Evidence map›Paper›PMID 31261725›Full record

ArticleBrain sciences2019

Neural Sensitivity to Mutual Information in Intermediate-Complexity Face Features Changes during Childhood.

Benjamin Balas, Assaf Harel, Amanda Auen, Alyson Saville

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 93% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

Benjamin BalasDepartment of Psychology, Center for Visual and Cognitive Neuroscience, North Dakota State University, Fargo, ND 58102, USA. Benjamin.balas@ndsu.edu.
Assaf HarelDepartment of Psychology, Center for Visual and Cognitive Neuroscience, North Dakota State University, Fargo, ND 58102, USA.ORCID 0000-0002-4899-6156
Amanda AuenDepartment of Psychology, Center for Visual and Cognitive Neuroscience, North Dakota State University, Fargo, ND 58102, USA.
Alyson SavilleDepartment of Psychology, Center for Visual and Cognitive Neuroscience, North Dakota State University, Fargo, ND 58102, USA.
North Dakota State University · US

Funding

National Science Foundation BCS-1348627
6 · The paper itself

Abstract

One way in which face recognition develops during infancy and childhood is with regard to the visual information that contributes most to recognition judgments. Adult face recognition depends on critical features spanning a hierarchy of complexity, including low-level, intermediate, and high-level visual information. To date, the development of adult-like information biases for face recognition has focused on low-level features, which are computationally well-defined but low in complexity, and high-level features, which are high in complexity, but not defined precisely. To complement this existing literature, we examined the development of children's neural responses to intermediate-level face features characterized using mutual information. Specifically, we examined children's and adults' sensitivity to varying levels of category diagnosticity at the P100 and N170 components. We found that during middle childhood, sensitivity to mutual information shifts from early components to later ones, which may indicate a critical restructuring of face recognition mechanisms that takes place over several years. This approach provides a useful bridge between the study of low- and high-level visual features for face recognition and suggests many intriguing questions for further investigation.

Indexed as

electrophysiologyface detectionvisual development

Identifiers

PMID31261725
PMCPMC6680524
OpenAlexW2955315568

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.