Author: Choong-Wan Woo (Sungkyunkwan University) https://cocoanlab.github.io/
Date: 2019/8/17 @ KHBM 2019 Summer school
Download: You can download the slide PDF here
If you want PPT file (>50MB), please use the following dropbox link
To run the Matlab scripts tutorial_main.mlx, or tutorial_main.m, you will need the following tools installed in your computer. The code and results can be viewed in tutorial_main.html or tutorial_main.pdf.
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Matlab (> 2016 version)
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For full functionality, make sure to install:
- Matlab Statistics and Machine Learning toolbox
- Statistical Parametric Mapping (SPM) toolbox
The Matlab script tutorial_main.mlx was tested on macOS High Sierra with Matlab 9.5 R2018b.
See also RSA toolbox written by Kriegeskorte group: https://github.com/rsagroup/rsatoolbox
from Woo et al., 2014, Nat Comms; Paper PDF can be downloaded here
Participants: N = 59
There were two types of tasks, and in each task, there were two conditions (2 x 2 design)
- Physical pain task (Heat, Warmth conditions)
- Social pain task (Rejection, Friends conditions)
- Step 1: Computing RDMs for each participant, for each region (4 ROIs: aINS, dACC, S2/dpINS, TPJ), and visualize the RDMs
- Step 2: Comparing brain and model RDMs: We have two model RDMs: physical vs. social, aversive vs. non-aversive, and 4 ROIs
- Step 3: Statistical inference: Using the neurosync mask that Woo 2014 used, we will do statistical inference