Evidence map›Paper›PMID 34534211›Full record

ArticlePLoS computational biology2021

Envelope reconstruction of speech and music highlights stronger tracking of speech at low frequencies.

Nathaniel J Zuk, Jeremy W Murphy, Richard B Reilly, Edmund C Lalor

Abstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Impaired Cortical Tracking of Speech in Children with Developmental Language Disorder.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Neural decoding of music from the EEG.Scientific reports · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. 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

4 authors.

Nathaniel J ZukDepartment of Electronic & Electrical Engineering, Trinity College, The University of Dublin, Dublin, Ireland.ORCID 0000-0002-2466-6718
Jeremy W MurphyDepartment of Electronic & Electrical Engineering, Trinity College, The University of Dublin, Dublin, Ireland.ORCID 0000-0001-5595-8548
Richard B ReillyDepartment of Mechanical, Manufacturing & Biomedical Engineering, Trinity College, The University of Dublin, Dublin, Ireland.
Edmund C LalorDepartment of Electronic & Electrical Engineering, Trinity College, The University of Dublin, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human brain tracks amplitude fluctuations of both speech and music, which reflects acoustic processing in addition to the encoding of higher-order features and one's cognitive state. Comparing neural tracking of speech and music envelopes can elucidate stimulus-general mechanisms, but direct comparisons are confounded by differences in their envelope spectra. Here, we use a novel method of frequency-constrained reconstruction of stimulus envelopes using EEG recorded during passive listening. We expected to see music reconstruction match speech in a narrow range of frequencies, but instead we found that speech was reconstructed better than music for all frequencies we examined. Additionally, models trained on all stimulus types performed as well or better than the stimulus-specific models at higher modulation frequencies, suggesting a common neural mechanism for tracking speech and music. However, speech envelope tracking at low frequencies, below 1 Hz, was associated with increased weighting over parietal channels, which was not present for the other stimuli. Our results highlight the importance of low-frequency speech tracking and suggest an origin from speech-specific processing in the brain.

Indexed as

MusicAcoustic StimulationAdolescentAdultAuditory PerceptionBrainComputational BiologyComputer SimulationElectroencephalographyFemaleHumansLinear ModelsMaleModels, NeurologicalPrincipal Component AnalysisSpeech

Identifiers

PMID34534211
PMCPMC8480853

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.