= Los Angeles, CA, USA: October 18th, 2023 =
Half-day workshop, as part of the [[https://cuttinggardens2023.org/|CuttingGrden2023 conference]]. This session will be an introduction to Brainstorm for EEG analysis. Participants will learn how to use Brainstorm and acces its new tools on their personal laptops.

== General information ==
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<<HTML(<TR><TD>)>>'''Where'''<<HTML(</TD><TD>)>> [[https://cuttinggardens2023.org/gardens/los-angeles/#venue|Univerisyt of Southern California]]<<HTML(</TD></TR>)>>

<<HTML(<TR><TD>)>>'''When'''<<HTML(</TD><TD>)>>Wednesday October 18th, 2023: 13:00-17:30<<HTML(</TD></TR>)>>

<<HTML(<TR><TD>)>>'''Instructor'''<<HTML(</TD><TD>)>>[[https://neuroimage.usc.edu/brainstorm/AboutUs/RaymundoCassani|Raymundo Cassani]] & [[https://neuroimage.usc.edu/brainstorm/AboutUs/tmedani#preview|Takfarinas Medani]]<<HTML(</TD></TR>)>>

<<HTML(<TR><TD>)>>'''Registration'''<<HTML(</TD><TD>)>> [[https://cuttinggardens2023.org/gardens/los-angeles/#registration|Please visit this page]]. <<HTML(</TD></TR>)>>

<<HTML(<TR><TD>)>>'''Audience'''''' '''<<HTML(</TD><TD>)>>Users interested in analyzing EEG/MEG recordings using Brainstorm.<<BR>>Teaching in English. <<HTML(</TD></TR>)>>

<<HTML(<TR><TD>)>>'''Documents'''<<HTML(</TD><TD>)>> TBD [[https://neuroimage.usc.edu/resources/cuttingeeg2021_brainstorm_slides.pdf|Introduction slides]]  | TBD [[https://neuroimage.usc.edu/resources/cuttingeeg2021_brainstorm_walkthrough.pdf|Tutorial walkthrough]] <<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. 

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

== Workshop dataset ==
The workshop dataset is a pre-processed version of the dataset in used in the [[Tutorials/Yokogawa|Brainstorm tutorial on median nerve stimulation]]. It consists of simultaneous EEG and MEG recordings during a median nerve stimulation experiment (right arm). A full description of the dataset can be found [[Tutorials/Yokogawa#Description_of_the_experiment|here]].

Once you have successfully installed and tested Brainstorm (see previous section), proceed to download the dataset for the workshop.

 1. Download the tutorial dataset (360 MB):
 https://box.bic.mni.mcgill.ca/s/iNxszVo7q8rSXwB
 1. Unzip the downloaded file on your desktop: it will create a new folder named '''`workshop_lax`'''.
 1. Final check: after following the steps above, you should have 3 folders on your desktop:
  * '''`brainstorm3`''': the software folder, containing the source code and the compiled executable
  * '''`brainstorm_db`''': your Brainstorm database (which should be empty for now)
  * '''`workshop_lax`''': Dataset used during the workshop session

== Program ==
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<<HTML(<TR><TD>)>>13:00-13:45<<HTML(</TD><TD>)>>Onsite assistance in installing the material for the training session <<HTML(</TD></TR>)>>

<<HTML(<TR><TD>)>>13:45-14:15<<HTML(</TD><TD>)>>'''Lecture: Brainstorm overview'''

Software structure, typical data workflow

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<<HTML(<TR><TD>)>>14:45-15:45<<HTML(</TD><TD>)>>'''Anatomy'''

Database explorer

MRI volumes, surfaces

Anatomical parcellations

Coregistration of pre- and post-implantation images<<HTML(</TD></TR>)>>

<<HTML(<TR><TD>)>>15:45-16:45<<HTML(</TD><TD>)>>'''EEG recordings'''

Reviewing continuous EEG recordings

Montages and management of event markers

<<HTML(<TR><TD>)>>16:45-17:45<<HTML(</TD><TD>)>>'''Advanced topics - Based on participants' requests'''

Time-frequency analysis: Identification of ictal HFO frequency bands

Epileptogenicity maps: Localization of the seizure onset zone and propagation pathways

FEM demo: MRI segmentation, tissue anisotropy with DTI, FEM forward modeling

Open discussion with Bainstorm users

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== Troubleshooting ==
For any technical problem, please contact Raymundo Cassani (raymundo.cassani@mcgill.ca)