# EEGLAB 2018 Pittsburgh

## Contents |

# Twenty-seventh EEGLAB Workshop

The 27th EEGLAB Workshop will take place September 4 (Tuesday) and 5 (Wednesday) preceding the ECNS/ISNIP meeting in Pittsburgh, Pennsylvania, formerly known as Steel City now reinvigorated and home to important universities. Participants will be expected to bring laptops with Matlab installed so as to be able to participate in the practical sessions. The tutorial workshop will introduce and demonstrate the use of the EEGLAB software environment and EEGLAB-linked tools for performing advanced analysis of EEG and related data, with detailed method expositions and practical exercises.

## Registration and cost

Registration will be handled by the Electroencephalography and Clinical Neuroscience Society (ECNS) as a pre-conference workshop to the 2018 Annual ECNS/ISNIP Meeting. Workshop costs will be $200 for students and $300 for others. Registration is available on the conference page (select Registration). You may register just for the workshop (not the conference) if you wish to.

**Note**: Prospective attendees should note that a longer, more comprehensive EEGLAB workshop will be offered two months later, Nov. 8-12 at UCSD, La Jolla, CA following the Society for Neuroscience meeting in San Diego.

## Relevant reading material

The EEGLAB graphic interface is built using the powerful, multi-platform Matlab scripting language. Enjoying the full capabilities of EEGLAB for building macro commands and performing custom and automated processing requires basic knowledge of how to manipulate EEGLAB data structures in Matlab. Because of time constraints, we will NOT provide an introduction to Matlab scripting. Instead, attendees must familiarize themselves with Matlab **before** coming to the workshop.

New users of Matlab: We recommend running the following demos and reading these help sections:

After opening the Matlab desktop, select menu item "Help Demos" and run the following demos. Note that while a 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. If you do not use Matlab regularly, we encourage you to watch these demos, read these sections, and practice using the skills they introduce 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)

*EEGLAB WIKI:* Refer to the EEGLAB tutorial wiki for additional help.

**Material for the working (including EEGLAB) will be made available on USB keys during the workshop.** Presentation slides will be made available during the workshop. You only need to bring to the workshop a laptop with Matlab installed.

## 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. <-- The basic EEGLAB citation.

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

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

Delorme, A., Palmer, J. Oostenveld, R., Onton, J., Makeig, S. Independent components of EEG data are dipolar. PLoS ONE. 2012. i7(2):e30135.

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.

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

Loo, S., Lenartowicz, A., Makeig, S. Use of EEG biomarkers in child psychiatry research – current state and future directions, Journal of Child Psychology & Psychiatry 57:1, 4-17, 2016.

## Preliminary Workshop Program (with corresponding PDFs)

Purple lettering = lecture

Orange lettering = tutorial

__Tuesday, September 4th 2018__

**Overview and ICA Theory/Practice**

- 12:30-2:00PM - Lunch -- On your own

**ICA and time-frequency**

__Wednesday, September 5th 2018__

**Source Localization**

- -- Coffee Break--

- 12:30AM-2:00PM Lunch -- On your own

**Group analysis and ICA clustering in EEGLAB**- 2:00PM - 2:30PM -- Creating a STUDY, STUDY design, basic plotting (Arnaud Delorme) PDF
- 2:30PM - 3:00PM -- Group analysis using EEGLAB studies: Methods to cluster ICA components (Arnaud Delorme) PDF
- 3:00PM - 3:30PM -- General linear modeling (Arnaud Delorme) PDF
- 3:30PM – 4:00PM -- Scripting in EEGLAB (Arnaud Delorme) PDF

- -- Coffee Break--

- 4:30PM – 5:15PM -- Mining event-related brain dynamics II (Scott Makeig) PDF