International School of Social Neurosciences 'Inter-subject Correlation Analysis of fMRI Data: Hands-on Learning'
About the school
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 Summer School, you will acquire in-depth 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 (June 21)
11:00 – 11:30 |
Welcoming speech by Iiro Jääskeläinen: |
11:30 – 12:30 |
Introduction to intersubject correlation (ISC) analysis of fMRI data: |
12:30 – 14:00 |
Case study 1: |
Day 2 (June 22)
11:00 – 12:00 |
Talk by Etienne Koechlin |
12:00 – 13:00 |
Case study 2: |
13:00 – 14:00 |
Talk by Enrico Glerean: |
Day 3 (June 23)
13:00 – 14:00 |
Case study 3: |
14:00 – 14:30 |
Discussion: Overview of topics covered |
14:30 – 15:00 |
Closing speech by Iiro Jääskeläinen |
15:00 – 16:00 |
Talk by Stefano Palminteri |
Hands-on learning
The School will be interactive, ie “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:
- Matlab
- ISCtoolbox
- The sample dataset
Recommended Reading
If you want to get familiar with the concept of ISC analysis before joining the School, you may read the following articles. However, joining the School with zero knowledge about ISC is totally fine.
- Hasson U, Nir Y, Levy I, Fuhrmann G, Malach R (2004) Intersubject synchronization of cortical activity during natural vision. Science 303, 1634-1640 [PDF]
- Nastase, SA, Gazzola, V., Hasson, U., & Keysers, C. (2019). Measuring shared responses across subjects using intersubject correlation. Social cognitive and affective neuroscience, 14 (6), 667-685 [PDF]