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Effects of Independent Component Analysis on Magnetoencephalography Source Localization in Pre-surgical Frontal Lobe Epilepsy Patients

Author(s): Pellegrino G, Xu M, Alkuwaiti A, Porras-Bettancourt M, Abbas G, Lina JM, Grova C, Kobayashi E,...

Objective: Magnetoencephalography source imaging (MSI) of interictal epileptiform discharges (IED) is a useful presurgical tool in the evaluation of drug-resistant frontal lobe epilepsy (FLE) patie...

Article GUID: 32582009
Accuracy and spatial properties of distributed magnetic source imaging techniques in the investigation of focal epilepsy patients.

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

Hum Brain Mapp. 2020 May 09;: Authors: Pellegrino G, Hedrich T, Porras-Bettancourt M, Lina JM, Aydin Ü, Hall J, Grova C, Kobayashi E

Article GUID: 32386115
Magnetoencephalography resting state connectivity patterns as indicatives of surgical outcome in epilepsy patients.

Author(s): Aydin Ü, Pellegrino G, Bin Ka'b Ali O, Abdallah C, Dubeau F, Lina JM, Kobayashi E, Grova C

J Neural Eng. 2020 Mar 18;: Authors: Aydin Ü, Pellegrino G, Bin Ka'b Ali O, Abdallah C, Dubeau F, Lina JM, Kobayashi E, Grova C

Article GUID: 32191632
Detection and Magnetic Source Imaging of Fast Oscillations (40-160 Hz) Recorded with Magnetoencephalography in Focal Epilepsy Patients.

Author(s): von Ellenrieder N, Pellegrino G, Hedrich T, Gotman J, Lina JM, Grova C, Kobayashi E

Brain Topogr. 2016 Mar;29(2):218-31 Authors: von Ellenrieder N, Pellegrino G, Hedrich T, Gotman J, Lina JM, Grova C, Kobayashi E

Article GUID: 26830767
The movement time analyser task investigated with functional near infrared spectroscopy: an ecologic approach for measuring hemodynamic response in the motor system.

Author(s): Vasta R, Cerasa A, Gramigna V, Augimeri A, Olivadese G, Pellegrino G, Martino I, Machado A, Cai Z, Caracciolo M, Grova C, Quattrone A

Aging Clin Exp Res. 2017 Apr;29(2):311-318 Authors: Vasta R, Cerasa A, Gramigna V, Augimeri A, Olivadese G, Pellegrino G, Martino I, Machado A, Cai Z, Caracciolo M, Grova C, Quattrone A

Article GUID: 27055849
Source localization of the seizure onset zone from ictal EEG/MEG data.

Author(s): Pellegrino G, Hedrich T, Chowdhury R, Hall JA, Lina JM, Dubeau F, Kobayashi E, Grova C

Hum Brain Mapp. 2016 07;37(7):2528-46 Authors: Pellegrino G, Hedrich T, Chowdhury R, Hall JA, Lina JM, Dubeau F, Kobayashi E, Grova C

Article GUID: 27059157
Clinical yield of magnetoencephalography distributed source imaging in epilepsy: A comparison with equivalent current dipole method.

Author(s): Pellegrino G, Hedrich T, Chowdhury RA, Hall JA, Dubeau F, Lina JM, Kobayashi E, Grova C

Hum Brain Mapp. 2018 01;39(1):218-231 Authors: Pellegrino G, Hedrich T, Chowdhury RA, Hall JA, Dubeau F, Lina JM, Kobayashi E, Grova C

Article GUID: 29024165
Reproducibility of EEG-MEG fusion source analysis of interictal spikes: Relevance in presurgical evaluation of epilepsy.

Author(s): Chowdhury RA, Pellegrino G, Aydin Ü, Lina JM, Dubeau F, Kobayashi E, Grova C

Hum Brain Mapp. 2018 02;39(2):880-901 Authors: Chowdhury RA, Pellegrino G, Aydin Ü, Lina JM, Dubeau F, Kobayashi E, Grova C

Article GUID: 29164737
Optimal positioning of optodes on the scalp for personalized functional near-infrared spectroscopy investigations.

Author(s): Machado A, Cai Z, Pellegrino G, Marcotte O, Vincent T, Lina JM, Kobayashi E, Grova C

J Neurosci Methods. 2018 Nov 01;309:91-108 Authors: Machado A, Cai Z, Pellegrino G, Marcotte O, Vincent T, Lina JM, Kobayashi E, Grova C

Article GUID: 30107210
Comparison of the spatial resolution of source imaging techniques in high-density EEG and MEG.

