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Attentional Weighting in the Face Processing Network: A Magnetic Response Image-guided Magnetoencephalography Study Using Multiple Cyclic Entrainments
Author(s) -
Eelke de Vries,
Daniel Baldauf
Publication year - 2019
Publication title -
journal of cognitive neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.597
H-Index - 214
eISSN - 1530-8898
pISSN - 0898-929X
DOI - 10.1162/jocn_a_01428
Subject(s) - magnetoencephalography , psychology , fusiform face area , face (sociological concept) , communication , face perception , entrainment (biomusicology) , visual processing , weighting , visual perception , neuroscience , cognitive psychology , rhythm , perception , electroencephalography , medicine , social science , sociology , radiology , aesthetics , philosophy
We recorded magnetoencephalography using a neural entrainment paradigm with compound face stimuli that allowed for entraining the processing of various parts of a face (eyes, mouth) as well as changes in facial identity. Our magnetic response image-guided magnetoencephalography analyses revealed that different subnodes of the human face processing network were entrained differentially according to their functional specialization. Whereas the occipital face area was most responsive to the rate at which face parts (e.g., the mouth) changed, and face patches in the STS were mostly entrained by rhythmic changes in the eye region, the fusiform face area was the only subregion that was strongly entrained by the rhythmic changes in facial identity. Furthermore, top-down attention to the mouth, eyes, or identity of the face selectively modulated the neural processing in the respective area (i.e., occipital face area, STS, or fusiform face area), resembling behavioral cue validity effects observed in the participants' RT and detection rate data. Our results show the attentional weighting of the visual processing of different aspects and dimensions of a single face object, at various stages of the involved visual processing hierarchy.

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