title: Neural timing of visual implicit categorization.
abstract: Most of the neuroimaging studies that have shown visual category-specific activations or categorization effects have been based on a subtractive approach. In the present study, we investigated, by means of EEG, not only the net result of the categorization but also the dynamics of the process. Subjects had to perform a target detection task throughout an image set of distractors belonging to six categories: letters, geometrical figures, faces, tools, structured textures and Asiatic characters. Multivariate analyses were performed on the responses to the non-target stimuli according to their category. Categorical neural responses were only obtained on P2 latencies and N2 amplitudes. This result suggests that there are no differences in the first stage of the implicit categorization of the distractors (visual analysis and proximal stimulus representation elaboration from 100 to 220 ms) and that differences appear between 220 and 280 ms (matching to structural representations). Over-learned stimuli (e.g. letters) elicited the shortest P2 latency, contrasting with unknown categories (e.g. Asiatic characters) that revealed the longest P2 latencies and flattened N2 waves. Categorical differences indicate that the more a subject knows about an object, the less cognitive resources are used. In conclusion, our results suggest that a reduction in neural activity could reflect an improved accuracy in cognitive and cortical processing.
authors.affiliation: INSERM U455, Pavillon Riser, CHU Purpan, 31059 Toulouse, France. cyril.pernet@toulouse.inserm.fr
authors.forename: Cyril
authors.initials: C
authors.lastname: Pernet
authors.forename: Sebastien
authors.initials: S
authors.lastname: Basan
authors.forename: Bernard
authors.initials: B
authors.lastname: Doyon
authors.forename: Dominique
authors.initials: D
authors.lastname: Cardebat
authors.forename: Jean-François
authors.initials: JF
authors.lastname: Démonet
authors.forename: Pierre
authors.initials: P
authors.lastname: Celsis
mesh_terms: D000328:Adult; D000704:Analysis of Variance; D005074:Evoked Potentials, Visual / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D015999:Multivariate Analysis; D009415:Nerve Net / Q000502:physiology; D010364:Pattern Recognition, Visual / Q000145:classification* / Q000502:physiology*; D010775:Photic Stimulation / Q000379:methods*; D011930:Reaction Time / Q000502:physiology*