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__NOTOC__
= Events =
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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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PAST Events
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* Article sur centre MEG dans la Marseillaise,dans le cadre de l'inauguration de l'ILCB: [[File:article ILCB la Marseillaise.pdf|Article sur centre MEG dans la Marseillaise]]
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* '''[[EPJB2017|Ecole Pratique Jean Bancaud, Antibes 15-17 mai 2017]]'''
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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 Marseille MEG platform.=
 
= The Marseille MEG platform.=
  
 
[[File:MEG figure1.jpg||500px|left]]
 
[[File:MEG figure1.jpg||500px|left]]
  
 
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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.
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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<br />
 
<br />
  
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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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.
  
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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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 (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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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.
  
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].
  
=== The AnyWave Software ===
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<br clear=all>
  
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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=News and Events=
The guiding principles are modularity and cross-platform portability. <br />
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The team will be present at the [https://www.eccn2023-marseille.com/ ECCN 2023] in Marseille and the [https://event.fourwaves.com/ohbm2023/pages HBM conference] in Montreal.
See [[AnyWave]].
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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 />
  
=== Staff ===
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==Recent Publications==
[[JM_Badier|Jean-Michel Badier]], technical director
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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
  
Sophie Chen, engineer
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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
  
Bruno Colombet, software developer
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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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<small>[https://www.ncbi.nlm.nih.gov/pubmed/31203661 Addressing a Deep Problem With Magnetoencephalography]. Englot DJ. Epilepsy Curr. 2019
  
Samuel Medina-Villalon, Engineer AP-HM
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see full list of [[Publications]].
  
[http://meg.univ-amu.fr/wiki/CG_Benar Christian Bénar], scientific director
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==PAST Events==
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* PracticalMEEG  [https://practicalmeeg2022.org/bouquet/ Anywave session]
  
[[File:Logos supportMEG.jpg]]
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* BIOMAG 2022 Contest [[link=AnyWave:BIOMAG|Click to access the BIOMAG Contest page]]<br/>
  
= Publications =
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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]]
=== Cognition ===
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[https://www.ncbi.nlm.nih.gov/pubmed/?term=strijkers+badier Grammatical class modulates the (left) inferior frontal gyrus within 100 milliseconds when syntactic context is predictive]. Strijkers K, Chanoine V, Munding D, Dubarry AS, Trébuchon A, Badier JM, Alario FX. Sci Rep. 2019 Mar 18;9(1):4830.
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[https://www.ncbi.nlm.nih.gov/pubmed/?term=roquet+badier Aging and Sequential Strategy Interference: A Magnetoencephalography Study in Arithmetic Problem Solving]. Roquet A, Hinault T, Badier JM, Lemaire P. Front Aging Neurosci. 2018
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* '''[[EPJB2017|Ecole Pratique Jean Bancaud, Antibes 15-17 mai 2017]]'''
  
[https://www.ncbi.nlm.nih.gov/pubmed/28505581 Spatiotemporal reorganization of the reading network in adult dyslexia.] Cavalli E, Colé P, Pattamadilok C, Badier JM, Zielinski C, Chanoine V, Ziegler JC. Cortex. 2017 Jul;92:204-221.
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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]]
  
[https://www.ncbi.nlm.nih.gov/pubmed/28195524 The Sources of Sequential Modulations of Control Processes in Arithmetic Strategies: A Magnetoencephalography Study.] Hinault T, Badier JM, Baillet S, Lemaire P. J Cogn Neurosci. 2017 Jun;29(6):1033-1043
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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>
  
[https://www.ncbi.nlm.nih.gov/pubmed/28123020 Dynamic Reconfiguration of Visuomotor-Related Functional Connectivity Networks. Brovelli A, Badier JM, Bonini F, Bartolomei F, Coulon O, Auzias G. J Neurosci. 2017 Jan 25;37(4):839-853.]
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=Staff=
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[[JM_Badier|Jean-Michel Badier]], technical director
  
[https://www.ncbi.nlm.nih.gov/pubmed/27027543 Spatio-temporal dynamics of morphological processing in visual word recognition.] Cavalli E, Colé P, Badier JM, Zielinski C, Chanoine V, & Ziegler JC. J Cogn Neurosci. 2016 Aug;28(8):1228-42.
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Bruno Colombet, software developer
  
