Evidence map›Paper›PMID 37409105›Full record

ArticleFrontiers in neuroscience2023

Dynamic networks differentiate the language ability of children with cochlear implants.

Nabin Koirala, Mickael L D Deroche, Jace Wolfe, Sara Neumann, Alexander G Bien, Derek Doan, Michael Goldbeck, Muthuraman Muthuraman, Vincent L Gracco

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

9 authors.

Nabin KoiralaChild Study Center, Yale School of Medicine, Yale University, New Haven, CT, United States.
Mickael L D DerocheDepartment of Psychology, Concordia University, Montreal, QC, Canada.
Jace WolfeHearts for Hearing Foundation, Oklahoma City, OK, United States.
Sara NeumannHearts for Hearing Foundation, Oklahoma City, OK, United States.
Alexander G BienDepartment of Otolaryngology - Head and Neck Surgery, University of Oklahoma Medical Center, Oklahoma City, OK, United States.
Derek DoanUniversity of Oklahoma College of Medicine, Oklahoma City, OK, United States.
Michael GoldbeckUniversity of Oklahoma College of Medicine, Oklahoma City, OK, United States.
Muthuraman Muthuraman *Department of Neurology, Neural Engineering with Signal Analytics and Artificial Intelligence (NESA-AI), Universitätsklinikum Würzburg, Würzburg, Germany.
Vincent L Gracco *Child Study Center, Yale School of Medicine, Yale University, New Haven, CT, United States.

Funding

Tracking neurocognitive changes during evidence-based reading instruction in typically and atypically developing childrenR37HD090153 · NICHD · UNIVERSITY OF CONNECTICUT STORRS · PI Kenneth R. Pugh · 2017 to 2026
$6.0M
NICHD NIH HHS R37 HD090153
6 · The paper itself

Abstract

Background: Cochlear implantation (CI) in prelingually deafened children has been shown to be an effective intervention for developing language and reading skill. However, there is a substantial proportion of the children receiving CI who struggle with language and reading. The current study-one of the first to implement electrical source imaging in CI population was designed to identify the neural underpinnings in two groups of CI children with good and poor language and reading skill. Methods: Data using high density electroencephalography (EEG) under a resting state condition was obtained from 75 children, 50 with CIs having good (HL) or poor language skills (LL) and 25 normal hearing (NH) children. We identified coherent sources using dynamic imaging of coherent sources (DICS) and their effective connectivity computing time-frequency causality estimation based on temporal partial directed coherence (TPDC) in the two CI groups compared to a cohort of age and gender matched NH children. Findings: Sources with higher coherence amplitude were observed in three frequency bands (alpha, beta and gamma) for the CI groups when compared to normal hearing children. The two groups of CI children with good (HL) and poor (LL) language ability exhibited not only different cortical and subcortical source profiles but also distinct effective connectivity between them. Additionally, a support vector machine (SVM) algorithm using these sources and their connectivity patterns for each CI group across the three frequency bands was able to predict the language and reading scores with high accuracy. Interpretation: Increased coherence in the CI groups suggest overall that the oscillatory activity in some brain areas become more strongly coupled compared to the NH group. Moreover, the different sources and their connectivity patterns and their association to language and reading skill in both groups, suggest a compensatory adaptation that either facilitated or impeded language and reading development. The neural differences in the two groups of CI children may reflect potential biomarkers for predicting outcome success in CI children.

Indexed as

age of interventioncochlear implantelectrical source imaging (ESI)electroencephalography (EEG)language and reading

Identifiers

PMID37409105
PMCPMC10318154

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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.