PERFORM Publications

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Title		Authors	PubMed ID
1	Birth weight is associated with adolescent brain development: A multimodal imaging study in monozygotic twins.	Hayward DA, Pomares F, Casey KF, Ismaylova E, Levesque M, Greenlaw K, Vitaro F, Brendgen M, Rénard F, Dionne G, Boivin M, Tremblay RE, Booij L	32881198 PSYCHOLOGY
2	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
3	Birth weight discordance, DNA methylation, and cortical morphology of adolescent monozygotic twins.	Casey KF, Levesque ML, Szyf M, Ismaylova E, Verner MP, Suderman M, Vitaro F, Brendgen M, Dionne G, Boivin M, Tremblay RE, Booij L	28032437 PSYCHOLOGY
4	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
5	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
6	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
7	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
8	Biomarkers, designs, and interpretations of resting-state fMRI in translational pharmacological research: A review of state-of-the-Art, challenges, and opportunities for studying brain chemistry.	Khalili-Mahani N, Rombouts SA, van Osch MJ, Duff EP, Carbonell F, Nickerson LD, Becerra L, Dahan A, Evans AC, Soucy JP, Wise R, Zijdenbos AP, van Gerven JM	28145075 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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