Evidence map›Paper›PMID 39850978›Full record

ArticleTrends in hearing

Measuring Speech Discrimination Ability in Sleeping Infants Using fNIRS-A Proof of Principle.

Onn Wah Lee, Demi Gao, Tommy Peng, Julia Wunderlich, Darren Mao, Gautam Balasubramanian, Colette M McKay

Abstract read
In one paragraph

Article in Trends in hearing. 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

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

3 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

7 authors.

Onn Wah LeeBionics Institute, East Melbourne, VIC, Australia.
Demi GaoBionics Institute, East Melbourne, VIC, Australia.
Tommy PengBionics Institute, East Melbourne, VIC, Australia.
Julia WunderlichBionics Institute, East Melbourne, VIC, Australia.ORCID 0000-0002-8339-5030
Darren MaoBionics Institute, East Melbourne, VIC, Australia.
Gautam BalasubramanianBionics Institute, East Melbourne, VIC, Australia.
Colette M McKayBionics Institute, East Melbourne, VIC, Australia.ORCID 0000-0002-1659-9789

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study used functional near-infrared spectroscopy (fNIRS) to measure aspects of the speech discrimination ability of sleeping infants. We examined the morphology of the fNIRS response to three different speech contrasts, namely "Tea/Ba," "Bee/Ba," and "Ga/Ba." Sixteen infants aged between 3 and 13 months old were included in this study and their fNIRS data were recorded during natural sleep. The stimuli were presented using a nonsilence baseline paradigm, where repeated standard stimuli were presented between the novel stimuli blocks without any silence periods. The morphology of fNIRS responses varied between speech contrasts. The data were fit with a model in which the responses were the sum of two independent and concurrent response mechanisms that were derived from previously published fNIRS detection responses. These independent components were an oxyhemoglobin (HbO)-positive early-latency response and an HbO-negative late latency response, hypothesized to be related to an auditory canonical response and a brain arousal response, respectively. The goodness of fit of the model with the data was high with median goodness of fit of 81%. The data showed that both response components had later latency when the left ear was the test ear (

Indexed as

Brain MappingDiscrimination, PsychologicalSleepSpeech PerceptionAcoustic StimulationFemaleHumansInfantMaleOxyhemoglobinsProof of Concept StudySpectroscopy, Near-InfraredOxyhemoglobinsarousalfNIRSinfantsleepspeech discrimination

Identifiers

PMID39850978
PMCPMC11758514

What OpenQuestion holds

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LicenceCC BY-NC
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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.