Evidence map›Paper›PMID 40126439›Full record

ArticleJournal of deaf studies and deaf education2025

Emotion recognition in deaf individuals: evidence from event-related potentials.

Sun-Mee Kang, Lily S Apar, Richard Hurtado

Abstract read
In one paragraph

Article in Journal of deaf studies and deaf education, 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

3 authors.

Sun-Mee KangDepartment of Psychology, California State University at Northridge, CA 91330-8255, United States.ORCID 0000-0003-4886-4628
Lily S AparDepartment of Psychology, California State University at Northridge, CA 91330-8255, United States.
Richard HurtadoDepartment of Psychology, California State University at Northridge, CA 91330-8255, United States.

Funding

U-RISE Training the Next Generation of Basic Biomedical Researchers A Holistic ApproachT34GM136450 · NIGMS · CALIFORNIA STATE UNIVERSITY NORTHRIDGE · PI HOGUE, CHERYL, HONG, RAY L · 2021 to 2025
$3.0M
National Institute of Health GM136450NIGMS NIH HHS T34 GM136450
6 · The paper itself

Abstract

Previous studies have found that deaf signers exhibited lower accuracy when recognizing emotional expressions from top-half faces compared to hearing non-signers. This suggests that the lack of emotional information from the oral region has a greater impact on deaf signers due to differences in their gaze patterns. The current study aimed to replicate and extend these findings by measuring recognition accuracy under varied facial conditions and analyzing late positive potential (LPP) amplitudes. Based on previous research, it was hypothesized that deaf signers would show reduced recognition accuracy and lower LPP amplitude compared to hearing non-signers in a top-half face condition. To test these hypotheses, 22 deaf signers and 37 hearing non-signers made emotion judgments of faces presented as intact wholes or isolated top or bottom halves, while event-related potentials were recorded. The results supported the main hypotheses, showing that the deaf signers exhibited lower recognition accuracy and reduced LPP amplitudes in the top-half face condition compared to hearing non-signers. These findings were discussed in terms of the challenges deaf signers faced during the COVID-19 pandemic, particularly in contexts where facial masks obscured the mouth.

Indexed as

DeafnessEmotionsEvoked PotentialsFacial RecognitionPersons with Hearing DisabilitiesRecognition, PsychologySign LanguageAdultCOVID-19Facial ExpressionFemaleHumansMaleMiddle AgedYoung Adult

Identifiers

PMID40126439
PMCPMC12191635

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.