Converging neural and behavioral evidence for a rapid, generalized response to threat-related facial expressions in 3-year-old children
•Children's ERP and behavioral responses to facial expressions converge on an enhanced response to threat-related (i.e., fearful and angry) faces at 3 years of age.•A support vector machine learning model using ERP responses to threat reliably predicts overt attentional dwell time for threat-re...
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Published in | NeuroImage (Orlando, Fla.) Vol. 229; p. 117732 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
01.04.2021
Elsevier Limited Elsevier |
Subjects | |
Online Access | Get full text |
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Summary: | •Children's ERP and behavioral responses to facial expressions converge on an enhanced response to threat-related (i.e., fearful and angry) faces at 3 years of age.•A support vector machine learning model using ERP responses to threat reliably predicts overt attentional dwell time for threat-related faces.•There is little within-subject correlation between threat-bias attention in infancy and at 3 years of age.
Electrophysiological studies on adults suggest that humans are efficient at detecting threat from facial information and tend to grant these signals a priority in access to attention, awareness, and action. The developmental origins of this bias are poorly understood, partly because few studies have examined the emergence of a generalized neural and behavioral response to distinct categories of threat in early childhood. We used event-related potential (ERP) and eye-tracking measures to examine children's early visual responses and overt attentional biases towards multiple exemplars of angry and fearful vs. other (e.g., happy and neutral) faces. A large group of children was assessed longitudinally in infancy (5, 7, or 12 months) and at 3 years of age. The final ERP dataset included 148 infants and 132 3-year-old children; and the final eye-tracking dataset included 272 infants and 334 3-year-olds. We demonstrate that 1) neural and behavioral responses to facial expressions converge on an enhanced response to fearful and angry faces at 3 years of age, with no differentiation between or bias towards one or the other of these expressions, and 2) a support vector machine learning model using data on the early-stage neural responses to threat reliably predicts the duration of overt attentional dwell time for threat-related faces at 3 years. However, we found little within-subject correlation between threat-bias attention in infancy and at 3 years of age. These results provide unique evidence for the early development of a rapid, unified response to two distinct categories of facial expressions with different physical characteristics, but shared threat-related meaning. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Credit authorship contribution statement Wanze Xie: Conceptualization, Data curation, Formal analysis, Methodology, Software, Visualization, Writing - original draft, Writing - review & editing. Jukka M. Leppänen: Formal analysis, Methodology, Software, Writing - original draft, Writing - review & editing. Finola E. Kane-Grade: Data curation, Supervision, Project administration, Writing - original draft, Writing - review & editing. Charles A. Nelson: Conceptualization, Funding acquisition, Resources, Supervision, Writing - original draft, Writing - review & editing. |
ISSN: | 1053-8119 1095-9572 1095-9572 |
DOI: | 10.1016/j.neuroimage.2021.117732 |