= MEG visual tutorial: Single subject =
''Authors: Francois Tadel, Elizabeth Bock. ''

The aim of this tutorial is to reproduce in the Brainstorm environment the analysis described in the SPM tutorial "[[ftp://ftp.mrc-cbu.cam.ac.uk/personal/rik.henson/wakemandg_hensonrn/Publications/SPM12_manual_chapter.pdf|Multimodal, Multisubject data fusion]]". The data processed here consists in simulateneous MEG/EEG recordings of 16 subjects performing simple visual task on a large number of famous, unfamiliar and scrambled faces.

The analysis is split in two tutorial pages: the present tutorial describes the detailed analysis of one single subject and another one that the describes the batch processing and [[Tutorials/VisualGroup|group analysis of the 16 subjects]].

Note that the operations used here are not detailed, the goal of this tutorial is not to teach Brainstorm to a new inexperienced user. For in depth explanations of the interface and the theory, please refer to the introduction tutorials.

<<TableOfContents(3,2)>>

== License ==
These  data are provided freely for research purposes only (as part of their  Award of the BioMag2010 Data Competition). If you wish to publish any of  these data, please acknowledge Daniel Wakeman and Richard Henson. The  best single reference is: "Wakeman, D. G. & Henson, R. N. A  multi-subject, multi-modal human neuroimaging dataset. Sci. Data  2:150001 doi: 10.1038/sdata.2015.1 (2015)."

Any questions, please contact: rik.henson@mrc-cbu.cam.ac.uk

== Presentation of the experiment ==
==== Experiment ====
 * 16 subjects
 * 6 runs (sessions) of approximately 10mins for each subject
 * Presentation of series of images: familiar faces, unfamiliar faces, phase-scrambled faces
 * The subject has to judge the left-right symmetry of each stimulus
 * Total of nearly 300 trials in total for each of the 3 conditions

==== MEG acquisition ====
 * Acquisition at 1100Hz with an Elekta-Neuromag VectorView system (simultaneous MEG+EEG).
 * Recorded channels (404):
  * 102 magnetometers
  * 204 planar gradiometers
  * 70 EEG electrodes recorded with a nose reference.
 * MEG data have been "cleaned" using Signal-Space Separation as implemented in MaxFilter 2.1.
 * A  Polhemus digitizer was used to digitise three fiducial points and a  large number of other points across the scalp, which can be used to  coregister the M/EEG data with the structural MRI image.

==== Subject anatomy ====

== Download and installation ==
 * '''Requirements''':  You have already followed all the introduction tutorials  and you have a  working copy of Brainstorm installed on your computer.
 * The data is hosted on this FTP site (use an FTP client such as FileZilla, not your web browser): <<BR>>ftp://ftp.mrc-cbu.cam.ac.uk/personal/rik.henson/wakemandg_hensonrn/
 * Download only the following folders (about 75Gb):
  * EmptyRoom:
  * Publications:
  * SubXX/T1:
  * SubXX/MEEG:
  * README.TXT:
 * License and dataset description
 * Go to the Download page of the Brainstorm website, and download the file: sample_group.zip

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