Evidence map›Paper›PMID 26556377›Full record

ArticleBrain sciences2015

Topography of Slow Sigma Power during Sleep is Associated with Processing Speed in Preschool Children.

Margaret R Doucette, Salome Kurth, Nicolas Chevalier, Yuko Munakata, Monique K LeBourgeois

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 31 citations in OpenAlex.

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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 2 institutions in 2 countries.

Margaret R DoucetteSleep and Development Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO 80309, USA. margaret.doucette@colorado.edu.
Salome KurthSleep and Development Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO 80309, USA. salome.kurth@colorado.edu.
Nicolas ChevalierDepartment of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK. nicolas.chevalier@ed.ac.uk.
Yuko MunakataDepartment of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO 80309, USA. munakata@colorado.edu.
Monique K LeBourgeoisSleep and Development Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO 80309, USA. monique.lebourgeois@colorado.edu.
University of Colorado Boulder · USUniversity of Edinburgh · GB

Funding

Colorado Clinical and Translational Science Institute (UL1)UL1TR000154 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2012 to 2013
$20.4M
Sleep and Emotion Regulation across Early ChildhoodR01MH086566 · NIMH · UNIVERSITY OF COLORADO · PI LEBOURGEOIS, MONIQUE K · 2010 to 2014
$2.6M
NCATS NIH HHS UL1 TR000154NIMH NIH HHS R01 MH086566
6 · The paper itself

Abstract

Cognitive development is influenced by maturational changes in processing speed, a construct reflecting the rapidity of executing cognitive operations. Although cognitive ability and processing speed are linked to spindles and sigma power in the sleep electroencephalogram (EEG), little is known about such associations in early childhood, a time of major neuronal refinement. We calculated EEG power for slow (10-13 Hz) and fast (13.25-17 Hz) sigma power from all-night high-density electroencephalography (EEG) in a cross-sectional sample of healthy preschool children (n = 10, 4.3 ± 1.0 years). Processing speed was assessed as simple reaction time. On average, reaction time was 1409 ± 251 ms; slow sigma power was 4.0 ± 1.5 μV²; and fast sigma power was 0.9 ± 0.2 μV². Both slow and fast sigma power predominated over central areas. Only slow sigma power was correlated with processing speed in a large parietal electrode cluster (p < 0.05, r ranging from -0.6 to -0.8), such that greater power predicted faster reaction time. Our findings indicate regional correlates between sigma power and processing speed that are specific to early childhood and provide novel insights into the neurobiological features of the EEG that may underlie developing cognitive abilities.

Indexed as

cognitionearly childhoodhigh density EEGpreschool childrenprocessing speedsigma powersleep spindles

Identifiers

PMID26556377
PMCPMC4701024
OpenAlexW2123579891

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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.