View source for AnyWave:BIOMAG

__NOTOC__
=BIOMAG 2020 Epilepsy Challenge=
Organizers: Jean-Michel Badier, Christian Bénar, Institut de Neurosciences des Systèmes, Marseille, France.

In order to obtain the data, please register [[https://meg.univ-amu.fr/biomag2020/download.html '''HERE'''.]]

Participants are encouraged to also subscribe to this forum where questions related to the datasets will be discussed:
[https://groups.google.com/forum/#!forum/biomag2020-epilepsy-competition forum]


==Objectives==
Two datasets of resting state MEG are provided for analysis. The objective of the challenge is to identify, localize and provide network dynamics of the interictal activity for these two patients. These datasets are obtained during simultaneous MEG and intracerebral EEG (Stereo-ElectroEncephaloGraphy, SEEG, Dubarry et al. 2014, Badier et al. 2017, Pizzo et al 2019). Participants need to provide the localization of the sources of abnormal activity as well as (if any) the network dynamics these events (Malinowska et al 2014). Results will be compared to the depth recording.

==MEG data==
Data have been recorded on two epileptic patients in the Marseille MEG laboratory at Institut de Neuroscience des Systèmes (INS) and Timone Hospital Marseille (Assistance Publique – Hôpitaux de Marseille).
The recording system is a 4D Neuroimaging 3600WH system.
Anonymized raw data sets are supplied. Bad channels are listed in a separate file. 

==MRI data==
The MRI of the patients are also supplied. In order to preserve the identification of the patients they have been defaced. Coordinates of the fiducial markers are given on the MRI volume in order to match the one used during the MEG recording.

==Results to supply==
Localization of the sources of epileptic discharges:
* Summary of the localizations with a sublobar resolution.
* Localization of selected discharges. Corresponding time should be provided and given in seconds.
* Identification of the discharges (detection) may also be provided but is optional. Time of detection also to be given in seconds.

Dynamic of the sources of epileptic discharges:
* If applicable, which is the leading region within the interictal network
* Again, this will be presented as a summary and for a selected set of events.

Results format is free; however, they should be easy to read and interpret. For instance, graphic figures will be preferred to tables.

==Evaluation criteria==
* Accuracy of the reconstructed sources at the sublobar level 
* Identification of the leading node, if any, in the interictal network.

==References==
Badier JM, Dubarry AS, Gavaret M, Chen S, Trébuchon AS, Marquis P, Régis J, Bartolomei F,  Bénar CG, Carron R.Technical solutions for simultaneous MEG and SEEG recordings: towards routine clinical useJ Phys Meas 2017 Sep 21;38(10):N118-N12 [https://www.ncbi.nlm.nih.gov/pubmed/28933353 pubmed]

Dubarry AS, Badier JM, Trébuchon-Da Fonseca A, Gavaret M, Carron R, Bartolomei F, Liégeois-Chauvel C, Régis J, Chauvel P, Alario FX, Bénar C. Simultaneous recording of MEG, EEG and intracerebral EEG during visual stimulation: From feasibility to single-trial analysis. Neuroimage. 2014 Oct 1;99:548-58. [https://www.ncbi.nlm.nih.gov/pubmed/24862073 pubmed]

Malinowska U, Badier JM, Gavaret M, Bartolomei F, Chauvel P, Bénar C-G. Interictal networks revealed by magnetoencephalography and intracerebral EEG Hum Brain Mapp. 2014 Jun;35(6):2789-805 [https://www.ncbi.nlm.nih.gov/pubmed/24105895 pubmed]

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. Deep brain activities can be detected with magnetoencephalography. Nat Commun. 2019 Feb 27;10(1):971. [https://www.ncbi.nlm.nih.gov/pubmed/30814498 pubmed]