Literature DB >> 24862073

Simultaneous recording of MEG, EEG and intracerebral EEG during visual stimulation: from feasibility to single-trial analysis.

Anne-Sophie Dubarry1, Jean-Michel Badier2, Agnès Trébuchon-Da Fonseca3, Martine Gavaret3, Romain Carron4, Fabrice Bartolomei3, Catherine Liégeois-Chauvel5, Jean Régis6, Patrick Chauvel3, F-Xavier Alario7, Christian-G Bénar2.   

Abstract

Electroencephalography (EEG), magnetoencephalography (MEG), and intracerebral stereotaxic EEG (SEEG) are the three neurophysiological recording techniques, which are thought to capture the same type of brain activity. Still, the relationships between non-invasive (EEG, MEG) and invasive (SEEG) signals remain to be further investigated. In early attempts at comparing SEEG with either EEG or MEG, the recordings were performed separately for each modality. However such an approach presents substantial limitations in terms of signal analysis. The goal of this technical note is to investigate the feasibility of simultaneously recording these three signal modalities (EEG, MEG and SEEG), and to provide strategies for analyzing this new kind of data. Intracerebral electrodes were implanted in a patient with intractable epilepsy for presurgical evaluation purposes. This patient was presented with a visual stimulation paradigm while the three types of signals were simultaneously recorded. The analysis started with a characterization of the MEG artifact caused by the SEEG equipment. Next, the average evoked activities were computed at the sensor level, and cortical source activations were estimated for both the EEG and MEG recordings; these were shown to be compatible with the spatiotemporal dynamics of the SEEG signals. In the average time-frequency domain, concordant patterns between the MEG/EEG and SEEG recordings were found below the 40 Hz level. Finally, a fine-grained coupling between the amplitudes of the three recording modalities was detected in the time domain, at the level of single evoked responses. Importantly, these correlations have shown a high level of spatial and temporal specificity. These findings provide a case for the ability of trimodal recordings (EEG, MEG, and SEEG) to reach a greater level of specificity in the investigation of brain signals and functions.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  EEG; MEG; SEEG; Simultaneous recordings; Single-trial analysis

Mesh:

Year:  2014        PMID: 24862073     DOI: 10.1016/j.neuroimage.2014.05.055

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  14 in total

Review 1.  Intracranial Electrophysiology of the Human Default Network.

Authors:  Kieran C R Fox; Brett L Foster; Aaron Kucyi; Amy L Daitch; Josef Parvizi
Journal:  Trends Cogn Sci       Date:  2018-03-07       Impact factor: 20.229

2.  The inferior occipital gyrus is a major cortical source of the face-evoked N170: Evidence from simultaneous scalp and intracerebral human recordings.

Authors:  Corentin Jacques; Jacques Jonas; Louis Maillard; Sophie Colnat-Coulbois; Laurent Koessler; Bruno Rossion
Journal:  Hum Brain Mapp       Date:  2018-11-12       Impact factor: 5.038

3.  Electrophysiological Brain Connectivity: Theory and Implementation.

Authors:  Bin He; Laura Astolfi; Pedro A Valdes-Sosa; Daniele Marinazzo; Satu Palva; Christian G Benar; Christoph M Michel; Thomas Koenig
Journal:  IEEE Trans Biomed Eng       Date:  2019-05-07       Impact factor: 4.538

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

Authors:  Christophe Grova; Maria Aiguabella; Rina Zelmann; Jean-Marc Lina; Jeffery A Hall; Eliane Kobayashi
Journal:  Hum Brain Mapp       Date:  2016-03-02       Impact factor: 5.038

5.  Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy.

Authors:  Christos Papadelis; Eleonora Tamilia; Steven Stufflebeam; Patricia E Grant; Joseph R Madsen; Phillip L Pearl; Naoaki Tanaka
Journal:  J Vis Exp       Date:  2016-12-06       Impact factor: 1.355

6.  Auditory Target and Novelty Processing in Patients with Unilateral Hippocampal Sclerosis: A Current-Source Density Study.

Authors:  Adrià Vilà-Balló; Clément François; David Cucurell; Júlia Miró; Mercè Falip; Montserrat Juncadella; Antoni Rodríguez-Fornells
Journal:  Sci Rep       Date:  2017-05-09       Impact factor: 4.379

Review 7.  Magnetoencephalography as a Tool in Psychiatric Research: Current Status and Perspective.

Authors:  Peter J Uhlhaas; Peter Liddle; David E J Linden; Anna C Nobre; Krish D Singh; Joachim Gross
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2017-04

8.  Deep brain activities can be detected with magnetoencephalography.

Authors:  F Pizzo; N Roehri; S Medina Villalon; A Trébuchon; S Chen; S Lagarde; R Carron; M Gavaret; B Giusiano; A McGonigal; F Bartolomei; J M Badier; C G Bénar
Journal:  Nat Commun       Date:  2019-02-27       Impact factor: 14.919

9.  Dynamic analysis on simultaneous iEEG-MEG data via hidden Markov model.

Authors:  Siqi Zhang; Chunyan Cao; Andrew Quinn; Umesh Vivekananda; Shikun Zhan; Wei Liu; Bomin Sun; Mark Woolrich; Qing Lu; Vladimir Litvak
Journal:  Neuroimage       Date:  2021-03-01       Impact factor: 6.556

10.  MRI Guided Brain Stimulation without the Use of a Neuronavigation System.

Authors:  Ehsan Vaghefi; Peng Cai; Fang Fang; Winston D Byblow; Cathy M Stinear; Benjamin Thompson
Journal:  Biomed Res Int       Date:  2015-08-27       Impact factor: 3.411

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