Author(s): Hedrich T, Pellegrino G, Kobayashi E, Lina JM, Grova C

Neuroimage. 2017 08 15;157:531-544 Authors: Hedrich T, Pellegrino G, Kobayashi E, Lina JM, Grova C

Article GUID: 28619655
Title:Comparison of the spatial resolution of source imaging techniques in high-density EEG and MEG.
Authors:Hedrich T,  Pellegrino G,  Kobayashi E,  Lina JM,  Grova C
Link:https://www.ncbi.nlm.nih.gov/pubmed/28619655?dopt=Abstract
DOI:10.1016/j.neuroimage.2017.06.022
Category:Neuroimage
PMID:28619655
Dept Affiliation: PERFORM
1 Multimodal Functional Imaging Lab, Biomedical Engineering Dpt., McGill University, Montreal, Canada. Electronic address: tanguy.hedrich@mail.mcgill.ca.
2 Multimodal Functional Imaging Lab, Biomedical Engineering Dpt., McGill University, Montreal, Canada; Neurology and Neurosurgery Department, Montreal Neurological Institute (MNI), McGill University, Montreal, Canada; San Camillo Hospital IRCCS, Venice, Italy.
3 Neurology and Neurosurgery Department, Montreal Neurological Institute (MNI), McGill University, Montreal, Canada.
4 Département de Génie Électrique, École de Technologie Supérieure, Canada; Centre de recherches mathémathiques, Université de Montréal, Montreal, Canada; Center for Advanced Research on Sleep Medecine (CEAMS), hôpital du Sacré-Coeur, Montreal, Canada.
5 Multimodal Functional Imaging Lab, Biomedical Engineering Dpt., McGill University, Montreal, Canada; Neurology and Neurosurgery Department, Montreal Neurological Institute (MNI), McGill University, Montreal, Canada; Physics Dpt., PERFORM Centre, Concordia University, Canada; Centre de recherches mathémathiques, Université de Montréal, Montreal, Canada.

Description:

Comparison of the spatial resolution of source imaging techniques in high-density EEG and MEG.

Neuroimage. 2017 08 15;157:531-544

Authors: Hedrich T, Pellegrino G, Kobayashi E, Lina JM, Grova C

Abstract

BACKGROUND: The present study aims at evaluating and comparing electrical and magnetic distributed source imaging methods applied to high-density Electroencephalography (hdEEG) and Magnetoencephalography (MEG) data. We used resolution matrices to characterize spatial resolution properties of Minimum Norm Estimate (MNE), dynamic Statistical Parametric Mapping (dSPM), standardized Low-Resolution Electromagnetic Tomography (sLORETA) and coherent Maximum Entropy on the Mean (cMEM, an entropy-based technique). The resolution matrix provides information of the Point Spread Functions (PSF) and of the Crosstalk functions (CT), this latter being also called source leakage, as it reflects the influence of a source on its neighbors.

METHODS: The spatial resolution of the inverse operators was first evaluated theoretically and then with real data acquired using electrical median nerve stimulation on five healthy participants. We evaluated the Dipole Localization Error (DLE) and the Spatial Dispersion (SD) of each PSF and CT map.

RESULTS: cMEM showed the smallest spatial spread (SD) for both PSF and CT maps, whereas localization errors (DLE) were similar for all methods. Whereas cMEM SD values were lower in MEG compared to hdEEG, the other methods slightly favored hdEEG over MEG. In real data, cMEM provided similar localization error and significantly less spatial spread than other methods for both MEG and hdEEG. Whereas both MEG and hdEEG provided very accurate localizations, all the source imaging methods actually performed better in MEG compared to hdEEG according to all evaluation metrics, probably due to the higher signal-to-noise ratio of the data in MEG.

CONCLUSION: Our overall results show that all investigated methods provide similar localization errors, suggesting very accurate localization for both MEG and hdEEG when similar number of sensors are considered for both modalities. Intrinsic properties of source imaging methods as well as their behavior for well-controlled tasks, suggest an overall better performance of cMEM in regards to spatial resolution and spatial leakage for both hdEEG and MEG. This indicates that cMEM would be a good candidate for studying source localization of focal and extended generators as well as functional connectivity studies.

PMID: 28619655 [PubMed - indexed for MEDLINE]