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

NODDI ageing brain microstructure diffusion-weighted imaging fast switcher slow wave frontal cortex neurite density neurite orientation dispersion slow waves

Journal

Sleep
ISSN: 1550-9109
Titre abrégé: Sleep
Pays: United States
ID NLM: 7809084

Informations de publication

Date de publication:
09 11 2022
Historique:
received: 24 03 2022
revised: 13 07 2022
pubmed: 24 7 2022
medline: 11 11 2022
entrez: 23 7 2022
Statut: ppublish

Résumé

The 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. We 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). In 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. Our 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. EudraCT 2016-001436-35.

Identifiants

pubmed: 35869626
pii: 6648906
doi: 10.1093/sleep/zsac178
pmc: PMC9644125
pii:
doi:

Banques de données

EudraCT
['2016-001436-35']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : CIHR
ID : 190750
Pays : Canada

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press on behalf of Sleep Research Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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Auteurs

Daphne Chylinski (D)

GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.

Justinas Narbutas (J)

GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium.

Evelyne Balteau (E)

GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.

Fabienne Collette (F)

GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium.

Christine Bastin (C)

GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium.

Christian Berthomier (C)

Physip SA, Paris, France.

Eric Salmon (E)

GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium.
Department of Neurology, University Hospital of Liège, Liège, Belgium.

Pierre Maquet (P)

GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
Department of Neurology, University Hospital of Liège, Liège, Belgium.

Julie Carrier (J)

CARSM, CIUSSS of Nord-de l'Île-de-Montréal, Montreal, Canada.
Department of Psychology, University of Montreal, Canada.

Christophe Phillips (C)

GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
GIGA-In Silico Medicine, University of Liège, Liège, Belgium.

Jean-Marc Lina (JM)

CARSM, CIUSSS of Nord-de l'Île-de-Montréal, Montreal, Canada.
Department of Psychology, University of Montreal, Canada.

Gilles Vandewalle (G)

GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.

Maxime Van Egroo (M)

GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.
Faculty of Health, Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands.

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