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Converging neural and behavioral evidence for a rapid, generalized response to threat-related facial expressions in 3-year-old children

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...

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Autores principales: Xie, Wanze, Leppänen, Jukka M., Kane-Grade, Finola E., Nelson, Charles A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8109251/
https://www.ncbi.nlm.nih.gov/pubmed/33482397
http://dx.doi.org/10.1016/j.neuroimage.2021.117732
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author Xie, Wanze
Leppänen, Jukka M.
Kane-Grade, Finola E.
Nelson, Charles A.
author_facet Xie, Wanze
Leppänen, Jukka M.
Kane-Grade, Finola E.
Nelson, Charles A.
author_sort Xie, Wanze
collection PubMed
description 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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spelling pubmed-81092512021-05-10 Converging neural and behavioral evidence for a rapid, generalized response to threat-related facial expressions in 3-year-old children Xie, Wanze Leppänen, Jukka M. Kane-Grade, Finola E. Nelson, Charles A. Neuroimage Article 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. 2021-01-20 2021-04-01 /pmc/articles/PMC8109251/ /pubmed/33482397 http://dx.doi.org/10.1016/j.neuroimage.2021.117732 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Article
Xie, Wanze
Leppänen, Jukka M.
Kane-Grade, Finola E.
Nelson, Charles A.
Converging neural and behavioral evidence for a rapid, generalized response to threat-related facial expressions in 3-year-old children
title Converging neural and behavioral evidence for a rapid, generalized response to threat-related facial expressions in 3-year-old children
title_full Converging neural and behavioral evidence for a rapid, generalized response to threat-related facial expressions in 3-year-old children
title_fullStr Converging neural and behavioral evidence for a rapid, generalized response to threat-related facial expressions in 3-year-old children
title_full_unstemmed Converging neural and behavioral evidence for a rapid, generalized response to threat-related facial expressions in 3-year-old children
title_short Converging neural and behavioral evidence for a rapid, generalized response to threat-related facial expressions in 3-year-old children
title_sort converging neural and behavioral evidence for a rapid, generalized response to threat-related facial expressions in 3-year-old children
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8109251/
https://www.ncbi.nlm.nih.gov/pubmed/33482397
http://dx.doi.org/10.1016/j.neuroimage.2021.117732
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