Evidence map›Paper›PMID 35869626›Full record

ArticleSleep2022

Frontal grey matter microstructure is associated with sleep slow waves characteristics in late midlife.

Daphne Chylinski, Justinas Narbutas, Evelyne Balteau, Fabienne Collette, Christine Bastin, Christian Berthomier, Eric Salmon, Pierre Maquet, Julie Carrier, Christophe Phillips and 3 more

Abstract read
In one paragraph

Article in Sleep, 2022. 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Cerebral Gray Matter May Not Explain Sleep Slow-Wave Characteristics after Severe Brain Injury.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    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

13 authors.

Daphne ChylinskiGIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
Justinas NarbutasGIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
Evelyne BalteauGIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
Fabienne ColletteGIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
Christine BastinGIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
Christian BerthomierPhysip SA, Paris, France.
Eric SalmonGIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.ORCID 0000-0003-2520-9241
Pierre MaquetGIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
Julie CarrierCARSM, CIUSSS of Nord-de l'Île-de-Montréal, Montreal, Canada.
Christophe PhillipsGIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
Jean-Marc LinaCARSM, CIUSSS of Nord-de l'Île-de-Montréal, Montreal, Canada.
Gilles VandewalleGIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.ORCID 0000-0003-2483-2752
Maxime Van EgrooGIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.

Funding

CIHR 190750
6 · The paper itself

Abstract

STUDY

objectivesThe ability to generate slow waves (SW) during non-rapid eye movement (NREM) sleep decreases as early as the 5th decade of life, predominantly over frontal regions. This decrease may concern prominently SW characterized by a fast switch from hyperpolarized to depolarized, or down-to-up, state. Yet, the relationship between these fast and slow switcher SW and cerebral microstructure in ageing is not established.

methodsWe recorded habitual sleep under EEG in 99 healthy late midlife individuals (mean age = 59.3 ± 5.3 years; 68 women) and extracted SW parameters (density, amplitude, frequency) for all SW as well as according to their switcher type (slow vs. fast). We further used neurite orientation dispersion and density imaging (NODDI) to assess microstructural integrity over a frontal grey matter region of interest (ROI).

resultsIn statistical models adjusted for age, sex, and sleep duration, we found that a lower SW density, particularly for fast switcher SW, was associated with a reduced orientation dispersion of neurites in the frontal ROI (p = 0.018, R2β* = 0.06). In addition, overall SW frequency was positively associated with neurite density (p = 0.03, R2β* = 0.05). By contrast, we found no significant relationships between SW amplitude and NODDI metrics.

conclusionsOur findings suggest that the complexity of neurite organization contributes specifically to the rate of fast switcher SW occurrence in healthy middle-aged individuals, corroborating slow and fast switcher SW as distinct types of SW. They further suggest that the density of frontal neurites plays a key role for neural synchronization during sleep. TRIAL REGISTRATION NUMBER: EudraCT 2016-001436-35.

Indexed as

Gray MatterWhite MatterAgingBrainCerebral CortexFemaleHumansMiddle AgedNeuritesSleepageingbrain microstructurediffusion-weighted imagingfast switcher slow wavefrontal cortexneurite densityneurite orientation dispersionNODDIslow waves

Identifiers

PMID35869626
PMCPMC9644125

What OpenQuestion holds

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Registered trials

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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.