Evidence map›Paper›PMID 29341120›Full record

ArticleChild development2018

Trajectories of Infants' Biobehavioral Development: Timing and Rate of A-Not-B Performance Gains and EEG Maturation.

Leigha A MacNeill, Nilam Ram, Martha Ann Bell, Nathan A Fox, Koraly Pérez-Edgar

Open access · greenAbstract read
In one paragraph

Article in Child development, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
7.6field-weighted citation impact, top 3% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

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  19. Individual differences in infancy research: Letting the baby stand out from the crowd.Infancy : the official journal of the International Society on Infant Studies · 2020
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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

5 authors at 3 institutions in 1 country.

Leigha A MacNeillThe Pennsylvania State University.ORCID 0000-0001-8218-3653
Nilam RamThe Pennsylvania State University.
Martha Ann BellVirginia Tech.
Nathan A FoxUniversity of Maryland.
Koraly Pérez-EdgarThe Pennsylvania State University.
Pennsylvania State University · USUniversity of Maryland, College Park · USVirginia Tech · US

Funding

Affect &Cerebral Asymmetry: A Developmental ApproachR37HD017899 · NICHD · UNIV OF MARYLAND, COLLEGE PARK · PI FOX, NATHAN A · 2001 to 2010
$5.6M
Emerging relations between attention and negative affect in the first two years of lifeR01MH109692 · NIMH · PENNSYLVANIA STATE UNIVERSITY, THE · PI BUSS, KRISTIN A, LOBUE, VANESSA · 2016 to 2020
$4.5M
NICHD NIH HHS R37 HD017899NIMH NIH HHS R01 MH109692
6 · The paper itself

Abstract

This study examined how timing (i.e., relative maturity) and rate (i.e., how quickly infants attain proficiency) of A-not-B performance were related to changes in brain activity from age 6 to 12 months. A-not-B performance and resting EEG (electroencephalography) were measured monthly from age 6 to 12 months in 28 infants and were modeled using logistic and linear growth curve models. Infants with faster performance rates reached performance milestones earlier. Infants with faster rates of increase in A-not-B performance had lower occipital power at 6 months and greater linear increases in occipital power. The results underscore the importance of considering nonlinear change processes for studying infants' cognitive development as well as how these changes are related to trajectories of EEG power.

Indexed as

Cerebral CortexChild DevelopmentElectroencephalographyFemaleHumansInfantInfant BehaviorMaleThinkingTime FactorsVisual Perception

Identifiers

PMID29341120
PMCPMC5948122
OpenAlexW2792027840

What OpenQuestion holds

Textmetadata
LicenceTDM
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.