Evidence map›Paper›PMID 42265564›Full record

ArticleThe European journal of neuroscience2026

Within- and Between-Channel Gaps Elicit Mismatch Negativity in the Aging Brain.

Victoria Duda, Sayeed Devraj-Kizuk, Erica Ogier

Abstract read
In one paragraph

Article in The European journal of neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Victoria DudaSchool of Speech Pathology and Audiology, Université de Montréal, Montreal, Canada.ORCID 0000-0002-2593-7655
Sayeed Devraj-KizukSchool of Speech Pathology and Audiology, Université de Montréal, Montreal, Canada.
Erica OgierSchool of Speech Pathology and Audiology, Université de Montréal, Montreal, Canada.

Funding

Natural Sciences and Engineering Research Council of Canada (NSERC) RGPIN-2022-04390
6 · The paper itself

Abstract

This study examined how older and younger adults process silent gaps in auditory stimuli by recording cortical evoked potentials using a multi-deviant paradigm that is compared to a psychophysical gap detection task. Participants passively listened to pairs of noise markers separated by silent intervals. Markers were either spectrally identical (within-channel) or spectrally distinct (between-channel) narrowband noises. Seven gap durations served as deviants in a multi-deviant sequence. The deviance-related negativity (DRN) and the P2/P3a were recorded from fronto-central electrodes. Thirty-two participants with normal hearing or minimal hearing loss participated in this study. They were separated into an older adult (mean age = 63 years) and younger adult (mean age = 24 years) group. Gapped deviants elicited DRN in both within- and between-channel conditions. Age effects emerged in the DRN and peak-to-peak DRN-P2/P3a measure. Older adults showed longer DRN latencies and reduced amplitudes compared to the younger group. Condition effects showed contrasting DRN latency patterns between groups. P2/P3a responses alone did not show any condition or age-specific effects. Behavioral gap detection thresholds did not differ across conditions in older adults. Overall, results demonstrate that electrophysiological indices reveal subtle neural alterations in temporal resolution that may precede behavioral decline.

Indexed as

AgingAuditory PerceptionBrainEvoked Potentials, AuditoryAcoustic StimulationAdultAgedElectroencephalographyFemaleHumansMaleMiddle AgedYoung Adultevent‐related potentialsgap detectionmismatch negativitytemporal processing

Identifiers

PMID42265564
PMCPMC13250239

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.