Premium
Processing of facial emotional expression: spatio‐temporal data as assessed by scalp event‐related potentials
Author(s) -
KrolakSalmon P.,
Fischer C.,
Vighetto A.,
Mauguière F.
Publication year - 2001
Publication title -
european journal of neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.346
H-Index - 206
eISSN - 1460-9568
pISSN - 0953-816X
DOI - 10.1046/j.0953-816x.2001.01454.x
Subject(s) - facial expression , disgust , psychology , emotional expression , scalp , event related potential , surprise , stimulus (psychology) , happiness , cognitive psychology , audiology , electroencephalography , neuroscience , communication , anger , social psychology , medicine , anatomy
Event‐related potentials (ERPs) were recorded in 10 adult volunteers, who were asked to view pictures of faces with different emotional expressions, i.e. fear, happiness, disgust, surprise and neutral expression [Ekman, P. & Friesen, W.V. (1975). Pictures of Facial Affect . Consulting Psychologist Press, Palo Alto, CA]. ERPs were recorded during two different tasks with the same stimuli. Firstly, subjects were instructed to pay attention to the gender of the faces by counting males or females. Secondly, they had to focus on facial expressions by counting faces who looked surprised. The classical scalp ‘face‐related potentials’, i.e. a vertex‐positive potential and a bilateral temporal negativity, were recorded 150 ms after the stimulus onset. Significant differences were found, firstly between late‐latency ERPs to emotional faces and to neutral faces, between 250 and 550 ms of latency and, secondly, among the ERPs to the different facial expressions between 550 and 750 ms of latency. These differences appeared only during the expression discrimination task, not during the gender discrimination task. Topographic maps of these differences showed a specific right temporal activity related to each emotional expression, some particularities being observed for each expression. This study provides new data concerning the spatio‐temporal features of facial expression processing, particularly a late‐latency activity related to specific attention to facial expressions.