Keyword search (4,163 papers available)

"EEG" Keyword-tagged Publications:

Title Authors PubMed ID
1 How vigilance states influence source imaging of physiological brain oscillations: evidence from intracranial EEG Wei X; Afnan J; Avigdor T; von Ellenrieder N; Delaire É; Royer J; Ho A; Minato E; Schiller K; Jaber K; Wang YL; Moye M; Bernhardt BC; Lina JM; Grova C; Frauscher B; 41687693
SOH
2 Biotuner: A python toolbox integrating music theory and signal processing for harmonic analysis of physiological and natural time series Bellemare-Pepin A; Jerbi K; 41269470
PSYCHOLOGY
3 Assessment of cognitive load in the context of neurosurgery Di Giovanni DA; Kersten-Oertel M; Drouin S; Collins DL; 40650801
PERFORM
4 The Awakening Brain is Characterized by a Widespread and Spatiotemporally Heterogeneous Increase in High Frequencies Avigdor T; Ren G; Abdallah C; Dubeau F; Grova C; Frauscher B; 40126936
PERFORM
5 Correlations of pilot trainees brainwave dynamics with subjective performance evaluations: insights from EEG microstate analysis Zhao M; Law A; Su C; Jennings S; Bourgon A; Jia W; Larose MH; Bowness D; Zeng Y; 40109507
ENCS
6 A protocol for trustworthy EEG decoding with neural networks Borra D; Magosso E; Ravanelli M; 39549492
ENCS
7 Monitoring pilot trainees' cognitive control under a simulator-based training process with EEG microstate analysis Zhao M; Jia W; Jennings S; Law A; Bourgon A; Su C; Larose MH; Grenier H; Bowness D; Zeng Y; 39428425
ENCS
8 EEG-based study of design creativity: a review on research design, experiments, and analysis Zangeneh Soroush M; Zeng Y; 39148896
ENCS
9 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
10 Sleep spindles predict stress-related increases in sleep disturbances Dang-Vu TT; Salimi A; Boucetta S; Wenzel K; O' Byrne J; Brandewinder M; Berthomier C; Gouin JP; 25713529
PERFORM
11 Systematic review of seizure-onset patterns in stereo-electroencephalography: Current state and future directions Abdallah C; Mansilla D; Minato E; Grova C; Beniczky S; Frauscher B; 38733701
PERFORM
12 A Pilot Randomized Trial of Combined Cognitive-Behavioral Therapy and Exercise Training Versus Exercise Training Alone for the Management of Chronic Insomnia in Obstructive Sleep Apnea Cammalleri A; Perrault AA; Hillcoat A; Carrese-Chacra E; Tarelli L; Patel R; Baltzan M; Chouchou F; Dang-Vu TT; Gouin JP; Pepin V; 38663849
PERFORM
13 Loosely controlled experimental EEG datasets for higher-order cognitions in design and creativity tasks Zangeneh Soroush M; Zhao M; Jia W; Zeng Y; 38152489
ENCS
14 The effects of acute exercise and a nap on heart rate variability and memory in young sedentary adults Mograss M; Frimpong E; Vilcourt F; Chouchou F; Zvionow T; Dang-Vu TT; 37855092
PERFORM
15 The neurophysiology of closed-loop auditory stimulation in sleep: A magnetoencephalography study Jourde HR; Merlo R; Brooks M; Rowe M; Coffey EBJ; 37675803
CONCORDIA
16 Dynamic networks differentiate the language ability of children with cochlear implants Koirala N; Deroche MLD; Wolfe J; Neumann S; Bien AG; Doan D; Goldbeck M; Muthuraman M; Gracco VL; 37409105
PSYCHOLOGY
17 Validating MEG source imaging of resting state oscillatory patterns with an intracranial EEG atlas Afnan J; von Ellenrieder N; Lina JM; Pellegrino G; Arcara G; Cai Z; Hedrich T; Abdallah C; Khajehpour H; Frauscher B; Gotman J; Grova C; 37149236
PERFORM
18 Neurophysiology, Neuropsychology, and Epilepsy, in 2022: Hills We Have Climbed and Hills Ahead. Neurophysiology in epilepsy Frauscher B; Bénar CG; Engel JJ; Grova C; Jacobs J; Kahane P; Wiebe S; Zjilmans M; Dubeau F; 37119580
PERFORM
19 EEG complexity during mind wandering: A multiscale entropy investigation Cnudde K; Kim G; Murch WS; Handy TC; Protzner AB; Kam JWY; 36621593
CONCORDIA
20 Neural evidence for age-related deficits in the representation of state spaces Ruel A; Bolenz F; Li SC; Fischer A; Eppinger B; 35510942
PERFORM
21 DF-SSmVEP: Dual Frequency Aggregated Steady-State Motion Visual Evoked Potential Design with Bifold Canonical Correlation Analysis Karimi R; Mohammadi A; Asif A; Benali H; 35408182
ENCS
22 Data-driven beamforming technique to attenuate ballistocardiogram artefacts in electroencephalography-functional magnetic resonance imaging without detecting cardiac pulses in electrocardiography recordings Uji M; Cross N; Pomares FB; Perrault AA; Jegou A; Nguyen A; Aydin U; Lina JM; Dang-Vu TT; Grova C; 34101939
PERFORM
23 Arcuate fasciculus architecture is associated with individual differences in pre-attentive detection of unpredicted music changes Vaquero L; Ramos-Escobar N; Cucurell D; François C; Putkinen V; Segura E; Huotilainen M; Penhune V; Rodríguez-Fornells A; 33454403
MLNP
24 PASS: A Multimodal Database of Physical Activity and Stress for Mobile Passive Body/ Brain-Computer Interface Research Parent M; Albuquerque I; Tiwari A; Cassani R; Gagnon JF; Lafond D; Tremblay S; Falk TH; 33363449
PERFORM
25 Source imaging of deep-brain activity using the regional spatiotemporal Kalman filter Hamid L; Habboush N; Stern P; Japaridze N; Aydin Ü; Wolters CH; Claussen JC; Heute U; Stephani U; Galka A; Siniatchkin M; 33250282
PERFORM
26 Brain Rhythms During Sleep and Memory Consolidation: Neurobiological Insights. Marshall L, Cross N, Binder S, Dang-Vu TT 31799908
PERFORM
27 Speech perception in tinnitus is related to individual distress level - A neurophysiological study. Jagoda L, Giroud N, Neff P, Kegel A, Kleinjung T, Meyer M 30031353
PSYCHOLOGY
28 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
29 Influence of Head Tissue Conductivity Uncertainties on EEG Dipole Reconstruction. Vorwerk J, Aydin Ü, Wolters CH, Butson CR 31231178
PERFORM
30 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
31 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
32 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
33 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
34 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
35 Cortical reactivations during sleep spindles following declarative learning. Jegou A, Schabus M, Gosseries O, Dahmen B, Albouy G, Desseilles M, Sterpenich V, Phillips C, Maquet P, Grova C, Dang-Vu TT 30928690
PERFORM
36 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: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
Publication:Human brain mapping
Keywords:epilepsyepilepsy surgeryepileptic spikesintracranial EEGmagnetic resonance imagingmagnetic source imagingneurophysiologypresurgical investigationsource localization
PMID:26931511 Category:Hum Brain Mapp Date Added:2019-06-04
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]





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