PERFORM Publications

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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:	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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