Evidence map›Paper›PMID 41428364›Full record

ArticleJournal of neurophysiology2026

Brainstem encoding of speech in the extended high frequencies and its behavioral correlates.

Sajana Aryal, Fan-Yin Cheng, Srikanta K Mishra, Spencer Smith

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2026. 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
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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

4 authors.

Sajana AryalDepartment of Speech, Language, and Hearing Sciences, University of Texas at Austin, Austin, Texas, United States.ORCID 0000-0002-3589-5938
Fan-Yin ChengDepartment of Speech, Language, and Hearing Sciences, University of Texas at Austin, Austin, Texas, United States.ORCID 0000-0001-6234-0578
Srikanta K MishraDepartment of Speech, Language, and Hearing Sciences, University of Texas at Austin, Austin, Texas, United States.
Spencer SmithDepartment of Speech, Language, and Hearing Sciences, University of Texas at Austin, Austin, Texas, United States.ORCID 0000-0003-3402-5698

Funding

Efferent Auditory Measurements during Continuous Attended Speech in Normal Hearing Listeners With and Without Speech-in-Noise DeficitsR21DC020562 · NIDCD · UNIVERSITY OF TEXAS AT AUSTIN · PI SMITH, SPENCER · 2022 to 2024
$726k
HHS | NIH | National Institute on Deafness and Other Communication Disorders (NIDCD) R21DC020562NIDCD NIH HHS R21 DC020562
6 · The paper itself

Abstract

Whether the auditory nervous system can extract and use speech information carried in the extended high-frequency (EHF; >8 kHz) range is an unresolved question in auditory neuroscience. Although EHF sensitivity is increasingly recognized as important for speech perception, it is unclear whether EHF hearing is directly or indirectly involved in real-world listening. This study examined brainstem neural encoding of EHF speech components and the relationship between EHF hearing sensitivity and both neural and perceptual speech processing. Envelope following responses (EFRs) to broadband and high-pass filtered (>4 kHz and >8 kHz) speech stimuli, along with digits-in-noise speech recognition thresholds under various masking conditions (broadband, <2 kHz, <4 kHz, <8 kHz), were measured in 47 normal-hearing adults. Our findings suggest that the auditory brainstem can phase-lock to temporal speech features carried in the EHF region (

Indexed as

Brain StemEvoked Potentials, Auditory, Brain StemSpeech PerceptionAdultAuditory ThresholdFemaleHumansMalePerceptual MaskingYoung Adultbrainstem encodingenvelope following responseextended high frequency hearingspeech in noisespeech recognition threshold

Identifiers

PMID41428364
PMCPMC13020771

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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.