SEMT is an offline cognitive task [1] designed to challenge the episodic memory as schizophrenia patients have significant memory difficulties that have far-reaching implications in their daily life. This version has been designed to work with fmri.
Publication: Guimond, S., Hawco, C., & Lepage, M. (2017). Prefrontal activity and impaired memory encoding strategies in schizophrenia. Journal of psychiatric research, 91, 64-73.
Experiment DOI: https://doi.org/10.17605/OSF.IO/D8WK4
Functions assessed: cognition > episodic memory
Languages: English, French
Accessibility: Hearing impairment
Modalities: fMRI
Devices: Computer, Laptop
Species: Homo sapiens
Software: Psychopy (v2020.2.8), Python (3.7.4)
Requirements: 2-button response device
- Install Psychopy v2020.2.8
- Install Python 3.7.4
- Run Psychopy
- Go to File>Open... locate the folder of the SEMT task and open SEMT.psyexp
- Start the experiment in the top menu where there is the play button.
See docs/Instruction_SEMT.docx.
See docs/SEMT_csv_output_explanations.pdf.
See docs/SEMT_csv_output_explanations.pdf.
SEMT was designed by Syntia Guimond, Colin Hawco, Martin Lepage, taken over by Delphine Raucher-Chene, Olivier Percie du Sert. The open version was developed by Katie Lavigne and Caroline Dakoure.
License: GNU GPL 3.0
Attribution: Guimond, S., Lavigne, K. M., & Lepage, M. (2023, March 19). Semantic Encoding Task. https://doi.org/10.17605/OSF.IO/D8WK4