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__NOTOC__
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= The Marseille MEG platform.=
  
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== Events ==
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[[File:MEG figure1.jpg||500px|left]]
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[[MEG:Formations_et_Animations| '''Prochaine réunion du Club MEG''']]
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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 conductivity of the different media of the head, especially the skull, compared to EEG.
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<br />
  
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'''Formation Fieldtrip 11-13 janvier 2016 '''[[File:Formation fieldtrip2016.JPG|40px]]
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The MEG laboratory of Marseille uses a 248 magnetometers MEG system (4D Neuroimaging magnes 3600). It is part of the [https://ins-amu.fr/ Institut de Neurosciences des Systèmes] (INS, Head V. Jirsa), and is installed within the Neurophysiology department of the Timone hospital (Head: F. Bartolomei). The system was co-financed by: Conseil Régional PACA, Conseil Général 13, Conseil Général 06, Marseille Provence Métropole, INSERM, CNRS, INRIA. It is currently co-financed by Aix-Marseille Université (though France Life Imaging)  and INSERM.
  
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== Welcome to the Wiki of the Marseille MEG platform.==
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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, and has the label "plateforme technologique". The platform is involved in a day hospital with AP-HM for presurgical evaluation of patients with epilepsy
  
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[[File:MEG figure1.jpg||500px|left]]
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The research team of the MEG laboratory is specialized in confronting results of source localization to intracerebral EEG and in designing and optimizing signal processing methods for multimodal functional investigation of human cerebral activity (pathological and physiological). See [[Dynamap]] page.
  
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For a list of publications from the teams associated with the MEG platform, see [[Publications]].
  
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For list of equipement and how to submit a project, see [https://www.ibisa.net/plateformes/magneto-encephalographie-meg-630.html IBISA website].
  
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<br clear=all>
  
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=News and Events=
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The team was present in two symposia at [https://www.biomag2024.org/cms/ BIOMAG 2024]
  
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The Amidex industrial chair 'NewMeg Marseille' will start soon....
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<br clear=all>
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<br />
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<!--[[MEG:Formations_et_Animations| '''Prochaine réunion du Club MEG''']]-->
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<br />
  
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==Recent Publications==
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López-Madrona VJ, Medina Villalon S, Badier JM, Trébuchon A, Jayabal V, Bartolomei F, Carron R, Barborica A, Vulliémoz S, Alario FX, Bénar CG. [https://pubmed.ncbi.nlm.nih.gov/35766240/ Magnetoencephalography can reveal deep brain network activities linked to memory processes.] Hum Brain Mapp. 2022 Oct 15;43(15):4733-4749. doi: 10.1002/hbm.25987. Epub 2022 Jun 29. PMID: 35766240
  
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Velmurugan J, Badier JM, Pizzo F, Medina Villalon S, Papageorgakis C, López-Madrona V, Jegou A, Carron R, Bartolomei F, Bénar CG. [https://pubmed.ncbi.nlm.nih.gov/36270623/ Virtual MEG sensors based on beamformer and independent component analysis can reconstruct epileptic activity as measured on simultaneous intracerebral recordings.] Neuroimage. 2022 Dec 1;264:119681. doi: 10.1016/j.neuroimage.2022.119681. Epub 2022 Oct 18. PMID: 36270623
  
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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.
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Pizzo F et al [https://www.ncbi.nlm.nih.gov/pubmed/30814498 Deep brain activities can be detected with magnetoencephalography]. Nat Commun. 2019 commented in
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<br />
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<small>[https://www.ncbi.nlm.nih.gov/pubmed/31203661 Addressing a Deep Problem With Magnetoencephalography]. Englot DJ. Epilepsy Curr. 2019
  
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=== The MEG platform ===
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see full list of [[Publications]].
  
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==PAST Events==
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* PracticalMEEG  [https://practicalmeeg2022.org/bouquet/ Anywave session]
  
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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 system was co-financed by: Conseil Régional PACA, Conseil Général 13, Conseil Général 06, Marseille Provence Métropole, INSERM, CNRS, INRIA. It is currently co-financed by Aix-Marseille Université (though France Life Imaging)  and INSERM.
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* BIOMAG 2022 Contest [[link=AnyWave:BIOMAG|Click to access the BIOMAG Contest page]]<br/>
  
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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.
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* Article on MEG in "la Marseillaise", in the context of ILCB opening: [[File:article ILCB la Marseillaise.pdf|Article sur centre MEG dans la Marseillaise]]
  
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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).
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* '''[[EPJB2017|Ecole Pratique Jean Bancaud, Antibes 15-17 mai 2017]]'''
  
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=== The AnyWave Software ===
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* Connectivity training with Fieldtrip 21-22 novembre 2016 [[File:Fiche annonce - Connectivité en MEG et EEG - 2016.pdf]] external link [[http://www.fieldtriptoolbox.org/workshop/marseille2016b]]
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The MEG laboratory is currently developping a software called Anywave for the visualisation and analysis of electrophysiological data: MEG, EEG, SEEG (developper: Bruno Colombet, with help from M. Woodman, Engineer financed by Fondation pour la recherche medicale).<br />
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The guiding principles are modularity and cross-platform portability. <br />
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See [[AnyWave]].
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=== Staff ===
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=The AnyWave Software=
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[[Image:AnyWave.png|left|600px|link=AnyWave|Click to go to the AnyWave section]]
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<br clear=all>
  
