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= Little Rock, Arkansas, USA: January 24-26, 2024 = <<HTML(<img align="right" alt="archildrens.png" class="attachment" src="/brainstorm/WorkshopArkansas2024?action=AttachFile&do=get&target=archildrens.png" title="archildrens_logo.png" style="width: 45%;">)>> Three-day Brainstorm training, MEG- and EEG-oriented.<<BR>>During the first two days, participants will process an EEG/MEG dataset to learn and explore Brainstorm features. On the last day, participants are encouraged to bring their own data, which we will review in small groups. == General information == <<HTML(<TABLE>)>> <<HTML(<TR><TD>)>>'''Where'''<<HTML(</TD><TD>)>> [[https://www.archildrens.org|Arkansas Children's Hospital]]<<HTML(</TD></TR>)>> <<HTML(<TR><TD>)>>'''When'''<<HTML(</TD><TD>)>>January 24-26, 2023, 9:00-17:00<<HTML(</TD></TR>)>> <<HTML(<!--<TR><TD>)>>'''Registration'''<<HTML(</TD><TD>)>> [[https://redcapwap.archildrens.org/redcap/surveys/?s=WRT4WCC4PH4P9RF3|Please visit this page]]. <<HTML(</TD></TR>-->)>> <<HTML(<TR><TD>)>>'''Organizers'''<<HTML(</TD><TD>)>>[[https://www.archildrens.org/research/researchers/diana-escalona-vargas|Diana Escalona-Vargas]]<<BR>> (Arkansas Children's Hospital, USA)<<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 recordings using Brainstorm.<<BR>>Some experience with MEG/EEG is recommended. Teaching in English.<<BR>>Number of participants: XX <<HTML(</TD></TR>)>> <<HTML(<!--<TR><TD>)>>'''Slides'''<<HTML(</TD><TD>)>> [[https://box.bic.mni.mcgill.ca/s/XXXXXXXX|Intro slides]] | [[https://box.bic.mni.mcgill.ca/s/XXXXXXXX|Lectures slides]] | [[https://box.bic.mni.mcgill.ca/s/XXXXXXXX|Walkthrough]] | [[https://forms.gle/XXXXXXXX|Survey]]<<HTML(</TD></TR>-->)>> <<HTML(</TABLE>)>> == 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]] {{{#!wiki comment == Workshop dataset == TBD 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/XXXXX 1. Unzip the downloaded file on your desktop: it will create a new folder named '''`workshop_XXXX`''' 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_XXXX`''': Dataset used during the workshop session }}} == Program == === Day 1 === <<HTML(<TABLE>)>> <<HTML(<TR><TD>)>>08:30-09:00<<HTML(</TD><TD>)>> Onsite assistance in installing the material for the training session<<HTML(</TD></TR>)>> <<HTML(<TR><TD>)>>09:00-10:00<<HTML(</TD><TD>)>>'''Introduction to Brainstorm''' ''(lecture R. Cassani)''<<HTML(</TD></TR>)>> <<HTML(<TR><TD>)>>10:00-11:00<<HTML(</TD><TD>)>>'''Loading anatomy and recordings''' Brainstorm database Set anatomy Review RAW recordings Events <<HTML(</TD></TR>)>> <<HTML(<TR><TD>)>>11:00-12:00<<HTML(</TD><TD>)>>'''Pre-processing''' Frequency filters Artifact detection Artifact correction with SSP <<HTML(</TD></TR>)>> <<HTML(<TR><TD>)>>12:00-13:00<<HTML(</TD><TD>)>>''Lunch''<<HTML(</TD></TR>)>> <<HTML(<TR><TD>)>>13:00-14:30<<HTML(</TD><TD>)>>'''Events and epoching''' Events functions Import epochs and sensor averages <<HTML(</TD></TR>)>> <<HTML(<TR><TD>)>>14:30-15:00<<HTML(</TD><TD>)>> '''Spectral and time-frequency analysis of MEG/EEG signals''' ''(lecture S. Baillet)''<<HTML(</TD></TR>)>> <<HTML(<TR><TD>)>>15:00-16:30<<HTML(</TD><TD>)>>'''Time-frequency analysis''' Time-frequency representation of EEG/MEG signals <<HTML(</TD></TR>)>> <<HTML(</TABLE>)>> === Day 2 === <<HTML(<TABLE>)>> <<HTML(<TR><TD>)>>08:30-09:00<<HTML(</TD><TD>)>>'''Source modelling''' ''(Lecture S. Baillet)''<<HTML(</TD></TR>)>> <<HTML(<TR><TD>)>>09:00-10:45<<HTML(</TD><TD>)>>'''Sources estimation''' Forward model (aka Head model) Noise covariance matrix Source estimation (surfaces and volume source spaces) Cortex parcellations: Atlases and Scouts <<HTML(</TD></TR>)>> <<HTML(<TR><TD>)>>10:45-12:00<<HTML(</TD><TD>)>>'''Subject level statistics''' Statistics, sensor space Statistics, source space <<HTML(</TD></TR>)>> <<HTML(<TR><TD>)>>12:00-13:00<<HTML(</TD><TD>)>>'''ACRI Visiting Scholars Research Seminar''' ''(Lecture S. Baillet)'' <<BR>> Lunch will be provided <<HTML(</TD></TR>)>> <<HTML(<TR><TD>)>>13:00-14:30<<HTML(</TD><TD>)>>'''Subject level analysis''' Subject averages (sensors, time-frequency and sources) Within subject differences <<HTML(</TD></TR>)>> <<HTML(<TR><TD>)>>14:30-16:00<<HTML(</TD><TD>)>>'''Group level analysis''' Preparing sensor, time-frequency and sources data <<HTML(</TD></TR>)>> <<HTML(</TABLE>)>> === Day 3 === <<HTML(<TABLE>)>> <<HTML(<TR><TD>)>>09:00-09:30<<HTML(</TD><TD>)>>'''Connectivity & resting-state & evoked response''' ''(Lecture S. Baillet)''<<HTML(</TD></TR>)>> <<HTML(<TR><TD>)>>09:30-10:00<<HTML(</TD><TD>)>>'''Connectivity''' Functional connectivity <<HTML(</TD></TR>)>> <<HTML(<TR><TD>)>>10:00-11:00<<HTML(</TD><TD>)>>'''Beyond