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= Mumbai, India June 28-30, 2023 =
Practical workshop on EEG/MEG analysis at IIT Bombay.

Three-day Brainstorm training sessions, EEG- and MEG-oriented.
During two days participants will process an EEG/MEG provided dataset to explore Brainstorm and its features. On the last day, participants are encouraged to explore their own data with Brainstorm. 

== General information ==
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<<HTML(<TR><TD>)>>'''Where'''<<HTML(</TD><TD>)>>[[https://www.iitb.ac.in/|IIT Bombay]] <<HTML(</TD></TR>)>>

<<HTML(<TR><TD>)>>'''When'''<<HTML(</TD><TD>)>>Wednesday, June 28 - Friday 30, 2023 2023: 09:00-17:30<<HTML(</TD></TR>)>>

<<HTML(<TR><TD>)>>'''Instructors'''<<HTML(</TD><TD>)>>[[AboutUs/SylvainBaillet|Sylvain Baillet]] and [[AboutUs/RaymundoCassani|Raymundo Cassani]] <<BR>> (Montreal Neurological Institute / McGill, Canada)<<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>)>>

<<HTML(<TR><TD>)>>'''Slides'''<<HTML(</TD><TD>)>> [[TBD|Slides]] | [[TBD|Walkthrough]] | [[TBD|Survey]]<<HTML(</TD></TR>)>>

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== Requirements ==
In order to make the workshop as efficient as possible, we ask all the attendees to: <<HTML(<FONT color=red>)>>'''download, install and test'''<<HTML(</FONT>)>> the software and <<HTML(<FONT color=red>)>>'''download'''<<HTML(</FONT>)>> the workshop dataset on their laptops prior to the workshop.

If you encounter any trouble at setting Brainstorm please show up 30 min before the start of the workshop.

== Installing Brainstorm ==
Please read carefully the following instructions on:<<BR>>[[WorkshopGeneralInstall|preparing your laptop for the training]]

== Workshop dataset ==
The workshop dataset 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]].

== Program ==
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<<HTML(<TR><TD>)>>10:00-10:30<<HTML(</TD><TD>)>>Introduction to Brainstorm (lecture)<<HTML(</TD></TR>)>>

<<HTML(<TR><TD>)>>10:30-11:20<<HTML(</TD><TD>)>>'''Loading anatomy and recordings'''

Set anatomy

Review RAW recordings

Import events

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<<HTML(<TR><TD>)>>11:20-12:30<<HTML(</TD><TD>)>>'''Pre-processing'''

Frequency filters

Artifact detection

Artifact correction with SSP <<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>)>>

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We provide [[https://box.bic.mni.mcgill.ca/s/9BXiGy7WpKhgnxu|a detailed step-by-step walkthrough]] of the data analyses performed at the training.

== Program ==
=== 1. Wednesday am: From raw to ERP ===
 * Introduction to Brainstorm (lecture)
 * Review the MEG+EEG recordings
 * Read and organize events
 * Frequency filters
 * Artifacts detection and cleaning

=== 2. Tuesday pm: Sensor level analysis ===
 * Epoching and averaging
 * Time-frequency analysis

=== 3. Wednesday am:     Creating head and source models ===
 * Import anatomy
 * Registration MRI-sensors
 * Forward model
 * Simulations

=== 4. Wednesday pm:     Single and distributed sources ===
 * MEG noise covariance: From empty room recordings
 * EEG noise covariance: From pre-stimulus baselines
 * Distributed sources / minimum norm estimation
 * Regions of interest
 * LCMV Beamformer
 * Dipole scanning / Volume source models

=== 5. Thursday am:     Group-level analysis ===
 * Project source maps on MNI template
 * Statistical testing
 * Export data to other programs (FieldTrip, SPM, ...)
 * Scripting
 * Example for this workshop: https://github.com/brainstorm-tools/brainstorm3/blob/master/toolbox/script/tutorial_practicalmeeg.m

=== 6. Thursday pm:     User requests ===
 * Bring your own data or prepare your questions

== Bring your own data ==
The last session will be mostly dedicated to addressing participants' requests.  We encourage you to prepare some  EEG/MEG/ECoG/sEEG data you would be interested in processing with Brainstorm. If you are coming  with colleagues, try to organize small  groups with similar interests  (1-4 people).

The list of file formats that can be read by Brainstorm is available on the [[http://neuroimage.usc.edu/brainstorm/Introduction#Supported_file_formats|Introduction page]]. Please contact us in advance if you are not sure your dataset can be imported in Brainstorm.

NOTE ON, IF THERE IS NOT DATA ON YOUR OWN, YOU CAN TRY WITH DATA AVAILABLE AT BRAINSTORM.