↓ Skip to main content

Facial Expression Related vMMN: Disentangling Emotional from Neutral Change Detection

Overview of attention for article published in Frontiers in Human Neuroscience, January 2017
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users

Readers on

mendeley
52 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Facial Expression Related vMMN: Disentangling Emotional from Neutral Change Detection
Published in
Frontiers in Human Neuroscience, January 2017
DOI 10.3389/fnhum.2017.00018
Pubmed ID
Authors

Klara Kovarski, Marianne Latinus, Judith Charpentier, Helen Cléry, Sylvie Roux, Emmanuelle Houy-Durand, Agathe Saby, Frédérique Bonnet-Brilhault, Magali Batty, Marie Gomot

Abstract

Detection of changes in facial emotional expressions is crucial to communicate and to rapidly and automatically process possible threats in the environment. Recent studies suggest that expression-related visual mismatch negativity (vMMN) reflects automatic processing of emotional changes. In the present study we used a controlled paradigm to investigate the specificity of emotional change-detection. In order to disentangle specific responses to emotional deviants from that of neutral deviants, we presented neutral expression as standard stimulus (p = 0.80) and both angry and neutral expressions as deviants (p = 0.10, each). In addition to an oddball sequence, an equiprobable sequence was presented, to control for refractoriness and low-level differences. Our results showed that in an early time window (100-200 ms), the controlled vMMN was greater than the oddball vMMN only for the angry deviant, suggesting the importance of controlling for refractoriness and stimulus physical features in emotion related studies. Within the controlled vMMN, angry and neutral deviants both elicited early and late peaks occurring at 140 and 310 ms, respectively, but only the emotional vMMN presented sustained amplitude after each peak. By directly comparing responses to emotional and neutral deviants, our study provides evidence of specific activity reflecting the automatic detection of emotional change. This differs from broader "visual" change processing, and suggests the involvement of two partially-distinct pre-attentional systems in the detection of changes in facial expressions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 23%
Researcher 7 13%
Student > Master 7 13%
Student > Doctoral Student 5 10%
Student > Bachelor 4 8%
Other 6 12%
Unknown 11 21%
Readers by discipline Count As %
Psychology 16 31%
Neuroscience 5 10%
Computer Science 3 6%
Medicine and Dentistry 2 4%
Agricultural and Biological Sciences 1 2%
Other 6 12%
Unknown 19 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 April 2017.
All research outputs
#8,448,015
of 25,375,376 outputs
Outputs from Frontiers in Human Neuroscience
#3,418
of 7,669 outputs
Outputs of similar age
#148,234
of 432,494 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#93
of 181 outputs
Altmetric has tracked 25,375,376 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 7,669 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has gotten more attention than average, scoring higher than 54% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 432,494 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 181 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.