Evidence map›Paper›PMID 36329058›Full record

ArticleNature communications2022

Neural dynamics of phoneme sequences reveal position-invariant code for content and order.

Laura Gwilliams, Jean-Remi King, Alec Marantz, David Poeppel

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Temporally structured motor and auditory representations in covert syllable production.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  6. Review
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  9. The Spatio-Temporal Dynamics of Phoneme Encoding in Aging and Aphasia.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  10. Invariant correlation: a general and straightforward method to quantify invariance in time-varying neural signals.Proceedings of the ... Conference on Cognitive Computational Neuroscience · 2026
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  16. Hierarchical dynamic coding coordinates speech comprehension in the human brain.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  17. Article
  18. Such sweet thunder.Second language research · 2025
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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

4 authors.

Laura GwilliamsDepartment of Neurological Surgery, University of California, San Francisco, USA. leg5@nyu.edu.ORCID 0000-0002-9213-588X
Jean-Remi KingDepartment of Psychology, New York University, New York, USA.ORCID 0000-0002-2121-170X
Alec Marantz *Department of Psychology, New York University, New York, USA.
David Poeppel *Department of Psychology, New York University, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Speech consists of a continuously-varying acoustic signal. Yet human listeners experience it as sequences of discrete speech sounds, which are used to recognise discrete words. To examine how the human brain appropriately sequences the speech signal, we recorded two-hour magnetoencephalograms from 21 participants listening to short narratives. Our analyses show that the brain continuously encodes the three most recently heard speech sounds in parallel, and maintains this information long past its dissipation from the sensory input. Each speech sound representation evolves over time, jointly encoding both its phonetic features and the amount of time elapsed since onset. As a result, this dynamic neural pattern encodes both the relative order and phonetic content of the speech sequence. These representations are active earlier when phonemes are more predictable, and are sustained longer when lexical identity is uncertain. Our results show how phonetic sequences in natural speech are represented at the level of populations of neurons, providing insight into what intermediary representations exist between the sensory input and sub-lexical units. The flexibility in the dynamics of these representations paves the way for further understanding of how such sequences may be used to interface with higher order structure such as lexical identity.

Indexed as

Speech PerceptionAuditory PerceptionBrain MappingHumansPhoneticsSpeech

Identifiers

PMID36329058
PMCPMC9633780

What OpenQuestion holds

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LicenceCC BY
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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.