EEGLAB09EPIC

From SCCN
Jump to: navigation, search

Contents

Seventh EEGLAB Workshop

IMG 0093.jpg



Epic.gif
7th EEGLAB Workshop
Bloomington, IN
Apr 20–22, 2009

(Preceeding the EPIC conference)




Material for download:

STUDY tutorial files (853 Mb)

Latest EEGLAB development version (34 Mb)

Tutorial scripts

Tutorial data sets (15 Mb)

Group Research Questions (15 Mb)

Tutorial slides Download these files before the workshop and have them available during each tutorial session.

Relevant reading material:

EEGLAB graphic interface is built on top of the powerful Matlab scripting language. Enjoying the full capabilities of EEGLAB for building macro commands and performing custom and automated processing requires the ability to manipulate EEGLAB data structures in Matlab. Because of time constrains, we will NOT provide an introduction to the Matlab language. Instead users need to familiarize themselves with Matlab prior to the workshop. Users of Matlab 7: we recommend running the following demos and reading the following help sections.

After opening the Matlab desktop, select menu item "Help Demos" and run the following demos. Note that while the demo is running, you can retype the text (or copy it) to the main Matlab window:

Mathematics - Basic Matrix Operations
Mathematics - Matrix manipulations
Graphics - 2-D Plots
Programming - Manipulating Multidimentional arrays
Programming - Structures


In the Help Content, read and practice at least the following sections:

Getting Started - Matrices and Arrays - Matrices and Magic squares
Getting Started - Matrices and Arrays - Expressions
Getting Started - Matrices and Arrays - Working with Matrices
Getting Started - Graphics - Basic plotting functions
Getting Started - Programming - Flow Control
Getting Started - Programming - Other data structures
Getting Started - Programming - Scripts and Functions

Each section or demo (if read thoroughly) should take you about 10 minutes, for a total here of about 2 hours. We encourage you to watch these demos and read these sections over several days.

If you do not have access to the Matlab demos, here is a short online introduction to Matlab (recommended pages, 1 to 12)

IMPORTANT NOTE: A large portion of the workshop will be dedicated to writing EEGLAB scripts, so not being able to understand Matlab syntax will result in you missing out on a large portion of the workshop.

Below are some seminal and important papers describing EEGLAB processing:

Delorme, A., Makeig, S. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Methods. 2004; Mar 15; 134(1):9-21.

Makeig, S., Debener, S., Onton, J., Delorme, A. Mining event-related brain dynamics. Trends Cogn Sci. 2004; May; 8(5):204-10.

Onton, J., Makeig, S. Information-based modeling of event-related brain dynamics. Prog Brain Res. 2006; 159: 99-120.

Jung, TP, Makeig, S, Westerfield, M, Townsend, J, Courchesne, E, Sejnowski, TJ. Analysis and visualizaion of single-trial event-related potentials. Human Brain Mapping. 2001; 14(3), 166-185.

Delorme, A., Sejnowski, T., Makeig, S. Improved rejection of artifacts from EEG data using high-order statistics and independent component analysis. Neuroimage. 2007; 34, 1443-1449.

Delorme, A., Palmer, J. Oostenveld, R., Onton, J., Makeig, S. Comparing results of algorithms implementing blind source separation of EEG data. unpublished manuscript.

Onton J, Delorme, A., Makeig, S. Frontal midline EEG dynamics during working memory. NeuroImage. 2005;27, 341-356

Workshop Program (with corresponding PDFs)

Purple lettering = lecture
Orange lettering = tutorial


Monday, April 20

7:30 - 8:30 am Check-in open and continental breakfast served
Overview and ICA Theory/Practice

8:30 – 9:30 am -- Mining event-related brain dynamics I (Scott Makeig) (PDF)
9:30 – 10:00 am -- EEGLAB overview (Arnaud Delorme) (PDF)
-- Break--
10:20 – 11:05 am -- ICA theory (Arnaud Delorme) (PDF)
11:05 – 12:00 pm -- ICA Applications (Julie Onton) (PDF)

-- 12:00-1:00 Lunch --
IC Analysis

1:00 – 1:40 pm -- Time-Frequency decomopositions (Arnaud Delorme) (PDF)
1:40 – 2:20 pm – EEG, ERP and phase-locking (Scott Makeig) (PDF)
2:20 – 2:40 pm -- Questions and general discussion (All)
-- Break--
3:00 – 3:50 pm -- Bootstrap statistics (Arnaud Delorme) (PDF)
3:50 – 4:30 pm -- ICA clustering (Scott Makeig) (PDF)
4:30 – 5:00 pm -- ICA Clustering examples (Julie Onton) (PDF)


Tuesday, April 21

EEGLAB methods I – Data Preprocessing

8:30 – 9:20 am -- Data import and channel analysis (Julie Onton) (PDF)
9:20 – 10:10 pm -- Artifact rejection and running ICA (Julie Onton) (PDF)
-- Break –
10:30– 11:20 am -- Evaluating ICA components (Julie Onton) (PDF)
11:20 – 12:10 am -- Basic scripting using EEGLAB “history” (A.Delorme) (PDF)
-- 12:10-1:10 Lunch --
EEGLAB methods II – Inverse Models and Evaluating ICs
1:10 – 2:00 pm – Time/frequency analysis (Arnaud Delorme) (PDF) (ZIP for PPT)
2:00 – 2:50 pm – Forward and inverse models (Scott Makeig) (PDF)
-- Break --
3:10 – 4:00 pm -- Dipole modeling with the DIPFIT plugin (Julie Onton) (PDF)
4:00 – 4:50 pm -- Building plugins (Arnaud Delorme) (PDF)

Wednesday, April 22

EEGLAB methods III – STUDY Structure and Clustering

8:30 – 9:20 am -- Introduction to the STUDY gui (Julie Onton) (PDF)
9:20 – 10:10 pm – Plot and edit clusters (Arnaud Delorme) (PDF)
-- Break --
10:30– 11:20 am – Building a STUDY script (Julie Onton) (PDF)
11:20 – 12:10 am -- STUDY analysis (Julie Onton) (PDF)
-- 12:10-1:10 Lunch --
1:10 – 2:00 pm -- Mining event-related brain dynamics II (Scott Makeig)
2:00– 5:00 pm – Group research (Datasets and study questions provided)
5:00–6:00 pm – Group research report and discussion
-- Workshop close --
6:30 – 8:30 pm – Opening Reception & Poster Session 1 of EPIC meeting


Local Organizer: Tom Busey, PhD Professor Department of Psychological and Brain Sciences Program in Cognitive Science Indiana University, Bloomington