Cartool is a Windows-based software providing a comprehensive spatio-temporal analysis of multichannel EEG/MEG/iEEG data. Emphasis is put on advanced user interfaces with presets and the interactive 3D-visualization of the data in all analysis steps (waveforms, maps, source localization).

Course organizers:
Christoph Michel (University of Geneva)
Denis Brunet (University of Geneva)

All the information and course material can be found and downloaded here:https://sites.google.com/site/cartoolcommunity/baci-2017

The course will cover the following 2 main topics, one per half-day:

1. Inverse Solution - the complete story
   • electrodes coregistration
   • controlling the solution space
   • Lead Field processing
   • Inverse LORETA & LAURA
   • Applying whole datasets
   • Inverse of frequency data
   • Statistics
   • Display
• Electrodes coordinates
• MRI conversion and preprocessing
• Computing the inverse matrix:
• Applying matrix to data
2. Micro-states - the traditional and the new ways
   • Segmentation
   • Statistics
   • Inverse Space localization
   • Per subject
   • Per group
   • Best clustering criterion
   • Statistics
   • Inverse Space localization
• ERPs:
• Resting States:

1. EEG preprocessing pipeline
2. Making the best of the Cartool Display
3. Semi-controlled ERP computation
4. Frequency analysis

When aiming at the identification of cortical regions involved in electric (and magnetic) brain activities, the restriction to a channel level analysis can provide only limited information. Source level analysis allows to overcome these limitations and gain a deeper insight into cortical activity.

We  then propose a full day workshop on source reconstruction using Fieldtrip Toolbox starting from EEG raw data. Three topics will be analyzed: 1. pre-processing and channel analysis, 2. forward modeling, 3. inverse solutions. Theoretical introductions will be delivered, followed by hands-on sessions based on FieldTrip pipelines

Requirements: Familiarity with Matlab
Teachers: Marios Antonakakis, Simon Homölle, Maria Carla Piastra
Duration: 1 day
Platform: Matlab

All information for the course is made available here: http://www.fieldtriptoolbox.org/workshop/baci2017.

The workshop will be taught by Patricia Milz¹, Pascal Faber¹, Antonio Fernandez Guerrero², and Roberto Pascual-Marqui¹ (Skype sessions).

 ¹The KEY Institute for Brain-Mind Research, Zurich

² Institute of Pharmacology and Toxicology, University of Zurich

Morning:

• LORETA source localization theory
• LORETA source localization practice
• Questions & Answers (Skype session with Roberto)

Afternoon:

• effective connectivity measures theory
• LORETA isolated effective coherence (iCoh) practice
• Questions & Answers (Skype session with Roberto)

Course preparation

1. Use the link included below to access the LORETA key workshop material.
2. Download the files "InstallAndStartupGuideLoretaKey1.pdf" (about 1mb) and "LoretaKey.exe"  about 300mb).
3. The file "InstallAndStartupGuideLoretaKey1.pdf" contains instructions on how to install the package, in detail, step by step. If there is a problem, please let us know immediately.
4. The link to the package is long (computer generated), under*start* and above *end*:

https://drive.google.com/open?id=0B2Knt7JTQNFmfkRxbW5xMnNUSEFaQTRsY1AyVnBfZzc1cndJTW80c2lqQ1VMNElUeHlGVmM

*end*

5. Participants are expected to bring their own laptops with windows7 or higher (the program might not work with WindowsXP or lower), with the LORETA software already installed. In addition, it is strongly recommended that participants use the software as instructed in the tutorials, before attending the workshop.

The information contained in multichannel event-related potential data can give precise information about the spatial and temporal distribution of brain information steps. However, for the statistical analysis of such data, the high dimensionality and the unknown correlation structure of the data make an adequate control of type II errors a challenge for statistics.