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Do facial expressions develop before birth?

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Article numbere24081
<mark>Journal publication date</mark>31/08/2011
<mark>Journal</mark>PLoS ONE
Issue number8
Volume6
Number of pages7
Publication StatusPublished
<mark>Original language</mark>English

Abstract

Background: Fetal facial development is essential not only for postnatal bonding between parents and child, but also theoretically for the study of the origins of affect. However, how such movements become coordinated is poorly
understood. 4-D ultrasound visualisation allows an objective coding of fetal facial movements.
Methodology/Findings: Based on research using facial muscle movements to code recognisable facial expressions in adults and adapted for infants, we defined two distinct fetal facial movements, namely ‘‘cry-face-gestalt’’ and ‘‘laughter gestalt,’’ both made up of up to 7 distinct facial movements. In this conceptual study, two healthy fetuses were then scanned at different gestational ages in the second and third trimester. We observed that the number and complexity of simultaneous movements increased with gestational age. Thus, between 24 and 35 weeks the mean number of cooccurrences
of 3 or more facial movements increased from 7% to 69%. Recognisable facial expressions were also observed to develop. Between 24 and 35 weeks the number of co-occurrences of 3 or more movements making up a ‘‘cry-face
gestalt’’ facial movement increased from 0% to 42%. Similarly the number of co-occurrences of 3 or more facial movementscombining to a ‘‘laughter-face gestalt’’ increased from 0% to 35%. These changes over age were all highly significant.
Significance: This research provides the first evidence of developmental progression from individual unrelated facial movements toward fetal facial gestalts. We propose that there is considerable potential of this method for assessing fetal development: Subsequent discrimination of normal and abnormal fetal facial development might identify health problems
in utero.

Bibliographic note

© 2011 Reissland et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.