= 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. <> == 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 ==== * MRI data acquired on a 3T Siemens TIM Trio: 1x1x1mm T1-weighted structural MRI * Processed with FreeSurfer 5.3 == 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): <
>ftp://ftp.mrc-cbu.cam.ac.uk/personal/rik.henson/wakemandg_hensonrn/ * Download only the following folders (about 75Gb): * '''EmptyRoom''': Contains 3 sub-directories of empty-room recordings of 3-5mins acquired at roughly the same time of year (spring 2009) as the 16 subjects. The sub-directory names are Year (first 2 digits), Month (second 2 digits) and Day (third 2 digits). Inside each are 2 raw *.fif files: one for which basic SSS has been applied by maxfilter in a similar manner to the subject data above, and one (*-noSSS.fif) for which SSS has not been applied (though the data have been passed through maxfilter just to convert to float format). * '''Publications''': Reference publications related with this dataset. * '''SubXX/T1''': T1 MR scan and digitized positions (fiducials and headpoints). * '''SubXX/MEEG''': MEG and EEG recordings in FIF format and triggers definition files. * '''README.TXT''': License and dataset description. * The output of the FreeSurfer segmentation of the T1 structural images are not part of this package. You can either process them by yourself, or download the result of the segmentation on this website. Go to the [[http://neuroimage.usc.edu/bst/download.php|Download]] page, and download the file: '''sample_group.zip ''' <>