Evidence map›Paper›PMID 42601223›Full record

ArticleeNeuro2026

Auditory Brainstem Encoding of Speech-in-Noise Predicts Word Identification, Narrative Comprehension, and Subjective Listening Effort in a Selective Attention Task.

Kelsey Mankel, Daniel C Comstock, Brett M Bormann, Soukhin Das, Doron Sagiv, Hilary Brodie, Lee M Miller

Abstract read
In one paragraph

Article in eNeuro, 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
–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

7 authors.

Kelsey MankelSchool of Communication Sciences and Disorders, University of Memphis, Memphis, Tennessee 38152 kmankel@memphis.edu.ORCID https://orcid.org/0000-0002-6953-4778
Daniel C ComstockCenter for Mind and Brain, University of California, Davis, Davis, California 95618.
Brett M BormannCenter for Mind and Brain, University of California, Davis, Davis, California 95618.
Soukhin DasCenter for Mind and Brain, University of California, Davis, Davis, California 95618.
Doron SagivDepartments of Otolaryngology|Head and Neck Surgery, University of California, Davis, Davis, California 95616.
Hilary BrodieDepartments of Otolaryngology|Head and Neck Surgery, University of California, Davis, Davis, California 95616.
Lee M MillerCenter for Mind and Brain, University of California, Davis, Davis, California 95618.ORCID https://orcid.org/0000-0001-5094-6724

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The auditory brainstem plays a crucial role in speech-in-noise (SiN) listening, refining numerous acoustic features such as pitch and spatial location under continual descending influence from the cortex. However, the difficulty of characterizing brainstem activity during continuous speech listening has obscured its functional role in ecologically valid contexts-not only the effects of selective attention on neural responses but also their impact on comprehension and listening effort. Here, we evaluated the role of the brainstem in SiN perception and other listening behaviors using a continuous, speech-based stimulus with embedded chirps (Cheech) that rapidly and effectively evoked auditory brainstem responses (ABRs) while 25 participants listened to short story narratives (

Indexed as

AttentionBrain StemComprehensionEvoked Potentials, Auditory, Brain StemNoiseSpeech PerceptionAcoustic StimulationAdultElectroencephalographyFemaleHumansMaleNarrationYoung Adultauditory brainstem response (ABR)auditory event-related potentials (ERPs)chirped speech (Cheech)electroencephalography (EEG)speech-in-noise

Identifiers

PMID42601223
PMCPMC13629154

What OpenQuestion holds

Textmetadata
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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.