the GUI''' Scripting GitHub <<HTML(</TD></TR>)>> <<HTML(<TR><TD>)>>11:00-12:00<<HTML(</TD><TD>)>>'''Participants working with their own data'''<<HTML(</TD></TR>)>> <<HTML(<TR><TD>)>>12:00-13:00<<HTML(</TD><TD>)>>''Lunch''<<HTML(</TD></TR>)>> <<HTML(<TR><TD>)>>12:00-15:30<<HTML(</TD><TD>)>>'''Participants working with their own data'''<<HTML(</TD></TR>)>> <<HTML(<TR><TD>)>>15:30-16:00<<HTML(</TD><TD>)>>'''Wrap-up''' <<HTML(</TABLE>)>> == Bring your own data == The last session will be mostly dedicated to addressing participants' requests. We encourage you to bring in your own sample of MEG/EEG data that you would be interested in processing with Brainstorm. We may ask that you pair with other attendees, for logistics purposes. The file formats that can be read by Brainstorm are listed 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. If you do not have data available, you may continue to use the tutorial dataset used in the present workshop. {{{#!wiki comment We provide [[https://box.bic.mni.mcgill.ca/s/XXXX|a detailed step-by-step walkthrough]] of the data analyses performed at the training. In addition, results obtained in this workshop can be replicated with [[https://box.bic.mni.mcgill.ca/s/kYKqad5wzYabzq1|this script]]. }}} == Troubleshooting == |
Describe WorkshopParkCity2024 here.
Program TBA
Little Rock, Arkansas, USA: January 24-26, 2024
Three-day Brainstorm training, MEG- and EEG-oriented.
During the first two days, participants will process an EEG/MEG dataset to learn and explore Brainstorm features. On the last day, participants are encouraged to bring their own data, which we will review in small groups.
General information
| Where | Arkansas Children's Hospital |
| When | January 24-26, 2023, 9:00-17:00 |
| Organizers | Diana Escalona-Vargas (Arkansas Children's Hospital, USA) |
| Instructors | Sylvain Baillet and Raymundo Cassani (Montreal Neurological Institute / McGill, Canada) |
| Audience | Users interested in analyzing MEG/EEG recordings using Brainstorm. Some experience with MEG/EEG is recommended. Teaching in English. Number of participants: XX |
Requirements
In order to make the workshop as efficient as possible, we ask all the attendees to: download, install and test the software and download the workshop dataset on their laptops prior to the workshop.
Installing Brainstorm
Please read carefully the following instructions on:
preparing your laptop for the training
Program
Day 1
| 08:30-09:00 | Onsite assistance in installing the material for the training session |
| 09:00-10:00 | Introduction to Brainstorm (lecture R. Cassani) |
| 10:00-11:00 | Loading anatomy and recordings Brainstorm database Set anatomy Review RAW recordings Events |
| 11:00-12:00 | Pre-processing Frequency filters Artifact detection Artifact correction with SSP |
| 12:00-13:00 | Lunch |
| 13:00-14:30 | Events and epoching Events functions Import epochs and sensor averages |
| 14:30-15:00 | Spectral and time-frequency analysis of MEG/EEG signals (lecture S. Baillet) |
| 15:00-16:30 | Time-frequency analysis Time-frequency representation of EEG/MEG signals |
Day 2
| 08:30-09:00 | Source modelling (Lecture S. Baillet) |
| 09:00-10:45 | Sources estimation Forward model (aka Head model) Noise covariance matrix Source estimation (surfaces and volume source spaces) Cortex parcellations: Atlases and Scouts |
| 10:45-12:00 | Subject level statistics Statistics, sensor space Statistics, source space |
| 12:00-13:00 | ACRI Visiting Scholars Research Seminar (Lecture S. Baillet) Lunch will be provided |
| 13:00-14:30 | Subject level analysis Subject averages (sensors, time-frequency and sources) Within subject differences |
| 14:30-16:00 | Group level analysis Preparing sensor, time-frequency and sources data |
Day 3
| 09:00-09:30 | Connectivity & resting-state & evoked response (Lecture S. Baillet) |
| 09:30-10:00 | Connectivity Functional connectivity |
| 10:00-11:00 | Beyond the GUI Scripting GitHub |
| 11:00-12:00 | Participants working with their own data |
| 12:00-13:00 | Lunch |
| 12:00-15:30 | Participants working with their own data |
| 15:30-16:00 | Wrap-up |
Bring your own data
The last session will be mostly dedicated to addressing participants' requests. We encourage you to bring in your own sample of MEG/EEG data that you would be interested in processing with Brainstorm. We may ask that you pair with other attendees, for logistics purposes.
The file formats that can be read by Brainstorm are listed on the Introduction page. Please contact us in advance if you are not sure your dataset can be imported in Brainstorm. If you do not have data available, you may continue to use the tutorial dataset used in the present workshop.