ArnaudL/ExpInt @ 70e4a8a6133f68f22f82c785ef077cf72a384efb

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Arnaud Leleu 70e4a8a613 Mettre à jour 'datacite.yml'		%!s(int64=6) %!d(string=hai) anos
LICENSE	8a860b2605 Initial commit	%!s(int64=6) %!d(string=hai) anos
README data.txt	72186c08f3 Transférer les fichiers vers ''	%!s(int64=6) %!d(string=hai) anos
README.md	8a860b2605 Initial commit	%!s(int64=6) %!d(string=hai) anos
data.zip	72186c08f3 Transférer les fichiers vers ''	%!s(int64=6) %!d(string=hai) anos
datacite.yml	70e4a8a613 Mettre à jour 'datacite.yml'	%!s(int64=6) %!d(string=hai) anos

		
				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