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Practical workshop on EEG/MEG analysis at ICM, in parallel with FieldTrip and MNE-Python.<<BR>>Program available on the workshop website: http://practicalmeeg2019.org/ | Practical workshop on EEG/MEG analysis at ICM, in parallel with FieldTrip and MNE-Python. Program available on the workshop website: http://practicalmeeg2019.org/ |
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This hands-on part of this workshop is based on the Frontiers Research Topic "[[https://www.frontiersin.org/research-topics/5158/from-raw-megeeg-to-publication-how-to-perform-megeeg-group-analysis-with-free-academic-software|From raw MEG/EEG to publication]]": a collection of articles processing the [[https://openneuro.org/datasets/ds000117|same multimodal dataset]] using different software environments. We will process together one subject of this dataset, following the processing pipeline described in the article "[[https://www.frontiersin.org/articles/10.3389/fnins.2019.00076/full|MEG/EEG Group Analysis With Brainstorm]]". | The hands-on part of this workshop is based on the Frontiers Research Topic [[https://www.frontiersin.org/research-topics/5158/from-raw-megeeg-to-publication-how-to-perform-megeeg-group-analysis-with-free-academic-software|From raw MEG/EEG to publication]]: a collection of articles processing the [[https://openneuro.org/datasets/ds000117|same multimodal dataset]] using different software environments. We will process together one subject of this dataset, following the processing pipeline described in the article [[https://www.frontiersin.org/articles/10.3389/fnins.2019.00076/full|MEG/EEG Group Analysis With Brainstorm]] and the corresponding [[https://neuroimage.usc.edu/brainstorm/Tutorials/VisualSingle|online tutorial]]. |
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The participants are required to <<HTML(<FONT color=red>)>> '''bring a laptop''' <<HTML(</FONT>)>> (an external mouse will add to your comfort). In order to make the session as efficient as possible, we ask all the attendees to <<HTML(<FONT color=red>)>>'''download, install and test'''<<HTML(</FONT>)>> the software and sample dataset on their laptops prior to the workshop. | The participants are required to <<HTML(<FONT color=red>)>> '''bring a laptop''' <<HTML(</FONT>)>> (an external mouse will add to your comfort). In order to make the session as efficient as possible, we ask all the attendees to <<HTML(<FONT color=red>)>>'''download, install and test'''<<HTML(</FONT>)>> the software and sample dataset on their laptops prior to the workshop. |
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== Registration == To register to this event: [[https://www.labpsicologiaucm.com/news/workshop-brainstorm|Follow these instructions]] . <<EmbedContent(https://neuroimage.usc.edu/bst/workshop.js)>> . <<HTML(<!-- div id="bst_table" style=""><FORM METHOD="post" ACTION="https://neuroimage.usc.edu/bst/workshop_reg.php" name="form" onSubmit="return validateForm(this);"><TABLE><TR><TD align=right>First name * </TD> <TD><INPUT type="text" name="firstname" size=40></TD></TR> <TR><TD align=right>Last name * </TD> <TD><INPUT type="text" name="lastname" size=40></TD></TR> <TR><TD align=right>Title / Occupation * </TD> <TD><INPUT type="text" name="title" size=40></TD></TR> <TR><TD align=right>Institution * </TD> <TD><INPUT type="text" name="institution" size=40></TD></TR> <TR><TD align=right>City * </TD> <TD><INPUT type="text" name="city" size=40></TD></TR> <TR><TD align=right>Email address * </TD> <TD><INPUT type="text" name="email" size=40></TD></TR> <TR><TD align=right>Phone </TD> <TD><INPUT type="text" name="phone" size=40></TD></TR></TABLE> <BR> <BR> <INPUT type="submit" value="Register now!" style="width:200px"> <!-- A HREF="WorkshopCambridge2017Reg">View list of registered participants </A --> <BR><BR><BR><INPUT type="hidden" name="eventname" value="Cambridge2017"> </FORM> </div -->)>> |
Paris, France: December 3-5, 2019
Practical workshop on EEG/MEG analysis at ICM, in parallel with FieldTrip and MNE-Python. Program available on the workshop website: http://practicalmeeg2019.org/
The hands-on part of this workshop is based on the Frontiers Research Topic From raw MEG/EEG to publication: a collection of articles processing the same multimodal dataset using different software environments. We will process together one subject of this dataset, following the processing pipeline described in the article MEG/EEG Group Analysis With Brainstorm and the corresponding online tutorial.
General information
Where | ICM |
When | Tuesday Dec 3rd - Thursday Dec 5, 2019: 8:30-17:30 |
Instructors | Francois Tadel (Grenoble Institute of Neuroscience) Anne-Sophie Dubarry (Aix-Marseille University) Aurélien Weiss (ENS) |
Audience | Users interested in analyzing sEEG/EEG/ECoG/MEG recordings using Brainstorm. Teaching in English. |
Slides | Introduction |
Requirements
The participants are required to bring a laptop (an external mouse will add to your comfort). In order to make the session as efficient as possible, we ask all the attendees to download, install and test the software and sample dataset on their laptops prior to the workshop.
Please read carefully the following instructions:
How to prepare your laptop for the training
Program: Day 1
8:30-9:00 | Onsite assistance in installing the material for the training session |
9:00-10:00 | Lecture: Brainstorm overview (Tadel) Software structure, typical data workflow |
10:00-10:45 | Practice Database explorer MRI volumes, surfaces and anatomical atlases |
10:45-11:00 | Coffee break |
11:00-12:30 | Practice Registration EEG/MRI Review of continuous EEG recordings Frequency filters Montages and bad channels |
12:30-13:30 | Lunch |
13:30-15:00 | Practice Artifact detection Artifact correction with SSP Averaging |
15:00-15:30 | Coffee break |
15:30-16:00 | Lecture: Source modeling (Baillet) |
16:00-17:30 | Practice Head modeling, cortical source reconstruction Regions of interest (ROIs) |
Program: Day 2
9:00-9:30 | Lecture: Time-frequency (Baillet) |
9:30-10:15 | Practice Time-frequency decompositions |
10:15-10:45 | Lecture: Connectivity & resting-state (Baillet) |
10:45-11:00 | Coffee break |
11:00-12:30 | Practice Connectivity tools Statistics Scripting |
12:30-13:30 | Lunch |
13:30-17:30 | Analyze your own data Participants work in small groups (1-4 people) to analyze their own recordings |
Program: Day 3
9:00-14:00 | Analyze your own data (continued) |
14:00-16:00 | What did you find? Participants present analysis results and impressions with the rest of the group |