Evidence map›Paper›PMID 40800317›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2024

Neural processing of rhythmic speech by children with developmental language disorder (DLD): An EEG study.

Mahmoud Keshavarzi, Susan Richards, Georgia Feltham, Lyla Parvez, Usha Goswami

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 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

5 authors.

Mahmoud KeshavarziCentre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge, United Kingdom.
Susan RichardsCentre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge, United Kingdom.
Georgia FelthamCentre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge, United Kingdom.
Lyla ParvezCentre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge, United Kingdom.
Usha GoswamiCentre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sensitivity to rhythmic and prosodic cues in speech has been described as a precursor of language acquisition. Consequently, atypical rhythmic processing during infancy and early childhood has been considered a risk factor for developmental language disorders. Despite many behavioural studies, the neural processing of rhythmic speech has not yet been explored in children with developmental language disorder (DLD). Here, we utilise EEG to investigate the neural processing of rhythmic speech by 9-year-old children with and without DLD. In the current study, we investigate phase entrainment, angular velocity, power, event related potentials (ERPs), phase-amplitude coupling (PAC), and phase-phase coupling (PPC) at three frequency bands selected on the basis of the prior literature, delta, theta, and low gamma. We predicted a different phase of entrainment in the delta band in children with DLD, and also greater theta power, atypical cross-frequency coupling, and possibly atypical gamma-band responses. Contrary to prediction, children with DLD demonstrated significant and equivalent phase entrainment in the delta and theta bands to control children. However, only the control children showed significant phase entrainment in the low gamma band. The children with DLD also exhibited significantly more theta and low gamma power compared to the control children, and there was a significant gamma-band difference in angular velocity between the two groups. Finally, group resultant phase analyses showed that low-frequency phase (delta and theta) affected gamma oscillations differently by group. These EEG data show important differences between children with and without DLD in the neural mechanisms underpinning the processing of rhythmic speech. The findings are discussed in terms of auditory theories of DLD, particularly Temporal Sampling theory.

Indexed as

atypical rhythm riskdevelopmental language disorderEEGneural phase entrainmentrhythmic audio-visual speechtemporal sampling theory

Identifiers

PMID40800317
PMCPMC12315765

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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.