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| = MEG visual tutorial: Group study = | = MEG visual tutorial: Group analysis = |
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| 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 19 subjects performing simple visual task on a large number of famous, unfamiliar and scrambled faces. This tutorial page follows another tutorial page that explains how to process [[Tutorials/VisualSingle|one single subject]] in details. Please follow this page first for instruction on how to download the dataset and prepare your Brainstorm database. |
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 simultaneous MEG/EEG recordings of 19 subjects performing simple visual task on a large number of famous, unfamiliar and scrambled faces. This tutorial follows another page that explains how to process [[Tutorials/VisualSingle|one single subject]] in details. |
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| 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)." | This dataset was obtained from the OpenfMRI project (http://www.openfmri.org), accession #ds117. It is made available under the Creative Commons Attribution 4.0 International Public License. Please cite the following reference if you use these data: <<BR>>Wakeman DG, Henson RN, [[http://www.nature.com/articles/sdata20151|A multi-subject, multi-modal human neuroimaging dataset]], Scientific Data (2015) |
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== Download and installation == You can follow this tutorial after processing the recordings for the 19 subjects (6 runs per subject) as illustrated in the [[Tutorials/VisualSingle|single subject tutorial]]. Otherwise, we provide a package that includes all the imported data, downsampled at 275Hz. * Go to the [[http://neuroimage.usc.edu/bst/download.php|Download]] page, download the file '''TutorialGroup.zip'''. * Unzip this file in your Brainstorm database folder (brainstorm_db). * In Brainstorm, menu File > Load protocol > Load from folder > Select folder '''brainstorm_db/TutorialGroup''' |
MEG visual tutorial: Group analysis
Authors: Francois Tadel, Elizabeth Bock.
The aim of this tutorial is to reproduce in the Brainstorm environment the analysis described in the SPM tutorial "Multimodal, Multisubject data fusion". The data processed here consists in simultaneous MEG/EEG recordings of 19 subjects performing simple visual task on a large number of famous, unfamiliar and scrambled faces. This tutorial follows another page that explains how to process one single subject in details.
License
This dataset was obtained from the OpenfMRI project (http://www.openfmri.org), accession #ds117. It is made available under the Creative Commons Attribution 4.0 International Public License. Please cite the following reference if you use these data:
Wakeman DG, Henson RN, A multi-subject, multi-modal human neuroimaging dataset, Scientific Data (2015)
Any questions, please contact: rik.henson@mrc-cbu.cam.ac.uk
Download and installation
You can follow this tutorial after processing the recordings for the 19 subjects (6 runs per subject) as illustrated in the single subject tutorial. Otherwise, we provide a package that includes all the imported data, downsampled at 275Hz.
Go to the Download page, download the file TutorialGroup.zip.
- Unzip this file in your Brainstorm database folder (brainstorm_db).
In Brainstorm, menu File > Load protocol > Load from folder > Select folder brainstorm_db/TutorialGroup
Topics to include
Process: Sources > Spatial smoothing