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Single-subject analyses of magnetoencephalographic evoked responses to the acoustic properties of affective non-verbal vocalizations

Overview of attention for article published in Frontiers in Neuroscience, December 2014
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  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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Title
Single-subject analyses of magnetoencephalographic evoked responses to the acoustic properties of affective non-verbal vocalizations
Published in
Frontiers in Neuroscience, December 2014
DOI 10.3389/fnins.2014.00422
Pubmed ID
Authors

Emilie Salvia, Patricia E. G. Bestelmeyer, Sonja A. Kotz, Guillaume A. Rousselet, Cyril R. Pernet, Joachim Gross, Pascal Belin

Abstract

Magneto-encephalography (MEG) was used to examine the cerebral response to affective non-verbal vocalizations (ANVs) at the single-subject level. Stimuli consisted of non-verbal affect bursts from the Montreal Affective Voices morphed to parametrically vary acoustical structure and perceived emotional properties. Scalp magnetic fields were recorded in three participants while they performed a 3-alternative forced choice emotion categorization task (Anger, Fear, Pleasure). Each participant performed more than 6000 trials to allow single-subject level statistical analyses using a new toolbox which implements the general linear model (GLM) on stimulus-specific responses (LIMO-EEG). For each participant we estimated "simple" models [including just one affective regressor (Arousal or Valence)] as well as "combined" models (including acoustical regressors). Results from the "simple" models revealed in every participant the significant early effects (as early as ~100 ms after onset) of Valence and Arousal already reported at the group-level in previous work. However, the "combined" models showed that few effects of Arousal remained after removing the acoustically-explained variance, whereas significant effects of Valence remained especially at late stages. This study demonstrates (i) that single-subject analyses replicate the results observed at early stages by group-level studies and (ii) the feasibility of GLM-based analysis of MEG data. It also suggests that early modulation of MEG amplitude by affective stimuli partly reflects their acoustical properties.

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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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 17 27%
Researcher 11 18%
Student > Ph. D. Student 8 13%
Student > Master 7 11%
Student > Postgraduate 3 5%
Other 11 18%
Unknown 5 8%
Readers by discipline Count As %
Psychology 32 52%
Neuroscience 10 16%
Agricultural and Biological Sciences 2 3%
Computer Science 2 3%
Engineering 2 3%
Other 4 6%
Unknown 10 16%
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 23 December 2014.
All research outputs
#7,960,512
of 25,374,647 outputs
Outputs from Frontiers in Neuroscience
#5,072
of 11,542 outputs
Outputs of similar age
#99,877
of 359,712 outputs
Outputs of similar age from Frontiers in Neuroscience
#56
of 115 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 11,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 55% 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 359,712 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 71% of its contemporaries.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.