About:

We are offering a workshop designed to provide a comprehensive introduction to planning and carrying out EEG research — from basic pre-processing to integrating EEG data with other modalities and programming.

Hosted on Monday 13th of October, from 1 PM to 6 PM (including breaks), the workshop will be led by experienced postdoctoral researchers from the Department of Basic and Clinical Neuroscience (Dr Petroula Laiou and Dr Joe Davies) and will be conducted in person at King’s College London.

What to expect:

Whether you are a beginner or have intermediate programming skills, this workshop is for you.

It will guide you through the key steps of structuring an EEG project and equip you with practical skills to take forward into your own research using Python and MATLAB.

Learning goals:

1. Designing your EEG study: learn the key principles and considerations for planning an EEG study.
2. Fundamentals of EEG pre-processing: gain a fundamental understanding of EEG data handling and pre-processing methods.
3. Computing EEG features: compute key measures from EEG data using Python and MATLAB.
4. Data integration: explore how EEG can be combined with other data sources, such as electronic health records.
5. Planning data analysis: design an analysis workflow suitable for EEG datasets.
6. Using AI tools: learn prompt engineering to leverage LLMs for support.

There will also be opportunities to receive personalised feedback on your own research ideas.

What you will get out of the session:

By the end of the workshop, you will have a clearer understanding of how to structure an EEG study, along with practical skills in pre-processing, feature computation, integration with other data types, prompt engineering for LLMs, and planning statistical analyses.

What's new this year (for returning participants):

This second edition offers a more comprehensive perspective on EEG research. You will still get the hands-on training in pre-processing and quantitative analysis with Python and MATLAB from last year, but we will also dive into how to design an EEG study from scratch, link EEG data with other sources like health records, plan analyses, and effectively use LLM support tools.

Registration details: 

To attend this workshop, you need to register using the following link: https://qualtrics.kcl.ac.uk/jfe/form/SV_d42AN0c8jw74YiG 

There is no limit to the number of participants. To participate, bring your laptop with MATLAB and Python installed (instructions will be provided). The workshop will be held in person at King's College London (exact location will be communicated to participants prior to the meeting).

 

 Funding acknowledgement:

The workshop is part of the EEG Working Group Meeting Series and is kindly supported by the Health Sciences Doctoral Training Centre. 

Contact:

For information relating to the workshop, please contact one of the EEG Working Group leads: Dr Irene Faiman: irene.faiman@kcl.ac.uk, or Dr Andrea Biondi: andrea.2.biondi@kcl.ac.uk