This task implements a face- and shape-matching task for fMRI in python. It is based on the original idea of Hariri et al. (2002). The faces for the task are taken with permission from the Radboud Face Database. If you want to use this task, you have to request access to the Radboud Face database at their website. Afterwards, contact me if you need help to generate the animated frames.

Find the code on Github

• Hariri, A. R., Tessitore, A., Mattay, V. S., Fera, F., & Weinberger, D. R. (2002). The amygdala response to emotional stimuli: a comparison of faces and scenes. Neuroimage, 17(1), 317-323.
• Willinger, D., Karipidis, I. I., Beltrani, S., Di Pietro, S. V., Sladky, R., Walitza, S., … & Brem, S. (2019). Valence-dependent coupling of prefrontal-amygdala effective connectivity during facial affect processing. eNeuro, 6(4).