Evidence map›Paper›PMID 42311498›Full record

ArticleFrontiers in aging neuroscience2026

Neural frequency-tagging of syllables in naturalistic speech is sensitive to background noise and age-related hearing loss.

Stefan Elmer, Martin Meyer, Nathalie Giroud

Abstract read
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Article in Frontiers in aging neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Stefan ElmerDepartment of Computational Linguistics, University of Zurich, Zurich, Switzerland.
Martin MeyerDepartment of Comparative Language Science, University of Zurich, Zurich, Switzerland.
Nathalie GiroudDepartment of Computational Linguistics, University of Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Healthy aging is often accompanied by a loss of hearing sensitivity and a reduced ability to understand speech in both quiet and noisy environments. From a physiological perspective, neural oscillations are thought to fundamentally contribute to parse the speech signal into meaningful units and to extract linguistically relevant information at multiple hierarchical levels. Given that syllables are essential structural elements of the speech signal that recur with quasi-rhythmic periodicity and are firmly anchored in slow amplitude modulations of the acoustic envelope, we exploited the potential of frequency-tagging to examine effects of pure-tone hearing loss and background noise on syllable representation at the neural level. Methods: We used electroencephalography and compared peak amplitudes in a narrow-band frequency range corresponding to the syllabic speech rate in two samples of older adults with normal hearing ( Results: The behavioral indices confirmed that the multi-talker babble noise condition was more demanding, and that hearing loss was generally associated with reduced intelligibility, but not with lower comprehension. Notably, the effects of background noise and hearing loss were also clearly represented at the cortical level, with similar neural response properties. In fact, both acoustically and physiologically impoverished speech signals were expressed in a weaker neural representation of syllables. Discussion: These results provide neurophysiological evidence for an analogous but qualitatively different neural attenuation of syllable representation under adverse listening conditions and in individuals with pure-tone hearing loss.

Indexed as

agingEEGfast Fourier transformfrequency-taggingmulti-talker babble noisenaturalistic speechpure-tone hearing losssyllabic rate

Identifiers

PMID42311498
PMCPMC13269339

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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.