Evidence map›Paper›PMID 41292821›Full record

ArticlebioRxiv : the preprint server for biology2025

Neural recordings of continuous speech reveal robust signatures of prediction in second language learners of English.

Craig A Thorburn, I M Dushyanthi Karunathilake, London N Dixon, Ellen Lau, Jonathan Z Simon

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 authors.

Craig A ThorburnDepartment of Linguistics, University of Maryland.ORCID 0000-0003-2248-052X
I M Dushyanthi KarunathilakeDepartment of Electrical and Computer Engineering, University of Maryland.
London N DixonDepartment of Linguistics, University of Maryland.
Ellen LauDepartment of Linguistics, University of Maryland.
Jonathan Z SimonDepartment of Electrical and Computer Engineering, University of Maryland.ORCID 0000-0003-0858-0698

Funding

Multilevel Auditory Processing of Continuous Speech, from Acoustics to LanguageR01DC019394 · NIDCD · UNIV OF MARYLAND, COLLEGE PARK · PI SIMON, JONATHAN Z. · 2021 to 2025
$2.9M
NIDCD NIH HHS R01 DC019394
6 · The paper itself

Abstract

When listening to speech in their native language, speakers use prior context to anticipate upcoming phonemes, words, and concepts, integrating information at the sublexical, lexical, and sentence level. While it has been suggested that late second language learners do not predict to the same extent as native listeners, adequately evaluating this claim requires measurement of predictions at these multiple levels of representation simultaneously in natural speech. We recorded magnetoencephalography (MEG) responses from native Mandarin and Sinhala speakers listening to continuous narrative English speech. We used multivariate temporal response function (mTRF) analysis to investigate whether second language listeners demonstrate the same markers of prediction in neural data as native English speakers listening to the same stimuli. We demonstrate that late second language listeners exhibit strikingly similar responses to native speakers in sensitivity to phoneme surprisal and entropy with respect to sublexical, lexical, and sentence-level context. The few small response differences we observed appear most likely to arise from specific properties of the native languages, rather than general differences between native and second-language listening. These results provide evidence that late second-language listeners indeed leverage prediction in similar ways as native listeners in understanding continuous speech. This suggests that multivariate analyses of neural data from naturalistic listening may be vital in carefully evaluating the differences and similarities in speech prediction across populations.

Indexed as

Cognitive Neuroscience of LanguageMagnetoencephalographyPredictionSecond Language

Identifiers

PMID41292821
PMCPMC12642403

What OpenQuestion holds

Textmetadata
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.