NDLI: Dissociation of part-based and integrated neural responses to faces by means of electroencephalographic frequency tagging.

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Dissociation of part-based and integrated neural responses to faces by means of electroencephalographic frequency tagging.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Boremanse, Adriano Norcia, Anthony M. Rossion, Bruno
Description	Country affiliation: Belgium Author Affiliation: Boremanse A ( Psychological Sciences Research Institute and Institute of Neuroscience, Université catholique de Louvain, 10 Place du Cardinal Mercier, Louvain la Neuve, 1348, Belgium.)
Abstract	In order to isolate the repetition suppression effects for each part of a whole-face stimulus, the left and right halves of face stimuli were flickered at different frequency rates (5.88 or 7.14 Hz), changing or not changing identity at every stimulation cycle. The human electrophysiological (electroencephalographic) responses to each face half increased in amplitude when different rather than repeated face half identities were presented at every stimulation cycle. Contrary to the repetition suppression effects for whole faces, which are usually found over the right occipito-temporal cortex, these part-based repetition suppression effects were found on all posterior electrode sites and were unchanged when the two face halves were manipulated by separation, lateral misalignment, or inversion. In contrast, intermodulation components (e.g. 7.14-5.88 = 1.26 Hz) were found mainly over the right occipito-temporal cortex and were significantly reduced following the aforementioned manipulations. In addition, the intermodulation components decreased substantially for face halves belonging to different identities, which form a less coherent face than when they belong to the same face identity. These observations provide objective evidence for dissociation between part-based and integrated (i.e. holistic/configural) responses to faces in the human brain, suggesting that only responses to integrated face parts reflect high-level, possibly face-specific, representations.
File Format	HTM / HTML
ISSN	0953816X
Issue Number	6
Volume Number	40
e-ISSN	14609568
Journal	European Journal of Neuroscience
Language	English
Publisher	Wiley-Blackwell
Publisher Date	2014-09-01
Publisher Place	France
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Discipline Neuroscience Brain Physiology Face Pattern Recognition, Visual Adult Electroencephalography Female Humans Male Photic Stimulation Methods Signal Processing, Computer-assisted Young Adult Journal Article Research Support, Non-u.s. Gov't
Content Type	Text
Resource Type	Article
Subject	Neuroscience

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