To participate in the workshop, please fill in the conference registration form.
Registration DEADLINE: October 15, 2022 (23:59:59 GTC+3)
About the workshop
The most common way to analyze brain imaging data collected during naturalistic stimuli is to use the Intersubject Correlation (ISC) method. Based on linear correlations between individuals, this method measures the level of similarity of brain activity.
By participating in the Workshop, you will acquire knowledge of the theoretical background of the ISC method, you will be given a step-by-step guideline in terms of how to conduct ISC analysis in practice and most importantly, you will have the opportunity to conduct your first ISC analysis in parallel with the tutor.
Day 1 (October 19)
16:00 - 17:30
Introduction to intersubject correlation (ISC) analysis of EEG data: what is it, when to do it, how to prepare the data for such an analysis (preprocessing), how to interpret the results.
17:30 - 18:00
Review of papers that have used this methodology. Discussion of different approaches.
Day 2 (October 20)
16:00 - 17:00
Case study 1: Calculate the ISC of EEG data during watching this video
17:00 - 17:30
Case study 2: Examine whether the ISC is explained by participants’ behavioral data (e.g. age, scores in questionnaires, etc.)
17:30 - 18:00
Q&A and discussion, limitations of the methodology, differences with fMRI ISC
The Workshop will be interactive, i.e. “learning by doing”. Each theoretical session is followed by a practical one. Students are encouraged to be replicating the practice sessions in parallel with the tutor, although this is not mandatory.
Software and data
If you want to actively participate in the practice sessions, you need to have the following installed on your computer:
- The sample dataset provided by Parra lab here
If you want to get familiar with the concept of ISC analysis before joining the Workshop you may read the following articles.
- Cohen, S. S., & Parra, L. C. (2016). Memorable Audiovisual Narratives Synchronize Sensory and Supramodal Neural Responses. eNeuro, 3(6), ENEURO.0203-16.2016. https://doi.org/10.1523/ENEURO.0203-16.2016
- Dmochowski, J. P., Sajda, P., Dias, J., & Parra, L. C. (2012). Correlated components of ongoing EEG point to emotionally laden attention - a possible marker of engagement?. Frontiers in human neuroscience, 6, 112. https://doi.org/10.3389/fnhum.2012.00112