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Face Recognition, Musical Appraisal, and Emotional Crossmodal Bias

Overview of attention for article published in Frontiers in Behavioral Neuroscience, August 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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Title
Face Recognition, Musical Appraisal, and Emotional Crossmodal Bias
Published in
Frontiers in Behavioral Neuroscience, August 2017
DOI 10.3389/fnbeh.2017.00144
Pubmed ID
Authors

Sara Invitto, Antonio Calcagnì, Arianna Mignozzi, Rosanna Scardino, Giulia Piraino, Daniele Turchi, Irio De Feudis, Antonio Brunetti, Vitoantonio Bevilacqua, Marina de Tommaso

Abstract

Recent research on the crossmodal integration of visual and auditory perception suggests that evaluations of emotional information in one sensory modality may tend toward the emotional value generated in another sensory modality. This implies that the emotions elicited by musical stimuli can influence the perception of emotional stimuli presented in other sensory modalities, through a top-down process. The aim of this work was to investigate how crossmodal perceptual processing influences emotional face recognition and how potential modulation of this processing induced by music could be influenced by the subject's musical competence. We investigated how emotional face recognition processing could be modulated by listening to music and how this modulation varies according to the subjective emotional salience of the music and the listener's musical competence. The sample consisted of 24 participants: 12 professional musicians and 12 university students (non-musicians). Participants performed an emotional go/no-go task whilst listening to music by Albeniz, Chopin, or Mozart. The target stimuli were emotionally neutral facial expressions. We examined the N170 Event-Related Potential (ERP) and behavioral responses (i.e., motor reaction time to target recognition and musical emotional judgment). A linear mixed-effects model and a decision-tree learning technique were applied to N170 amplitudes and latencies. The main findings of the study were that musicians' behavioral responses and N170 is more affected by the emotional value of music administered in the emotional go/no-go task and this bias is also apparent in responses to the non-target emotional face. This suggests that emotional information, coming from multiple sensory channels, activates a crossmodal integration process that depends upon the stimuli emotional salience and the listener's appraisal.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 23%
Student > Master 10 14%
Student > Ph. D. Student 8 11%
Researcher 6 8%
Professor > Associate Professor 4 6%
Other 14 20%
Unknown 13 18%
Readers by discipline Count As %
Psychology 21 30%
Neuroscience 7 10%
Computer Science 6 8%
Nursing and Health Professions 3 4%
Unspecified 3 4%
Other 13 18%
Unknown 18 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 19 November 2020.
All research outputs
#3,846,182
of 25,709,917 outputs
Outputs from Frontiers in Behavioral Neuroscience
#675
of 3,485 outputs
Outputs of similar age
#65,376
of 328,191 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#13
of 57 outputs
Altmetric has tracked 25,709,917 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,485 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has done well, scoring higher than 80% 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 328,191 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.