objective way of finding the most reliable and concordant generators of IEDs. We, therefore, suggest the pertinence of SSSL using MEM-fusion as a valuable clinical tool for presurgical evaluation of epilepsy.

PMID: 29164737 [PubMed - indexed for MEDLINE]

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