Efficient recognition of facial expressions does not require motor simulation

  1. Gilles Vannuscorps  Is a corresponding author
  2. Michael Andres
  3. Alfonso Caramazza
  1. Université catholique de Louvain, Belgium
  2. Harvard University, United States

Abstract

What mechanisms underlie facial expression recognition? A popular hypothesis holds that efficient facial expression recognition cannot be achieved by visual analysis alone but additionally requires a mechanism of motor simulation — an unconscious, covert imitation of the observed facial postures and movements. Here, we first discuss why this hypothesis does not necessarily follow from extant empirical evidence. Next, we report experimental evidence against the central premise of this view: we demonstrate that individuals can achieve normotypical efficient facial expression recognition despite a congenital absence of relevant facial motor representations and, therefore, unaided by motor simulation. This underscores the need to reconsider the role of motor simulation in facial expression recognition.

Data availability

Data and stimulus materials are publicly available and can be accessed on the Open Science Framework platform (https://osf.io/8t4fv/?view_only=85c15cafe5d94bb6a5cff2f09a6ef56d)

The following data sets were generated

Article and author information

Author details

  1. Gilles Vannuscorps

    Psychological Sciences Research Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium
    For correspondence
    gilles.vannuscorps@uclouvain.be
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-5686-7349
  2. Michael Andres

    Psychological Sciences Research Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium
    Competing interests
    The authors declare that no competing interests exist.
  3. Alfonso Caramazza

    Department of Psychology, Harvard University, Cambridge, United States
    Competing interests
    The authors declare that no competing interests exist.

Funding

Harvard University's Mind, Brain and Behavior Interfaculty Initiative

  • Alfonso Caramazza

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Ethics

Human subjects: The study was approved by the local Ethical committee at UCLouvain (Registration # B403201629166). Written informed consents were obtained from all participants prior to the study, and after the nature and possible consequences of the studies were explained.

Copyright

© 2020, Vannuscorps et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 3,611
    views
  • 267
    downloads
  • 13
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Gilles Vannuscorps
  2. Michael Andres
  3. Alfonso Caramazza
(2020)
Efficient recognition of facial expressions does not require motor simulation
eLife 9:e54687.
https://doi.org/10.7554/eLife.54687

Share this article

https://doi.org/10.7554/eLife.54687

Further reading

    1. Neuroscience
    Kiichi Watanabe, Hui Chiu, David J Anderson
    Tools and Resources

    Monitoring neuronal activity at single-cell resolution in freely moving Drosophila engaged in social behaviors is challenging because of their small size and lack of transparency. Extant methods, such as Flyception, are highly invasive. Whole-brain calcium imaging in head-fixed, walking flies is feasible but the animals cannot perform the consummatory phases of social behaviors like aggression or mating under these conditions. This has left open the fundamental question of whether neurons identified as functionally important for such behaviors using loss- or gain-of-function screens are actually active during the natural performance of such behaviors, and if so during which phase(s). Here, we perform brain-wide mapping of active cells expressing the Immediate Early Gene hr38 using a high-sensitivity/low background fluorescence in situ hybridization (FISH) amplification method called HCR-3.0. Using double-labeling for hr38 mRNA and for GFP, we describe the activity of several classes of aggression-promoting neurons during courtship and aggression, including P1a cells, an intensively studied population of male-specific interneurons. Using HI-FISH in combination with optogenetic activation of aggression-promoting neurons (opto-HI-FISH), we identify candidate downstream functional targets of these cells in a brain-wide, unbiased manner. Finally, we compare the activity of P1a neurons during sequential performance of courtship and aggression, using intronic vs. exonic hr38 probes to differentiate newly synthesized nuclear transcripts from cytoplasmic transcripts synthesized at an earlier time. These data provide evidence suggesting that different subsets of P1a neurons may be active during courtship vs. aggression. HI-FISH and associated methods may help to fill an important lacuna in the armamentarium of tools for neural circuit analysis in Drosophila.

    1. Neuroscience
    Mohsen Alavash
    Insight

    Combining electrophysiological, anatomical and functional brain maps reveals networks of beta neural activity that align with dopamine uptake.