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Florence, Italy: October 1st & 2nd, 2013

SPR 2013 satellite meeting: two-day workshop featuring Brainstorm (Oct 1st) and SPM (Oct 2nd).
Visit the conference website:highlights and program.

General information

Where: Florence (Italy), Firenze Fiera Congress & Exhibition Center
PDA building (Palazzo Degli Affari) - SALA ADUA 1 - Primo Piano (First Floor) - Download map
Registration opens at 7:30am at PIAZZA ADUA (main entrance of the Congress Center)

When: October 1st & 2nd, 8:15am-6pm

Organizers & instructors : Stephan Moratti (UPM, Madrid), Sylvain Baillet, Fran├žois Tadel and Elizabeth Bock (MNI/McGill, Montreal)

Target audience: Neuroscientists, psychologists, clinicians, engineers, etc. using MEG or EEG as advanced research tools. Students, post-docs, staff, faculty interested in learning a new academic software tool for MEG and EEG data analysis, with an emphasis on source imaging, spectral decompositions and functional connectivity metrics.

Objective: The aim of this two-days workshop is to train psychophysiologists/ neuroscientists with advanced EEG and MEG data analysis methods such as cortical source estimation, spectral decomposition, functional connectivity analysis and general linear models for statistical inference in EEG and MEG sensor and source space. The importance of clear, graphical representations of data and results for publication purposes will be also highlighted.

Workshop program: Day 1 (Brainstorm)

Requirements

The participants are required to bring a laptop (an external mouse will add to your comfort). 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 carfully the following instructions:
How to prepare your laptop for the training

7:30-8:15: Registration

  • Registration opens at 7:30am at PIAZZA ADUA (main entrance of the Congress Center)
  • Please note that the PDA building will not be open until 8am for attendees access

08:15-9:00: Continental breakfast and laptop clinic

  • Bring your laptop if you are not sure you were successful in installing the material for the training

9:00-10:00: Brainstorm overview

  • Introduction
  • Software architecture
  • Typical data workflow

10:00-10:45: Hands-on training begins

  • Database explorer
  • Importing MRI volumes, surfaces and atlases
  • Introduction to anatomical atlases

10:45-11:00: Coffee break

11:00-12:40: Hands-on training

  • Co-registration MEG/MRI
  • Reviewing continuous recordings
  • Artifact detection and correction
  • Filtering and epoching
  • Averaging, observation of a typical somatosensory evoked response
  • Head modeling, cortical source reconstruction

12:40-13:30: Lunch break

13:30-15:00: Hands-on training resumes (coffee & refreshments served)

  • Definition of ROIs, tracking the processing of the sensory information millisecond by millisecond at the cortex level
  • Frequency and time-frequency analysis
  • Functional connectivity

15:00-15:30: Coffee break

15:30-18:00: Advanced topics and open discussion

  • Group analysis and statistics
  • Advanced scripting interface
  • Other topics can be discussed depending on the audience specific requests

Workshop program: Day 2 (SPM8)

Requirements

Please go to http://www.fil.ion.ucl.ac.uk/spm/software/spm8/ and download and install the current SPM8 version. You can find all installation instructions on that website.

08:15-9:00: Continental breakfast and laptop clinic

  • Bring your laptop if you are not sure you were successful in installing the material for the training

9:30-10:15: SPM8 overview

  • Introduction
  • What can SPM8 do?
  • Why using a formerly fMRI toolbox with MEG/ EEG data?

10:15-11:30: Hands-on training

  • Conversion of data
  • Epochs
  • Artifacts
  • Filters
  • Epoch averaging
  • Visualization of data

11:30-12:30: Lunch break (on your own)

12:30-2:15: Hand-on training

  • Statistics in sensor space
  • Cropping data
  • How to get volumes from sensors
  • Specify a General Linear Model (GLM) and its contrasts
  • Results
  • Cortical source reconstruction of event related fields

2:15-2:30: Coffee break

2:30-3:30: Hands-on training

  • Time frequency analysis
  • Down-sampling
  • Spectral decomposition
  • Results
  • Cortical source reconstruction in the time frequency domain
  • Induced responses
  • Create volumes
  • Specify your GLM
  • Results

3:30-4:30: Open discussion

  • Free data play and SPM8 exploration