More info on the workshop: http://practicalmeeg2019.org/
Authors:
- Alexandre Gramfort, Inria, CEA Neurospin
- Denis A. Engemann, Inria, CEA Neurospin
You will need to download data
You will need also to have installed MNE-Python on your machine. See instructions at: https://mne.tools/stable/install/mne_python.html
Before you arrive if you do not know any Python I invite you to read these tutorials: intro Python, intro Numpy.
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08:30 – 09:00 Registration, with coffee/tea + Welcome & intro
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09:00 – 10:30 Lecture 1: Data organization (Robert) and initial data processing(Alex)
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10:30 – 12:30 Hands-on: From raw to ERPs using MNE
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12:30 – 13:30 Lunch
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13:30 – 15:00 Lecture 2: Time-Frequency analysis (JM)
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15:00 – 17:00 Hands-on 2: Time-Frequency analysis using MNE
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17:00 – 17:30 Wrap-up / Q&A session
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09:00 – 10:30 Lecture 3: Forward modeling and anatomical pipeline (Alex & François)
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10:30 – 12:30 Hands-on 3: Creating head and forward models using MNE
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12:30 – 13:30 Lunch
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13:30 – 15:00 Lecture 4: Source estimation / Inverse problem
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15:00 – 17:00 Hands-on 4: Dipole fitting, distributed sources and beamformers using MNE
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17:00 – 17:30 Wrap-up / Q&A session
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09:00 – 10:30 Lecture 5: Group level analysis (Robert)
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10:30 – 12:30 Hands-on 5: Group level analysis using MNE
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12:30 – 13:30 Lunch
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13:30 – 15:00 Lecture 6: Miscellaneous topics
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15:00 – 17:00 Hands-on 2: Playground and final try out
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17:00 – 17:30 Wrap-up / Q&A session
The last session will be mostly dedicated to adressing participants' requests. We encourage you to prepare some EEG/MEG/ECoG/sEEG data you would be interested in processing with MNE. If you are coming with colleagues, try to organize small groups with similar interests (1-4 people).
The code from this tutorial is heavily inspired from this article:
Mainak Jas, Eric Larson, Denis Engemann, Jaakko Leppakangas, Samu Taulu, Matti Hamalainen,
and Alexandre Gramfort. 2018. A Reproducible MEG/EEG Group Study With the MNE Software:
Recommendations, Quality Assessments, and Good Practices.
Frontiers in Neuroscience. 12, doi: 10.3389/fnins.2018.00530
The MNE software when used in publications should be acknowledged using citations.
To cite MNE-C or the inverse imaging implementations provided by the MNE software, please use:
A. Gramfort, M. Luessi, E. Larson, D. Engemann, D. Strohmeier, C. Brodbeck, L. Parkkonen,
M. Hämäläinen, MNE software for processing MEG and EEG data, NeuroImage, Volume 86,
1 February 2014, Pages 446-460, ISSN 1053-8119, [DOI]
To cite the MNE-Python package, please use:
A. Gramfort, M. Luessi, E. Larson, D. Engemann, D. Strohmeier, C. Brodbeck, R. Goj, M. Jas,
T. Brooks, L. Parkkonen, M. Hämäläinen, MEG and EEG data analysis with MNE-Python,
Frontiers in Neuroscience, Volume 7, 2013, ISSN 1662-453X, [DOI]