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README data.txt

There are two files per participant (.lw5 and .mat) from S01 to S18.
These files correspond to preprocessed EEG data (BioSemi 64 channels, BDF files) for each emotion (An = anger, Di = disgust, Fe = fear, Ha = happiness, Sa = sadness).
They can be analyzed using letswave 5 (http://www.nocions.org/letswave5) running on Matlab.

Preprocessing consisted in:
1. Import in Letswave 5
2. Bandpass (0.1 - 100 Hz) butterworth filter (4th order)
3. Downsampling to 256 Hz
4. Segmentation in 105-secs segments for each stimulation sequence including 1 sec. before the fade-in and 0.5 sec. after the fade-out
5. Independent Component Analysis removing components corresponding to eye blinks and/or artifacts over frontal and temporal regions
6. Interpolation of artifact-ridden or noisy channels
5. Re-referencing to a common average reference
6. Averaging the four segments (corresponding to the four individual faces used in the study) for each emotion
datacite.yml
Title Tuning functions for automatic detection of brief changes of facial expression in the human brain
Authors Leleu,Arnaud;Université Bourgogne Franche-Comté
Dzhelyova,Milena;University of Louvain
Rossion,Bruno;University of Louvain, Université de Lorraine
Brochard,Renaud;Université Bourgogne Franche-Comté
Durand,Karine;Université Bourgogne Franche-Comté
Schaal,Benoist;Université Bourgogne Franche-Comté
Baudouin,Jean-Yves;Université Bourgogne Franche-Comté
Description EEG preprocessed data (additional information in README data.txt)
License CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/)
References
Funding Conseil Régional Bourgogne Franche-Comté, PARI and FABER grants
European Funding for Regional Economic Development
French Investissements d'Avenir program, project ISITE-BFC, contract ANR-15-IDEX-03
Keywords EEG
FPVS
sweep-VEP
facial expression
intensity
tuning function
Resource Type Dataset