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=Staff=
 
[[JM_Badier|Jean-Michel Badier]], technical director
 
[[JM_Badier|Jean-Michel Badier]], technical director
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Christian Bénar, scientific director
 
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Sophie Chen, engineer
 
  
 
Bruno Colombet, software developer
 
Bruno Colombet, software developer
  
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=== Publications ===
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Samuel Medina-Villalon, Engineer AP-HM
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[http://www.tandfonline.com/doi/full/10.1080/23273798.2015.1071857 On the Cortical Dynamics of Word Production : A Review of the MEG Evidence.]
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Munding, D., Dubarry, A.-S., & Alario, F.-X. Lang Cogn Neurosci. 2016.
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[http://www.tandfonline.com/doi/abs/10.1080/23273798.2016.1153117 MEG studies of word production: What next?]
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Munding, D., Dubarry, A.-S., & Alario, F.-X. Lang Cogn Neurosci. 2016.
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[http://www.ncbi.nlm.nih.gov/pubmed/27027543 Spatiotemporal Dynamics of Morphological Processing in Visual Word Recognition.]
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Cavalli E, Colé P, Badier JM, Zielinski C, Chanoine V, Ziegler JC. J Cogn Neurosci. 2016 Mar 30:1-15
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[http://www.ncbi.nlm.nih.gov/pubmed/26264375 Ictal Magnetic Source Imaging in Presurgical Assessment.] Badier JM, Bénar CG, Woodman M, Cruto C, Chauvel P, Bartolomei F, Gavaret M. Brain Topogr. 2016 Jan;29(1):182-92.
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Brain Topogr. 2016 Jan;29(1):182-92.
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[http://www.ncbi.nlm.nih.gov/pubmed/25352165 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.
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[http://www.ncbi.nlm.nih.gov/pubmed/26377456 Characterization of Cortical Networks and Corticocortical Functional Connectivity Mediating Arbitrary Visuomotor Mapping.] Brovelli A, Chicharro D, Badier JM, Wang H, Jirsa V. J Neurosci. 2015 Sep 16;35(37):12643-58.
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[http://www.ncbi.nlm.nih.gov/pubmed/25614386 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.
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[http://www.ncbi.nlm.nih.gov/pubmed/25262967 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.
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[http://www.ncbi.nlm.nih.gov/pubmed/24862073. 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.
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[http://www.ncbi.nlm.nih.gov/pubmed/24106008 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.
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[http://www.ncbi.nlm.nih.gov/pubmed/24105895 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.
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[http://meg.univ-amu.fr/wiki/CG_Benar Christian Bénar], scientific director
  
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[http://www.ncbi.nlm.nih.gov/pubmed/24005334 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
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[[File:logos wiki 2024.jpg|1200px]]

Latest revision as of 09:14, 20 September 2024

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 conductivity of the different media of the head, especially the skull, compared to EEG.

The MEG laboratory of Marseille uses a 248 magnetometers MEG system (4D Neuroimaging magnes 3600). It is part of the Institut de Neurosciences des Systèmes (INS, Head V. Jirsa), and is installed within the Neurophysiology department of the Timone hospital (Head: F. Bartolomei). The system was co-financed by: Conseil Régional PACA, Conseil Général 13, Conseil Général 06, Marseille Provence Métropole, INSERM, CNRS, INRIA. It is currently co-financed by Aix-Marseille Université (though France Life Imaging) and INSERM.

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, and has the label "plateforme technologique". The platform is involved in a day hospital with AP-HM for presurgical evaluation of patients with epilepsy

The research team of the MEG laboratory is specialized in confronting results of source localization to intracerebral EEG and in designing and optimizing signal processing methods for multimodal functional investigation of human cerebral activity (pathological and physiological). See Dynamap page.

For a list of publications from the teams associated with the MEG platform, see Publications.

For list of equipement and how to submit a project, see IBISA website.


News and Events

The team was present in two symposia at BIOMAG 2024

The Amidex industrial chair 'NewMeg Marseille' will start soon....


Recent Publications

López-Madrona VJ, Medina Villalon S, Badier JM, Trébuchon A, Jayabal V, Bartolomei F, Carron R, Barborica A, Vulliémoz S, Alario FX, Bénar CG. Magnetoencephalography can reveal deep brain network activities linked to memory processes. Hum Brain Mapp. 2022 Oct 15;43(15):4733-4749. doi: 10.1002/hbm.25987. Epub 2022 Jun 29. PMID: 35766240

Velmurugan J, Badier JM, Pizzo F, Medina Villalon S, Papageorgakis C, López-Madrona V, Jegou A, Carron R, Bartolomei F, Bénar CG. Virtual MEG sensors based on beamformer and independent component analysis can reconstruct epileptic activity as measured on simultaneous intracerebral recordings. Neuroimage. 2022 Dec 1;264:119681. doi: 10.1016/j.neuroimage.2022.119681. Epub 2022 Oct 18. PMID: 36270623

Pizzo F et al Deep brain activities can be detected with magnetoencephalography. Nat Commun. 2019 commented in Addressing a Deep Problem With Magnetoencephalography. Englot DJ. Epilepsy Curr. 2019

see full list of Publications.

PAST Events

The AnyWave Software

Click to go to the AnyWave section


Staff

Jean-Michel Badier, technical director

Bruno Colombet, software developer

Samuel Medina-Villalon, Engineer AP-HM

Christian Bénar, scientific director

Logos wiki 2024.jpg

Retrieved from "https://meg.univ-amu.fr/index.php?title=Welcome&oldid=26246"