Evidence map›Paper›PMID 40934291›Full record

ArticlePloS one2025

EEG Sonification improves sleep staging performance in novice stagers.

Sam Chin, Nathan W Whitmore, Nathan Perry, Joe Paradiso, Pattie Maes

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sam ChinResponsive Environments Group, MIT Media Lab, Cambridge, Massachusetts, United States of America.
Nathan W WhitmoreFluid Interfaces Group, MIT Media Lab, Cambridge, Massachusetts, United States of America.ORCID 0000-0001-7624-2725
Nathan PerryResponsive Environments Group, MIT Media Lab, Cambridge, Massachusetts, United States of America.ORCID 0000-0002-4310-434X
Joe ParadisoResponsive Environments Group, MIT Media Lab, Cambridge, Massachusetts, United States of America.
Pattie MaesFluid Interfaces Group, MIT Media Lab, Cambridge, Massachusetts, United States of America.ORCID 0000-0002-7722-6038

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sleep staging is a critical tool used in research and clinical settings to evaluate and diagnose sleep conditions; however, sleep staging is labor intensive and may be challenging for inexperienced practitioners. We explored whether adding an auditory representation (sonification) of the EEG to a standard visual representation could improve sleep staging performance or reduce workload. This is the first study to investigate the effects of sonification on sleep staging performance. We performed a within-subjects study in which 40 participants completed an online sleep staging task with and without sonified EEG. EEG was sonified by minimal transformation in which the raw EEG signal was played as an audio signal. Contrary to our hypothesis, we found adding sonification did not result in improvements in accuracy, speed, or workload for the entire subject group. However, when we stratified participants by sleep staging experience, we found sonification improved accuracy for the least experienced participants. These findings suggest EEG sonification may be useful as a tool to enable novice sleep stagers to reach acceptable performance levels faster.

Indexed as

ElectroencephalographySleep StagesAdultFemaleHumansMaleYoung Adult

Identifiers

PMID40934291
PMCPMC12425293

What OpenQuestion holds

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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.