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:	Accuracy and spatial properties of distributed magnetic source imaging techniques in the investigation of focal epilepsy patients.
Authors:	Pellegrino G, Hedrich T, Porras-Bettancourt M, Lina JM, Aydin Ü, Hall J, Grova C, Kobayashi E
Link:	https://www.ncbi.nlm.nih.gov/pubmed/32386115?dopt=Abstract
DOI:	10.1002/hbm.24994
Publication:	Human brain mapping
Keywords:	MEG; interictal epileptiform discharges; inverse problem; magnetic source imaging; presurgical evaluation; source localization; spike;
PMID:	32386115	Category:	Hum Brain Mapp	Date Added:	2020-05-10
Dept Affiliation:	PERFORM 1 Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada. 2 IRCCS Fondazione San Camillo Hospital, Venice, Italy. 3 Department of Multimodal Functional Imaging Lab, Biomedical Engineering, McGill University, Montreal, Quebec, Canada. 4 Departement de Genie Electrique, Ecole de Technologie Superieure, Montreal, Quebec, Canada. 5 Centre de Recherches Mathematiques, Montréal, Quebec, Canada. 6 Physics Department and PERFORM Centre, Concordia University, Montreal, Quebec, Canada.

Description:

Accuracy and spatial properties of distributed magnetic source imaging techniques in the investigation of focal epilepsy patients.

Hum Brain Mapp. 2020 May 09;:

Authors: Pellegrino G, Hedrich T, Porras-Bettancourt M, Lina JM, Aydin Ü, Hall J, Grova C, Kobayashi E

Abstract

Source localization of interictal epileptiform discharges (IEDs) is clinically useful in the presurgical workup of epilepsy patients. We aimed to compare the performance of four different distributed magnetic source imaging (dMSI) approaches: Minimum norm estimate (MNE), dynamic statistical parametric mapping (dSPM), standardized low-resolution electromagnetic tomography (sLORETA), and coherent maximum entropy on the mean (cMEM). We also evaluated whether a simple average of maps obtained from multiple inverse solutions (Ave) can improve localization accuracy. We analyzed dMSI of 206 IEDs derived from magnetoencephalography recordings in 28 focal epilepsy patients who had a well-defined focus determined through intracranial EEG (iEEG), epileptogenic MRI lesions or surgical resection. dMSI accuracy and spatial properties were quantitatively estimated as: (a) distance from the epilepsy focus, (b) reproducibility, (c) spatial dispersion (SD), (d) map extension, and (e) effect of thresholding on map properties. Clinical performance was excellent for all methods (median distance from the focus MNE = 2.4?mm; sLORETA = 3.5?mm; cMEM = 3.5?mm; dSPM = 6.8?mm, Ave = 0?mm). Ave showed the lowest distance between the map maximum and epilepsy focus (Dmin lower than cMEM, MNE, and dSPM, p =?.021, p =?.008, p <?.001, respectively). cMEM showed the best spatial features, with lowest SD outside the focus (SD lower than all other methods, p <?.001 consistently) and high contrast between the generator and surrounding regions. The average map Ave provided the best localization accuracy, whereas cMEM exhibited the lowest amount of spurious distant activity. dMSI techniques have the potential to significantly improve identification of iEEG targets and to guide surgical planning, especially when multiple methods are combined.

PMID: 32386115 [PubMed - as supplied by publisher]

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