Evidence map›Paper›PMID 39154048›Full record

ArticleScientific reports2024

Neural encoding of linguistic speech cues is unaffected by cognitive decline, but decreases with increasing hearing impairment.

Elena Bolt, Nathalie Giroud

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Reduced neural speech tracking in adolescents with listening difficulty.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026
    Article
  2. Article
  3. 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

2 authors.

Elena BoltComputational Neuroscience of Speech and Hearing, Department of Computational Linguistics, University of Zurich, 8050, Zurich, Switzerland. elena.bolt.uzh@gmail.com.
Nathalie GiroudComputational Neuroscience of Speech and Hearing, Department of Computational Linguistics, University of Zurich, 8050, Zurich, Switzerland.

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung PR00P1_185715
6 · The paper itself

Abstract

The multivariate temporal response function (mTRF) is an effective tool for investigating the neural encoding of acoustic and complex linguistic features in natural continuous speech. In this study, we investigated how neural representations of speech features derived from natural stimuli are related to early signs of cognitive decline in older adults, taking into account the effects of hearing. Participants without (

Indexed as

Cognitive DysfunctionElectroencephalographyHearing LossSpeech PerceptionAcoustic StimulationAgedAged, 80 and overCuesFemaleHumansLinguisticsMaleMiddle AgedSpeechAuditory speech processingCognitive declineElectroencephalographyLinguistic speech processingNatural continuous speechTemporal response function

Identifiers

PMID39154048
PMCPMC11330478

What OpenQuestion holds

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LicenceCC BY
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.