Evidence map›Paper›PMID 39025957›Full record

ArticleScientific reports2024

Structural and sequential regularities modulate phrase-rate neural tracking.

Junyuan Zhao, Andrea E Martin, Cas W Coopmans

Abstract read
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

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Decoding the Neural Dynamics of Headed Syntactic Structure Building.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    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

3 authors.

Junyuan ZhaoDepartment of Linguistics, University of Michigan, Ann Arbor, MI, USA.
Andrea E MartinMax Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
Cas W CoopmansMax Planck Institute for Psycholinguistics, Nijmegen, The Netherlands. Cas.Coopmans@mpi.nl.

Funding

Max Planck Instituut voor Psycholinguïstiek Lise Meitner Research Group "Language and Computation in Neural Systems"Nederlandse Organisatie voor Wetenschappelijk Onderzoek 016.Vidi.188.029Nederlandse Organisatie voor Wetenschappelijk Onderzoek 024.001.006
6 · The paper itself

Abstract

Electrophysiological brain activity has been shown to synchronize with the quasi-regular repetition of grammatical phrases in connected speech-so-called phrase-rate neural tracking. Current debate centers around whether this phenomenon is best explained in terms of the syntactic properties of phrases or in terms of syntax-external information, such as the sequential repetition of parts of speech. As these two factors were confounded in previous studies, much of the literature is compatible with both accounts. Here, we used electroencephalography (EEG) to determine if and when the brain is sensitive to both types of information. Twenty native speakers of Mandarin Chinese listened to isochronously presented streams of monosyllabic words, which contained either grammatical two-word phrases (e.g., catch fish, sell house) or non-grammatical word combinations (e.g., full lend, bread far). Within the grammatical conditions, we varied two structural factors: the position of the head of each phrase and the type of attachment. Within the non-grammatical conditions, we varied the consistency with which parts of speech were repeated. Tracking was quantified through evoked power and inter-trial phase coherence, both derived from the frequency-domain representation of EEG responses. As expected, neural tracking at the phrase rate was stronger in grammatical sequences than in non-grammatical sequences without syntactic structure. Moreover, it was modulated by both attachment type and head position, revealing the structure-sensitivity of phrase-rate tracking. We additionally found that the brain tracks the repetition of parts of speech in non-grammatical sequences. These data provide an integrative perspective on the current debate about neural tracking effects, revealing that the brain utilizes regularities computed over multiple levels of linguistic representation in guiding rhythmic computation.

Indexed as

BrainElectroencephalographyAdultFemaleHumansLanguageMaleSpeechSpeech PerceptionYoung Adult

Identifiers

PMID39025957
PMCPMC11258220

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