Evidence map›Paper›PMID 31872860›Full record

ArticleSleep2020

Examining the optimal timing for closed-loop auditory stimulation of slow-wave sleep in young and older adults.

Miguel Navarrete, Jules Schneider, Hong-Viet V Ngo, Mario Valderrama, Alexander J Casson, Penelope A Lewis

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Sleep, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05746299 (The Emergence of Abstract Structure Knowledge Across Learning and Sleep), which is not on this map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.7field-weighted citation impact, top 4% 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.

NCT05746299 nacompletednot on this mapstarted 2023, after this paper: background citation

The Emergence of Abstract Structure Knowledge Across Learning and Sleep

TypeinterventionalSponsorUniversity of PennsylvaniaRan2023 to 2024Enrolled194ConditionsMemory ConsolidationArmsCongruent vs. Incongruent, Immediate vs. Awake vs. Asleep, Targeted memory reactivation (TMR)
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 78 citations in OpenAlex.

  1. Article
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  11. Slow Oscillation-Spindle Coupling Predicts Sequence-Based Language Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  12. Review
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  15. Unraveling the potential of acoustic stimulation to enhance slow-wave sleep in Alzheimer's disease: implications and pathways forward.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024
    Article
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  20. MorpheusNet: Resource efficient sleep stage classifier for embedded on-line systems.Conference proceedings. IEEE International Conference on Systems, Man, and Cybernetics · 2023
    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 4 institutions in 2 countries.

Miguel NavarreteCardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
Jules SchneiderSchool of Biological Sciences, University of Manchester, Manchester, UK.
Hong-Viet V NgoSchool of Psychology, University of Birmingham, Edgbaston, Birmingham, UK.
Mario ValderramaDepartment of Biomedical Engineering, University of Los Andes, Bogotá, Colombia.
Alexander J CassonSchool of Electrical and Electronic Engineering, University of Manchester, Manchester, UK.
Penelope A LewisCardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
Cardiff University · GBUniversity of Manchester · GBUniversidad de Los Andes · COUniversity of Birmingham · GB

Funding

Wellcome Trust 105610/Z/14/Z
6 · The paper itself

Abstract

STUDY

objectivesClosed-loop auditory stimulation (CLAS) is a method for enhancing slow oscillations (SOs) through the presentation of auditory clicks during sleep. CLAS boosts SOs amplitude and sleep spindle power, but the optimal timing for click delivery remains unclear. Here, we determine the optimal time to present auditory clicks to maximize the enhancement of SO amplitude and spindle likelihood.

methodsWe examined the main factors predicting SO amplitude and sleep spindles in a dataset of 21 young and 17 older subjects. The participants received CLAS during slow-wave-sleep in two experimental conditions: sham and auditory stimulation. Post-stimulus SOs and spindles were evaluated according to the click phase on the SOs and compared between and within conditions.

resultsWe revealed that auditory clicks applied anywhere on the positive portion of the SO increased SO amplitudes and spindle likelihood, although the interval of opportunity was shorter in the older group. For both groups, analyses showed that the optimal timing for click delivery is close to the SO peak phase. Click phase on the SO wave was the main factor determining the impact of auditory stimulation on spindle likelihood for young subjects, whereas for older participants, the temporal lag since the last spindle was a better predictor of spindle likelihood.

conclusionsOur data suggest that CLAS can more effectively boost SOs during specific phase windows, and these differ between young and older participants. It is possible that this is due to the fluctuation of sensory inputs modulated by the thalamocortical networks during the SO.

Indexed as

Sleep, Slow-WaveAcoustic StimulationAgedElectroencephalographyHumansSleepYoung Adultageclosed-loop auditory stimulationmemorysleepslow oscillation

Identifiers

PMID31872860
PMCPMC7294407
OpenAlexW2997531317

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.