Evidence map›Paper›PMID 26681615›Full record

ArticlePsychophysiology2016

To Stroop or not to Stroop: Sex-related differences in brain-behavior associations during early childhood.

Kimberly Cuevas, Susan D Calkins, Martha Ann Bell

Open access · bronzeAbstract read
In one paragraph

Article in Psychophysiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 30% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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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

3 authors at 3 institutions in 1 country.

Kimberly CuevasDepartment of Psychology, University of Connecticut, Waterbury, Connecticut, USA.
Susan D CalkinsDepartment of Human Development & Family Studies, University of North Carolina, Greensboro, Greensboro, North Carolina, USA.
Martha Ann BellDepartment of Psychology, Virginia Tech, Blacksburg, Virginia, USA.
University of Connecticut · USUniversity of North Carolina at Greensboro · USVirginia Tech · US

Funding

Psychobiology of Cognitive DevelopmentR01HD049878 · NICHD · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI BELL, MARTHA ANN · 2007 to 2017
$5.0M
NICHD NIH HHS HD049878NICHD NIH HHS R01 HD049878
6 · The paper itself

Abstract

Executive functions (EFs) are linked with optimal cognitive and social-emotional development. Despite behavioral evidence of sex differences in early childhood EF, little is known about potential sex differences in corresponding brain-behavior associations. The present study examined changes in 4-year-olds' 6-9 Hz EEG power in response to increased executive processing demands (i.e., "Stroop-like" vs. "non-Stroop" day-night tasks). Although there were no sex differences in task performance, an examination of multiple scalp electrode sites revealed that boys exhibited more widespread changes in EEG power as compared to girls. Further, multiple regression analyses controlling for maternal education and non-EF performance indicated that individual differences in boys' and girls' EF performance were associated with different frontal neural correlates (i.e., different frontal scalp sites and different measures of EEG power). These data reveal valuable information concerning sex differences in the neural systems underlying executive processing during early childhood.

Indexed as

IndividualitySex CharacteristicsBrain WavesChild BehaviorChild DevelopmentChild, PreschoolExecutive FunctionFemaleFrontal LobeHumansMaleStroop TestChildrenEEGExecutive functionInhibitory controlSex differences

Identifiers

PMID26681615
PMCPMC4685738
OpenAlexW2234212092

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.