Evidence map›Paper›PMID 32103014›Full record

ArticleNature communications2020

Natural rhythms of periodic temporal attention.

Arnaud Zalta, Spase Petkoski, Benjamin Morillon

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
–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

44 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
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  5. Article
  6. Sensory integration, temporal prediction, and rule discovery reflect interdependent inference processes.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Review
  8. Review
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  12. Musical neurodynamics.Nature reviews. Neuroscience · 2025
    Review
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  14. Article
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  17. Article
  18. Article
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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

3 authors.

Arnaud ZaltaInserm, INS, Inst Neurosci Syst, Aix Marseille University, 13005, Marseille, France.ORCID http://orcid.org/0000-0002-4918-6630
Spase PetkoskiInserm, INS, Inst Neurosci Syst, Aix Marseille University, 13005, Marseille, France.ORCID http://orcid.org/0000-0003-4540-6293
Benjamin MorillonInserm, INS, Inst Neurosci Syst, Aix Marseille University, 13005, Marseille, France. bnmorillon@gmail.com.ORCID http://orcid.org/0000-0002-0049-064X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

That attention is a fundamentally rhythmic process has recently received abundant empirical evidence. The essence of temporal attention, however, is to flexibly focus in time. Whether this function is constrained by an underlying rhythmic neural mechanism is unknown. In six interrelated experiments, we behaviourally quantify the sampling capacities of periodic temporal attention during auditory or visual perception. We reveal the presence of limited attentional capacities, with an optimal sampling rate of ~1.4 Hz in audition and ~0.7 Hz in vision. Investigating the motor contribution to temporal attention, we show that it scales with motor rhythmic precision, maximal at ~1.7 Hz. Critically, motor modulation is beneficial to auditory but detrimental to visual temporal attention. These results are captured by a computational model of coupled oscillators, that reveals the underlying structural constraints governing the temporal alignment between motor and attention fluctuations.

Indexed as

PeriodicityAcoustic StimulationAdolescentAdultAttentionAuditory PerceptionFemaleHumansMalePhotic StimulationTime FactorsVisual PerceptionYoung Adult

Identifiers

PMID32103014
PMCPMC7044316

What OpenQuestion holds

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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.