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| = Montreal, Canada: August 19-20, 2021 = Virtual Brainstorm training session. <<BR>> Introduction to MEG analysis with Brainstorm, part of IPN Summer School at McGill University. |
= Montreal, Canada: June 8, 2023 = In-person Brainstorm training session. <<BR>> Introduction to Brainstorm and hands-on workshop, part of [[https://gsaneuro.com/|GSAN]] workshops at McGill University. |
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| <<HTML(<TR><TD>)>>'''Instructors'''<<HTML(</TD><TD>)>>[[AboutUs/RaymundoCassani|Raymundo Cassani]] (Montreal Neurological Institute / McGill, Canada)<<BR>>[[AboutUs|Marc Lalancette]] (Montreal Neurological Institute / McGill, Canada)<<HTML(</TD></TR>)>> | <<HTML(<TR><TD>)>>'''Instructors'''<<HTML(</TD><TD>)>>[[AboutUs/SylvainBaillet|Sylvain Baillet]], [[AboutUs/RaymundoCassani|Raymundo Cassani]] and [[AboutUs#MEG.40McGill|Marc Lalancette]]<<BR>> (Montreal Neurological Institute / McGill, Canada)<<HTML(</TD></TR>)>> |
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| <<HTML(<TR><TD>)>>'''Audience'''<<HTML(</TD><TD>)>>Users interested in analyzing MEG/EEG/sEEG recordings using Brainstorm.<<BR>>Some experience with MEG/EEG is recommended. Teaching in English.<<BR>>Number of participants: 6 <<HTML(</TD></TR>)>> | <<HTML(<TR><TD>)>>'''Audience'''<<HTML(</TD><TD>)>>Users interested in analyzing MEG/EEG/sEEG recordings using Brainstorm.<<BR>>Some experience with MEG/EEG is recommended. Teaching in English.<<BR>>Number of participants: N <<HTML(</TD></TR>)>> |
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| Please read carefully the following instructions:<<BR>>[[WorkshopMontreal2018Install|How to prepare your laptop for the training]] | Please read carefully the following instructions:<<BR>>[[WorkshopGeneralInstall|How to prepare your laptop for the training]] == Download workshop dataset == Once you have successfully installed Brainstorm (previous) section, we will proceed to download the dataset for the workshop. The dataset, is a partially pre - proccessed, that was used in the XX tutorial. It consist of xxxx 1. Download the tutorial dataset (XXXX GB): 1. Unzip the two downloaded files on your desktop 1. Final check: you should have 3 folders on your desktop: * brainstorm3: Program folder, with the source code and the compiled executable * brainstorm_db: Brainstorm database (empty) * ds000117-preproc: Dataset used during the workshop session |
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| '''DAY 1 ''' |
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| <<HTML(<TR><TD>)>>9:45-10:00<<HTML(</TD><TD>)>>Overview of the MEG program at The Neuro by Marc Lalancette<<HTML(</TD></TR>)>> | <<HTML(<TR><TD>)>>10:00-10:30<<HTML(</TD><TD>)>>Introduction to Brainstorm (lecture)<<HTML(</TD></TR>)>> |
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| <<HTML(<TR><TD>)>>10:00-11:00<<HTML(</TD><TD>)>>'''Brainstorm overview''' | <<HTML(<TR><TD>)>>10:30-11:20<<HTML(</TD><TD>)>>'''Loading anatomy and recordings''' |
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| Software structure, typical data workflow <<HTML(</TD></TR>)>> | Set anatomy |
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| <<HTML(<TR><TD>)>>11:00-11:10<<HTML(</TD><TD>)>>''Coffee break''<<HTML(</TD></TR>)>> | Review RAW recordings |
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| <<HTML(<TR><TD>)>>11:10-12:30<<HTML(</TD><TD>)>>'''Hands-on training''' | Import events |
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| Database explorer | <<HTML(</TD></TR>)>> |
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| MRI volumes, surfaces and anatomical atlases Registration MEG/MRI Review of continuous MEG recordings<<HTML(</TD></TR>)>> <<HTML(<TR><TD>)>>12:30-14:00<<HTML(</TD><TD>)>>''Lunch''<<HTML(</TD></TR>)>> <<HTML(<TR><TD>)>>14:00-17:00<<HTML(</TD><TD>)>>'''Hands-on training''' |
<<HTML(<TR><TD>)>>14:00-17:00<<HTML(</TD><TD>)>>'''Pre-processing''' |
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| Artifact correction with SSP | Artifact correction with SSP <<HTML(</TD></TR>)>> |
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| Correction of stimulation delays Averaging, exploring the evoked response <<HTML(</TD></TR>)>> <<HTML(</TABLE>)>> '''DAY 2 ''' <<HTML(<TABLE>)>> <<HTML(<TR><TD>)>>9:30-12:00<<HTML(</TD><TD>)>>'''Hands-on training''' Head modeling, cortical source reconstruction Regions of interest (ROIs) Time-frequency analysis Functional connectivity Advanced scripting interface <<HTML(<TR><TD>)>>12:00-12:30<<HTML(</TD><TD>)>>'''Questions'''<<HTML(</TD></TR>)>> <<HTML(<TR><TD>)>>12:30-14:00<<HTML(</TD><TD>)>>''Lunch''<<HTML(</TD></TR>)>> <<HTML(<TR><TD>)>>14:00-16:00<<HTML(</TD><TD>)>>'''Processing own data'''<<HTML(</TD></TR>)>> |
<<HTML(<TR><TD>)>>12:30-13:15<<HTML(</TD><TD>)>>''Lunch''<<HTML(</TD></TR>)>> |
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<<HTML(<TR><TD>)>>13:15-14:00<<HTML(</TD><TD>)>>'''Analysis''' Coherence (sensor level) Head modelling, cortical source reconstruction Coherence (source level) <<HTML(</TD></TR>)>> |
Montreal, Canada: June 8, 2023
In-person Brainstorm training session.
Introduction to Brainstorm and hands-on workshop, part of GSAN workshops at McGill University.
General information
| Where | Zoom. |
| When | Thursday, August 19th 2021: 9:30-17:00 Friday, August 20th 2021: 9:30-16:00 |
| Instructors | Sylvain Baillet, Raymundo Cassani and Marc Lalancette (Montreal Neurological Institute / McGill, Canada) |
| Audience | Users interested in analyzing MEG/EEG/sEEG recordings using Brainstorm. Some experience with MEG/EEG is recommended. Teaching in English. Number of participants: N |
| Slides | Introduction | Walkthrough |
Requirements
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
Download workshop dataset
Once you have successfully installed Brainstorm (previous) section, we will proceed to download the dataset for the workshop. The dataset, is a partially pre - proccessed, that was used in the XX tutorial. It consist of xxxx
- Download the tutorial dataset (XXXX GB):
- Unzip the two downloaded files on your desktop
- Final check: you should have 3 folders on your desktop:
- brainstorm3: Program folder, with the source code and the compiled executable
- brainstorm_db: Brainstorm database (empty)
- ds000117-preproc: Dataset used during the workshop session
Program:
| 10:00-10:30 | Introduction to Brainstorm (lecture) |
| 10:30-11:20 | Loading anatomy and recordings Set anatomy Review RAW recordings Import events |
| 14:00-17:00 | Pre-processing Frequency filters Artifact detection Artifact correction with SSP |
| 12:30-13:15 | Lunch |
| 13:15-14:00 | Analysis Coherence (sensor level) Head modelling, cortical source reconstruction Coherence (source level) |
We provide a detailed step-by-step walkthrough of the data analyses performed at the training.