N170 adaptation effect for repeated faces and words

Cao, Xiaohua; Xl, Ma; Qi, Cheng

doi:10.1016/j.neuroscience.2015.03.009

Cited by 24 publications

(25 citation statements)

References 66 publications

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“…Repetition enhancement effects on the ERP amplitude have been (Morel et al, 2009), however, unlike the current experiments, stimulus repeats occurred at a latency of greater than one minute. Most studies reporting effects of short-latency stimulus repeats on the N/M170 report reductions in N/M170 amplitude to stimulus repetition (Kloth et al, 2010; Mercure et al, 2011; Eimer et al, 2011; Fu et al, 2012; Engell and McCarthy, 2014; Caharel et al, 2015; Cao et al, 2015; Feuerriegel et al, 2015; Simpson et al, 2015; Tian et al, 2015). That said, on the basis of the current experiments we cannot rule out the possibility that image repetitions may have had some influence on the ERP, since there is some evidence in the (auditory) ERP literature that repetition suppression and expectation suppression may interact (Todorovic & de Lange, 2012).…”

Section: Discussionmentioning

confidence: 99%

Temporal and spatial localization of prediction-error signals in the visual brain

Johnston

Robinson

Kokkinakis

et al. 2016

Preprint

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It has been suggested that the brain pre-empts changes in the visual environment through generating predictions, although real-time eletrophysiological evidence of prediction violations remains elusive. In a series of experiments we showed participants sequences of images that followed a predictable implied sequence or whose final image violated the implied sequence. Through careful design we were able to use the same final image transitions across predictable and unpredictable conditions, ensuring that any differences in neural responses were due only to preceding context and not to the images themselves. EEG and MEG recordings showed that early/mid-latency visual evoked potentials were robustly modulated by images that violated the implied sequence across a range of types of image change (expression deformations, rigid-rotations and visual field location). This modulation occurred irrespective of stimulus object category. Although the stimuli were static images, MEG source reconstruction of the early latency signal (N/M170) localised expectancy violation signals to brain areas associated with motion perception. Our findings suggest that the N/M170 can index mismatches between predicted and actual visual inputs in a system that predicts trajectories based on ongoing context. This has important implications for understanding the N/M170 and investigating how the brain represents context to generate perceptual predictions.

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Section: Discussionmentioning

confidence: 99%

Temporal and spatial localization of prediction-error signals in the visual brain

Johnston

Robinson

Kokkinakis

et al. 2016

Preprint

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“…Moreover, our results are consistent with previous observations in the visual domain. Recently, Cao et al (2014Cao et al ( , 2015 used a cross-category adaptation to examine the relationship between faces and words. They analyzed the electrophysiological responses (N170) to these stimuli separately, as a function of their preceding stimulus, belonging to either the same category or not.…”

Section: Category-specific Adaptation Effectsmentioning

confidence: 99%

Early selectivity for vocal and musical sounds: electrophysiological evidence from an adaptation paradigm

Rigoulot

Armony

2016

Eur J of Neuroscience

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There is growing interest in characterizing the neural basis of music perception and, in particular, assessing how similar, or not, it is to that of speech. To further explore this question, we employed an EEG adaptation paradigm in which we compared responses to short sounds belonging to the same category, either speech (pseudo-sentences) or music (piano or violin), depending on whether they were immediately preceded by a same- or different-category sound. We observed a larger reduction in the N100 component magnitude in response to musical sounds when they were preceded by music (either the same or different instrument) than by speech. In contrast, the N100 amplitude was not affected by the preceding stimulus category in the case of speech. For P200 component, we observed a diminution of amplitude when speech sounds were preceded speech, compared to music. No such decrease was found when we compared the responses to music sounds. These differences in the processing of speech and music are consistent with the proposal that some degree of category selectivity for these two classes of complex stimuli already occurs at early stages of auditory processing, possibly subserved by partly separated neuronal populations.

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“…Previous studies have reported that the P100 amplitude elicited by faces is different from that elicited by words (Mercure et al, 2011 ; Fu et al, 2012 ; Cao et al, 2015b ). In order to ensure that N170 amplitude differences could not be attributed to P100 amplitude differences between faces and Chinese characters, statistical analyses of the N170 amplitude focused on peak-to-peak measurements, for which baseline-to-peak P100 amplitudes were subtracted from baseline-to-peak N170 amplitudes (Itier and Taylor, 2002 ; Goffaux et al, 2003 ; Rossion et al, 2003 ; Bentin et al, 2007 ; Tian et al, 2015 ).…”

Section: Methodsmentioning

confidence: 87%

“…For example, many studies have demonstrated that N170 amplitudes are attenuated during face tests that are preceded by face adaptors rather than by non-face adaptors (e.g., houses), suggesting a face-related categorical adaptation effect when there is a short ISI (e.g., 200 ms) (Nemrodov and Itier, 2011 ; Cao et al, 2014b ). Similar to the face-related N170 categorical adaptation effect, word-related effects have been demonstrated using short ISIs (e.g., 200 ms) (Cao et al, 2014a , b , 2015b ). Previous studies have also demonstrated that objects of non-expertise cannot produce N170 categorical adaptation similar to that produced by objects of expertise (Cao et al, 2015a ).…”

Section: Introductionmentioning

confidence: 84%

“…For example, the N170 response evoked by faces is often greater than that evoked by non-face objects (Bentin et al, 1996 ; Eimer, 2000a ; Itier and Taylor, 2004 ; Rossion and Jacques, 2008 ) and the N170 response to words is much stronger than for letter strings (Bentin et al, 1999 ; Maurer et al, 2005b ) or line drawings (Cao and Zhang, 2011 ; Cao et al, 2011 ; Lin et al, 2011 ; Yum et al, 2011 ; Zhao et al, 2012 ). Furthermore, recent ERP studies have demonstrated an important neural trait, the N170 categorical adaptation effect, by measuring the N170 response to face and word processing (Eimer et al, 2010 , 2011 ; Cao et al, 2014b , 2015b ).…”

Section: Introductionmentioning

confidence: 99%

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Sex Differences in Categorical Adaptation for Faces and Chinese Characters during Early Perceptual Processing

Zhu

et al. 2018

Front. Hum. Neurosci.

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Previous event-related potential studies support sex differences in the N170 response during face and word processing; however, it remains unclear whether N170 categorical adaptation for faces and words is different between women and men. Using an adaptation paradigm, in which an adaptor and subsequent test stimulus are presented during each trial, the present study investigated N170 categorical adaptation for faces and Chinese characters in both women and men. The results demonstrated that the N170 amplitude elicited by test stimuli in within-category condition was lower than in control category condition, and this was observed during both face and Chinese character processing in women and men. In addition, we found that men have greater N170 categorical adaptation for face and word processing than women. There was also a significant correlation between N170 categorical adaptation indices for face and Chinese character processing in men, which did not occur in women. These findings suggest that men and women process repeated faces or words differently.

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N170 adaptation effect for repeated faces and words

Cited by 24 publications

References 66 publications

Temporal and spatial localization of prediction-error signals in the visual brain

Temporal and spatial localization of prediction-error signals in the visual brain

Early selectivity for vocal and musical sounds: electrophysiological evidence from an adaptation paradigm

Sex Differences in Categorical Adaptation for Faces and Chinese Characters during Early Perceptual Processing

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