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Social Cognitive and Affective Neuroscience
Article . 2025 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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PubMed Central
Article . 2025
License: CC BY NC ND
Data sources: PubMed Central
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Mapping neural signatures of face processing in young children: an OPM-MEG study

Authors: Kristina Safar; Marlee M Vandewouw; Natalie Rhodes; Julie Sato; Margot J Taylor;

Mapping neural signatures of face processing in young children: an OPM-MEG study

Abstract

Abstract Facial expressions are fundamental to social communication, with emotional face processing developing throughout childhood. However, the neural mechanisms underlying this process in young children remain underexplored due to challenges in neuroimaging this population. Optically pumped magnetometers (OPMs), a wearable magnetoencephalography (MEG) technology, offer potential advantages for studying these responses early in life. This study investigated evoked responses and functional connectivity in 45 children (3–5 years) during an emotional face processing task using OPM-MEG. The M170 component, a key marker of face processing, and whole-brain functional connectivity of eight regions of interest were assessed. Children exhibited a robust M170 response to emotional faces in the bilateral fusiform gyri. Peak amplitude increased with age, but no significant latency changes were observed. A significant network of increased connectivity following emotional face onset, involving connections between the amygdalae, insulae, occipital, and frontal regions was found. This study provides the first evidence of M170 responses and large-scale connectivity to emotional faces in young children using OPM-MEG. Findings highlight the feasibility of OPMs for developmental neuroimaging and provide insights into the maturation of emotion-related neural circuits in early childhood. These results establish a foundation for future face processing research in clinical paediatric populations, such as autism.

Keywords

Male, Brain Mapping, Emotions, Magnetoencephalography, Brain, Original Research – Neuroscience, Facial Expression, Wearable Electronic Devices, Child, Preschool, Humans, Female, Facial Recognition

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    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
Green
gold