[http://www.tandfonline.com/doi/full/10.1080/23273798.2015.1071857 On the Cortical Dynamics of Word Production : A Review of the MEG Evidence.] Munding, D., Dubarry, A.-S., & Alario, F.-X. Lang Cogn Neurosci. 2016.
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Samuel Medina-Villalon, Engineer AP-HM
  
[http://www.tandfonline.com/doi/abs/10.1080/23273798.2016.1153117 MEG studies of word production: What next?]
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[http://meg.univ-amu.fr/wiki/CG_Benar Christian Bénar], scientific director
Munding, D., Dubarry, A.-S., & Alario, F.-X. Lang Cogn Neurosci. 2016.
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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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=== Clinical research ===
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[https://www.ncbi.nlm.nih.gov/pubmed/27334988 Comparison of Brain Networks During Interictal Oscillations and Spikes on Magnetoencephalography and Intracerebral EEG.] Jmail N, Gavaret M, Bartolomei F, Chauvel P, Badier JM, Bénar CG. Brain Topogr. 2016 Sep;29(5):752-65.
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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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[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/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://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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=== Methodological developments ===
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[https://www.ncbi.nlm.nih.gov/pubmed/31292816 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. J Comput Neurosci. 2019 Aug;47(1):31-41.
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[https://www.ncbi.nlm.nih.gov/pubmed/30814498 Deep brain activities can be detected with magnetoencephalography]. Pizzo F, Roehri N, Medina Villalon S, Trébuchon A, Chen S, Lagarde S, Carron R, Gavaret M, Giusiano B, McGonigal A, Bartolomei F, Badier JM, Bénar CG. Nat Commun. 2019 Feb 27;10(1):971
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commented in
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<small>[https://www.ncbi.nlm.nih.gov/pubmed/31203661 Addressing a Deep Problem With Magnetoencephalography]. Englot DJ. Epilepsy Curr. 2019 Jun 17
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<big>and
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</big>[https://www.ncbi.nlm.nih.gov/pubmed/31129753 Intracerebral Sources Reconstructed on the Basis of High-Resolution Scalp EEG and MEG]. Lopes da Silva FH. Brain Topogr. 2019 Jul;32(4):523-526.
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</small>
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[https://www.ncbi.nlm.nih.gov/pubmed/28933353 Technical solutions for simultaneous MEG and SEEG recordings: towards routine clinical use.] Badier JM, Dubarry AS, Gavaret M, Chen S, Trébuchon AS, Marquis P, Régis J, Bartolomei F, Bénar CG, Carron R. Physiol Meas. 2017 Sep 21;38(10):N118-N127
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[https://www.ncbi.nlm.nih.gov/pubmed/28739163 Strategies for statistical thresholding of source localization maps in magnetoencephalography and estimating source extent.]
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Maksymenko K, Giusiano B, Roehri N, Bénar CG, Badier JM. J Neurosci Methods. 2017 Oct 1;290:95-104.
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[https://www.ncbi.nlm.nih.gov/pubmed/28105401 Voltage Amplifier Based on Organic Electrochemical Transistor.] Braendlein M, Lonjaret T, Leleux P, Badier JM, Malliaras GG. Adv Sci (Weinh). 2016 Sep 17;4(1):1600247.
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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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=== Reviews and book chapters===
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Electrophysiological Brain Connectivity: Theory and Implementation. He B, Astolfi L, Valdes-Sosa PA, Marinazzo D, Palva S, Benar CG, Michel CM, Koenig T. IEEE Trans Biomed Eng. 2019
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Bénar Christian-G., Badier Jean-Michel, Simultaneous recordings of MEG and intracerebral EEG, in Magnetoencephalography: From Signals to Dynamic Cortical Networks, 2nd Edition, edited by  Selma Supek and Cheryl J. Aine. In press
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[[File:Logos2023.JPG|1200px]]

Latest revision as of 14:26, 4 October 2023

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 will be present at the ECCN 2023 in Marseille and the HBM conference in Montreal.


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

Logos2023.JPG