Keyword search (3,681 papers available)


Birth weight is associated with adolescent brain development: A multimodal imaging study in monozygotic twins.

Author(s): 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...

Previous research has shown that the prenatal environment, commonly indexed by birth weight (BW), is a predictor of morphological brain development. We previously showed in monozygotic (MZ) twins a...

Article GUID: 32881198

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

Birth weight discordance, DNA methylation, and cortical morphology of adolescent monozygotic twins.

Author(s): Casey KF, Levesque ML, Szyf M, Ismaylova E, Verner MP, Suderman M, Vitaro F, Brendgen M, Dionne G, Boivin M, Tremblay RE, Booij L

Hum Brain Mapp. 2017 04;38(4):2037-2050 Authors: Casey KF, Levesque ML, Szyf M, Ismaylova E, Verner MP, Suderman M, Vitaro F, Brendgen M, Dionne G, Boivin M, Tremblay RE, Booij L

Article GUID: 28032437

Intracranial EEG potentials estimated from MEG sources: A new approach to correlate MEG and iEEG data in epilepsy.

Author(s): Grova C, Aiguabella M, Zelmann R, Lina JM, Hall JA, Kobayashi E

Hum Brain Mapp. 2016 May;37(5):1661-83 Authors: Grova C, Aiguabella M, Zelmann R, Lina JM, Hall JA, Kobayashi E

Article GUID: 26931511

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

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.

Author(s): 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...

Hum Brain Mapp. 2017 04;38(4):2276-2325 Authors: 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 G...

Article GUID: 28145075


Title:Intracranial EEG potentials estimated from MEG sources: A new approach to correlate MEG and iEEG data in epilepsy.
Authors:Grova CAiguabella MZelmann RLina JMHall JAKobayashi E
Link:https://www.ncbi.nlm.nih.gov/pubmed/26931511?dopt=Abstract
DOI:10.1002/hbm.23127
Category:Hum Brain Mapp
PMID:26931511
Dept Affiliation: PERFORM
1 Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, Québec, Canada.
2 Multimodal Functional Imaging Lab, Biomedical Engineering Department, McGill University, Montreal, Québec, Canada.
3 Physics Department and PERFORM Centre, Concordia University, Montreal, Québec, Canada.
4 Centre De Recherches En Mathématiques, Montreal, Québec, Canada.
5 Electrical Engineering Department, Ecole De Technologie Supérieure, Montreal, Québec, Canada.
6 Centre D'etudes Avancées En Médecine Du Sommeil, Centre De Recherche De L'hôpital Sacré-Coeur De Montréal, Montreal, Québec, Canada.

Description:

Intracranial EEG potentials estimated from MEG sources: A new approach to correlate MEG and iEEG data in epilepsy.

Hum Brain Mapp. 2016 May;37(5):1661-83

Authors: Grova C, Aiguabella M, Zelmann R, Lina JM, Hall JA, Kobayashi E

Abstract

Detection of epileptic spikes in MagnetoEncephaloGraphy (MEG) requires synchronized neuronal activity over a minimum of 4cm2. We previously validated the Maximum Entropy on the Mean (MEM) as a source localization able to recover the spatial extent of the epileptic spike generators. The purpose of this study was to evaluate quantitatively, using intracranial EEG (iEEG), the spatial extent recovered from MEG sources by estimating iEEG potentials generated by these MEG sources. We evaluated five patients with focal epilepsy who had a pre-operative MEG acquisition and iEEG with MRI-compatible electrodes. Individual MEG epileptic spikes were localized along the cortical surface segmented from a pre-operative MRI, which was co-registered with the MRI obtained with iEEG electrodes in place for identification of iEEG contacts. An iEEG forward model estimated the influence of every dipolar source of the cortical surface on each iEEG contact. This iEEG forward model was applied to MEG sources to estimate iEEG potentials that would have been generated by these sources. MEG-estimated iEEG potentials were compared with measured iEEG potentials using four source localization methods: two variants of MEM and two standard methods equivalent to minimum norm and LORETA estimates. Our results demonstrated an excellent MEG/iEEG correspondence in the presumed focus for four out of five patients. In one patient, the deep generator identified in iEEG could not be localized in MEG. MEG-estimated iEEG potentials is a promising method to evaluate which MEG sources could be retrieved and validated with iEEG data, providing accurate results especially when applied to MEM localizations. Hum Brain Mapp 37:1661-1683, 2016. © 2016 Wiley Periodicals, Inc.

PMID: 26931511 [PubMed - indexed for MEDLINE]