2014
DOI: 10.1111/ejn.12663
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Dissociation of part‐based and integrated neural responses to faces by means of electroencephalographic frequency tagging

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 effect… Show more

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Cited by 39 publications
(46 citation statements)
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“…In the frequency-tagging EEG literature [ 25 27 ], noise is defined as power at the non-tagging frequencies and signal-to-noise ratio is defined as relative increase of power at the tagging-frequencies. This definition removes any need of the resting condition that is typically required in the standard fMRI protocol.…”
Section: Methodsmentioning
confidence: 99%
“…In the frequency-tagging EEG literature [ 25 27 ], noise is defined as power at the non-tagging frequencies and signal-to-noise ratio is defined as relative increase of power at the tagging-frequencies. This definition removes any need of the resting condition that is typically required in the standard fMRI protocol.…”
Section: Methodsmentioning
confidence: 99%
“…First, the image properties of faces and words are completely distinct-whereas faces comprise 3D structure with more curved features and with parts which are not easily separable (e.g., eyes, nose and mouth), words are composed of 2D structure with individual letters which occur independently in their own right and are made of mostly straight edges. The image differences, and the engagement of more configural processing for faces and more part-based or compositional processing for words, have led to a view in which there are two distinct mechanisms, one a more holistic system and the other a more feature-based system, such that faces are processed entirely by the former, words are processed entirely by the latter, and other classes of objects are processed by some combination of the two (Boremanse, Norcia, & Rossion, 2014;Busigny & Rossion, 2011;Farah, 1991Farah, , 1992Rossion et al, 2000).…”
Section: Circumscribed Cortical Regions Subserving Recognition Of Difmentioning
confidence: 99%
“…Furthermore, reversing or modulating aspects of facial contrast, in specific regions of the face provides an index of visual processing of that particular aspect or feature, which can then be examined using factorial experimental designs and appropriate behavioral tasks. Recently, a similar approach termed Fast Periodic Visual Stimulation has been applied to studies of face processing (e.g., Ales, Farzin, Rossion, & Norcia, 2012; Alonso-Prieto, Van Belle, Liu-Shuang, Norcia, & Rossion, 2013; Boremanse, Norcia, & Rossion, 2014; Liu-Shuang, Norcia, & Rossion, 2014). This approach uses spectral analyses of ssVEP signals evoked by a rapid presentation stream that periodically and intermittently includes a stimulus dimension of interest.…”
Section: Steady-state Veps and Frequency Tagging As A Tool For Stumentioning
confidence: 99%