Evidence map›Paper›PMID 34329806›Full record

SynthesisDevelopmental cognitive neuroscience2021

The development of neural responses to emotional faces: A review of evidence from event-related potentials during early and middle childhood.

Felicity J Bigelow, Gillian M Clark, Jarrad A G Lum, Peter G Enticott

Abstract readSystematic Review
In one paragraph

Synthesis in Developmental cognitive neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Felicity J BigelowCognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia. Electronic address: fbigelow@deakin.edu.au.
Gillian M ClarkCognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia.
Jarrad A G LumCognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia.
Peter G EnticottCognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Facial emotion processing (FEP) develops throughout childhood and provides crucial social information necessary for the interpretation and prediction of others' behaviour. This systematic review, which includes a meta-regression component, sought to explore the development of FEP event-related potentials (P100, N170, and late positive potential [LPP]) in children aged three to twelve years. Thirty-four studies, representing data from 1511 children, were included in the review. The combination of meta-regression and systematic review suggest that P100 amplitude decreases with increasing age in response to emotional facial stimuli. P100 latency may show a gradual decrease around the age of ten. In terms of the N170, it is suggested that amplitude follows a non-linear trend with age, and latency may decrease in early childhood before plateauing during middle childhood. Of note, review of the literature indicates that substantial methodological differences and high levels of heterogeneity exist. We suggest future research considers these results within the context of emotion-specific development, whilst also acknowledging how this may relate to individual social functioning skills across early-to-middle childhood.

Indexed as

ElectroencephalographyFacial ExpressionChildChild, PreschoolEmotionsEvoked PotentialsHumansSocial SkillsEarly childhoodEvent-related potentialsFacial emotion processingMeta-regressionMiddle childhoodSystematic review

Identifiers

PMID34329806
PMCPMC8339225

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.