Evidence map›Paper›PMID 28626013›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2017

Sleep Disrupts High-Level Speech Parsing Despite Significant Basic Auditory Processing.

Shiri Makov, Omer Sharon, Nai Ding, Michal Ben-Shachar, Yuval Nir, Elana Zion Golumbic

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
4.3field-weighted citation impact, top 5% of its field
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

38 citing papers in PubMed, 109 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Cortex-specific inversion of visual responses during sleep.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Sleep State Influences Early Sound Encoding at Cortical But Not Subcortical Levels.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  7. Clinical Diagnostic and Prognostic Value of Residual Language Learning Ability in Patients with Disorders of Consciousness.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Article
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  13. Article
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  17. Review
  18. Dynamics of Functional Networks for Syllable and Word-Level Processing.Neurobiology of language (Cambridge, Mass.) · 2023
    Article
  19. Article
  20. 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

6 authors at 3 institutions in 4 countries.

Shiri MakovSagol School of Neuroscience, Tel Aviv University, Tel Aviv 69978, Israel.
Omer SharonSagol School of Neuroscience, Tel Aviv University, Tel Aviv 69978, Israel.
Nai DingCollege of Biomedical Engineering and Instrument Sciences, Zhejiang University, Hangzhou 310027, China.
Michal Ben-ShacharThe Gonda Center for Multidisciplinary Brain Research, and.
Yuval NirSagol School of Neuroscience, Tel Aviv University, Tel Aviv 69978, Israel, elana.zion-golumbic@biu.ac.il ynir@post.tau.ac.il.ORCID 0000-0002-5433-6349
Elana Zion GolumbicThe Gonda Center for Multidisciplinary Brain Research, and elana.zion-golumbic@biu.ac.il ynir@post.tau.ac.il.ORCID 0000-0002-8831-3188
Tel Aviv University · ILBar-Ilan University · ILZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The extent to which the sleeping brain processes sensory information remains unclear. This is particularly true for continuous and complex stimuli such as speech, in which information is organized into hierarchically embedded structures. Recently, novel metrics for assessing the neural representation of continuous speech have been developed using noninvasive brain recordings that have thus far only been tested during wakefulness. Here we investigated, for the first time, the sleeping brain's capacity to process continuous speech at different hierarchical levels using a newly developed Concurrent Hierarchical Tracking (CHT) approach that allows monitoring the neural representation and processing-depth of continuous speech online. Speech sequences were compiled with syllables, words, phrases, and sentences occurring at fixed time intervals such that different linguistic levels correspond to distinct frequencies. This enabled us to distinguish their neural signatures in brain activity. We compared the neural tracking of intelligible versus unintelligible (scrambled and foreign) speech across states of wakefulness and sleep using high-density EEG in humans. We found that neural tracking of stimulus acoustics was comparable across wakefulness and sleep and similar across all conditions regardless of speech intelligibility. In contrast, neural tracking of higher-order linguistic constructs (words, phrases, and sentences) was only observed for intelligible speech during wakefulness and could not be detected at all during nonrapid eye movement or rapid eye movement sleep. These results suggest that, whereas low-level auditory processing is relatively preserved during sleep, higher-level hierarchical linguistic parsing is severely disrupted, thereby revealing the capacity and limits of language processing during sleep.

Indexed as

Acoustic StimulationAdultAuditory CortexElectroencephalographyEvoked Potentials, AuditoryFemaleHumansMaleSleepSleep StagesSpeech IntelligibilitySpeech PerceptionWakefulnessYoung Adultattentionentrainmentsleepspeech processing

Identifiers

PMID28626013
PMCPMC6596654
OpenAlexW2624979671

What OpenQuestion holds

Textmetadata
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.