Welcome

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Welcome to the Wiki of the Marseille MEG platform.

MEG figure1.jpg





Magnetoencephalography (MEG) consists in recording brain magnetic activity. This activity is the counterparts of the electrical activity that originate from the brain, the well-known EEG. These techniques are the only ones that are directly related to the neural activity and have enough time resolution to track brain activity. One of the great advantages of the MEG other EEG is the very small effect of the geometry of the different media of the head, especially the skull, on the signal recorded compared to EEG.

The MEG platform

The MEG laboratory of Marseille uses a 248 magnetometers MEG system (4D Neuroimaging magnes 3600), installed within the Neurophysiology department of Timone hospital (Head: F. Bartolomei)

The laboratory is equipped with stimulation apparatus that includes video projection and Stax calibrated system for auditory stimulation. It belongs to the Aix-Marseille University and is accessible to all teams involved in fundamental and clinical brain research.

The research team of the MEG laboratory is specialized in confronting results of source localization to intracerebral EEG (Dubarry et al 2014, Gavaret et al 2004, Koessler et al 2010), and in designing and optimizing signal processing methods for multimodal functional investigation of human cerebral activity (pathological and physiological) (Jmail et al 2011, Krieg et al 2011).

The Anywave Software

The MEG laboratory is currently developping a software called Anywave for the visualisation and analysis of electrophysiological data: MEG, EEG, SEEG (developper: Bruno Colombet). The guiding principles are modularity and cross-platform portability. See [1]


Staff

Jean-Michel Badier, technical director

Christian Bénar, scientific director

Sophie Chen, engineer

Bruno Colombet, sofware developer


References

Magnetic source imaging in posterior cortex epilepsies. Badier JM, Bartolomei F, Chauvel P, Bénar CG, Gavaret M. Brain Topogr. 2015 Jan;28(1):162-71.

AnyWave: A cross-platform and modular software for visualizing and processing electrophysiological signals. Colombet B, Woodman M, Badier JM, Bénar CG. J Neurosci Methods. 2015 Jan 19;242C:118-126.

Organic electrochemical transistors for clinical applications. Leleux P, Rivnay J, Lonjaret T, Badier JM, Bénar C, Hervé T, Chauvel P, Malliaras GG. Adv Healthc Mater. 2015 Jan;4(1):142-7.

Simultaneous recording of MEG, EEG and intracerebral EEG during visual stimulation: from feasibility to single-trial analysis. Dubarry AS, Badier JM, Trébuchon-Da Fonseca A, Gavaret M, Carron R, Bartolomei F, Liégeois-Chauvel C, Régis J, Chauvel P, Alario FX, Bénar CG. Neuroimage. 2014 Oct 1;99:548-58.

Conducting polymer electrodes for electroencephalography. Leleux P, Badier JM, Rivnay J, Bénar C, Hervé T, Chauvel P, Malliaras GG. Adv Healthc Mater. 2014 Apr;3(4):490-3.

Interictal networks in magnetoencephalography. Malinowska U, Badier JM, Gavaret M, Bartolomei F, Chauvel P, Bénar CG. Hum Brain Mapp. 2014 Jun;35(6):2789-805.

MEG and EEG sensitivity in a case of medial occipital epilepsy. Gavaret M, Badier JM, Bartolomei F, Bénar CG, Chauvel P. Brain Topogr. 2014 Jan;27(1):192-6

A comparison of methods for separation of transient and oscillatory signals in EEG. Jmail N, Gavaret M, Wendling F, Kachouri A, Hamadi G, Badier JM, Bénar CG. J Neurosci Methods. 2011 Aug 15;199(2):273-89.

Computational modeling of epileptic activity: from cortical sources to EEG signals. Cosandier-Rimélé D, Merlet I, Bartolomei F, Badier JM, Wendling F. J Clin Neurophysiol. 2010 Dec;27(6):465-70

Source localization of ictal epileptic activity investigated by high resolution EEG and validated by SEEG. Koessler L, Benar C, Maillard L, Badier JM, Vignal JP, Bartolomei F, Chauvel P, Gavaret M. Neuroimage. 2010 Jun;51(2):642-53.