Evidence map›Paper›PMID 32677204›Full record

ArticleInfancy : the official journal of the International Society on Infant Studies2019

Categorical Perception of Facial Emotions in Infancy.

Hannah White, Alyson Chroust, Alison Heck, Rachel Jubran, Ashley Galati, Ramesh S Bhatt

Abstract read
In one paragraph

Article in Infancy : the official journal of the International Society on Infant Studies, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. A framework for infants' emerging affect-cognition interface.Current psychology (New Brunswick, N.J.) · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Linguistic and developmental influences on superordinate facial configuration categorization in infancy.Infancy : the official journal of the International Society on Infant Studies · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. 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

6 authors.

Hannah WhiteUniversity of Kentucky.
Alyson ChroustUniversity of Kentucky.
Alison HeckUniversity of Kentucky.
Rachel JubranUniversity of Kentucky.
Ashley GalatiUniversity of Kentucky.
Ramesh S BhattUniversity of Kentucky.

Funding

The development of emotion processing in infancyR01HD075829 · NICHD · UNIVERSITY OF KENTUCKY · PI BHATT, RAMESH S · 2015 to 2019
$1.5M
Eunice Kennedy Shriver National Institute of Child Health and Human Development HD075829NICHD NIH HHS R01 HD075829
6 · The paper itself

Abstract

Categorical perception, indicated by superior discrimination between stimuli that cross categorical boundaries than between stimuli within a category, is an efficient manner of classification. The current study examined the development of categorical perception of emotional stimuli in infancy. We used morphed facial images to investigate whether infants find contrasts between emotional facial images that cross categorical boundaries to be more salient than those that do not, while matching the degree of differences in the two contrasts. Five-month-olds exhibited sensitivity to the categorical boundary between sadness and disgust, between happiness and surprise, as well as between sadness and anger but not between anger and disgust. Even 9-month-olds failed to exhibit evidence of a definitive category boundary between anger and disgust. These findings indicate the presence of discrete boundaries between some, but not all, of the basic emotions early in life. Implications of these findings for the major theories of emotion representation are discussed.

Identifiers

PMID32677204
PMCPMC9583889

What OpenQuestion holds

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Registered trials

None linked

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.