Evidence map›Paper›PMID 34188057›Full record

ArticleNPJ science of learning2021

Rhythm, reading, and sound processing in the brain in preschool children.

Silvia Bonacina, Stephanie Huang, Travis White-Schwoch, Jennifer Krizman, Trent Nicol, Nina Kraus

Abstract read
In one paragraph

Article in NPJ science of learning, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

6 authors.

Silvia BonacinaAuditory Neuroscience Laboratory, Northwestern University, Evanston, IL, USA.
Stephanie HuangAuditory Neuroscience Laboratory, Northwestern University, Evanston, IL, USA.
Travis White-SchwochAuditory Neuroscience Laboratory, Northwestern University, Evanston, IL, USA.
Jennifer KrizmanAuditory Neuroscience Laboratory, Northwestern University, Evanston, IL, USA.
Trent NicolAuditory Neuroscience Laboratory, Northwestern University, Evanston, IL, USA.
Nina KrausAuditory Neuroscience Laboratory, Northwestern University, Evanston, IL, USA. nkraus@northwestern.edu.

Funding

A preschool biomarker for literacyR01HD069414 · NICHD · NORTHWESTERN UNIVERSITY · PI KRAUS, NINA · 2012 to 2016
$1.8M
Hearing in noise in early childhood: neurophysiological, cognitive, and linguistic mechanismsF31DC016205 · NIDCD · NORTHWESTERN UNIVERSITY · PI THOMPSON, ELAINE CHESHIRE · 2017 to 2018
$57k
National Science Foundation (NSF) 1430400NICHD NIH HHS R01 HD069414NIDCD NIH HHS F31 DC016205
6 · The paper itself

Abstract

A child's success in school relies on their ability to quickly grasp language and reading skills, the foundations of which are acquired even before entering a formal classroom setting. Previous studies in preschoolers have begun to establish relationships linking beat synchronization, preliteracy skills, and auditory processing. Beat synchronization involves the integration of sensorimotor systems with auditory and cognitive circuits and, therefore calls on many of the same neural networks as language. Using a drumming task, we analyzed the relationship between children's ability to maintain an isochronous beat with preliteracy skills and frequency following responses (FFRs) in over 150 preschoolers. We show that preschoolers who performed well on the beat synchronization task outscored their peers on all preliteracy measures and had more robust FFRs. Furthermore, the good synchronizers experienced less degradation of certain FFR measures when listening in noise. Together, our results are consistent with the view that rhythm, preliteracy, and auditory processing are interconnected during early childhood.

Identifiers

PMID34188057
PMCPMC8242059

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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.