Literature DB >> 32929490

Are age and sex effects on sleep slow waves only a matter of electroencephalogram amplitude?

Thaïna Rosinvil1,2,3, Justin Bouvier1,2, Jonathan Dubé1,2,3, Alexandre Lafrenière1,2,3, Maude Bouchard1,2,3, Jessica Cyr-Cronier1, Nadia Gosselin1,2, Julie Carrier1,2,3, Jean-Marc Lina1,4,5.   

Abstract

Aging is associated with reduced slow wave (SW) density (number SW/min in nonrapid-eye movement sleep) and amplitude. It has been proposed that an age-related decrease in SW density may be due to a reduction in electroencephalogram (EEG) amplitude instead of a decline in the capacity to generate SW. Here, we propose a data-driven approach to adapt SW amplitude criteria to age and sex. We predicted that the adapted criteria would reduce age and sex differences in SW density and SW characteristics but would not abolish them. A total of 284 healthy younger and older adults participated in one night of sleep EEG recording. We defined age- and sex-adapted SW criteria in a first cohort of younger (n = 97) and older (n = 110) individuals using a signal-to-noise ratio approach. We then used these age- and sex-specific criteria in an independent second cohort (n = 77, 38 younger and 39 older adults) to evaluate age and sex differences on SW density and SW characteristics. After adapting SW amplitude criteria, we showed maintenance of an age-related difference for SW density whereas the sex-related difference vanished. Indeed, older adults produced less SW compared with younger adults. Specifically, the adapted SW amplitude criteria increased the probability of occurrence of low amplitude SW (<80 µV) for older men especially. Our results thereby confirm an age-related decline in SW generation rather than an artifact in the detection amplitude criteria. As for the SW characteristics, the age- and sex-adapted criteria display reproducible effects across the two independent cohorts suggesting a more reliable inventory of the SW. © Sleep Research Society 2020. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.

Entities:  

Keywords:  EEG; aging; nonrapid eye movement sleep; sex differences; sleep; slow oscillations; slow waves

Mesh:

Year:  2021        PMID: 32929490      PMCID: PMC7953219          DOI: 10.1093/sleep/zsaa186

Source DB:  PubMed          Journal:  Sleep        ISSN: 0161-8105            Impact factor:   5.849


  48 in total

1.  Periodic amplitude modulation of EEG.

Authors:  P Novak; V Lepicovska; C Dostalek
Journal:  Neurosci Lett       Date:  1992-03-02       Impact factor: 3.046

2.  Effect of age on the sleep EEG: slow-wave activity and spindle frequency activity in young and middle-aged men.

Authors:  H P Landolt; D J Dijk; P Achermann; A A Borbély
Journal:  Brain Res       Date:  1996-11-04       Impact factor: 3.252

3.  Regional slow waves and spindles in human sleep.

Authors:  Yuval Nir; Richard J Staba; Thomas Andrillon; Vladyslav V Vyazovskiy; Chiara Cirelli; Itzhak Fried; Giulio Tononi
Journal:  Neuron       Date:  2011-04-14       Impact factor: 17.173

4.  An inventory for measuring clinical anxiety: psychometric properties.

Authors:  A T Beck; N Epstein; G Brown; R A Steer
Journal:  J Consult Clin Psychol       Date:  1988-12

5.  Age and gender affect different characteristics of slow waves in the sleep EEG.

Authors:  M S Mourtazaev; B Kemp; A H Zwinderman; H A Kamphuisen
Journal:  Sleep       Date:  1995-09       Impact factor: 5.849

6.  Difference in sleep regulation between morning and evening circadian types as indexed by antero-posterior analyses of the sleep EEG.

Authors:  Valérie Mongrain; Julie Carrier; Marie Dumont
Journal:  Eur J Neurosci       Date:  2006-01       Impact factor: 3.386

Review 7.  Sleep in old age: focus on gender differences.

Authors:  M H Rediehs; J S Reis; N S Creason
Journal:  Sleep       Date:  1990-10       Impact factor: 5.849

8.  Sleep homeostasis and cortical synchronization: III. A high-density EEG study of sleep slow waves in humans.

Authors:  Brady A Riedner; Vladyslav V Vyazovskiy; Reto Huber; Marcello Massimini; Steve Esser; Michael Murphy; Giulio Tononi
Journal:  Sleep       Date:  2007-12       Impact factor: 5.849

9.  β-amyloid disrupts human NREM slow waves and related hippocampus-dependent memory consolidation.

Authors:  Bryce A Mander; Shawn M Marks; Jacob W Vogel; Vikram Rao; Brandon Lu; Jared M Saletin; Sonia Ancoli-Israel; William J Jagust; Matthew P Walker
Journal:  Nat Neurosci       Date:  2015-06-01       Impact factor: 24.884

Review 10.  Can Slow-Wave Sleep Enhancement Improve Memory? A Review of Current Approaches and Cognitive Outcomes.

Authors:  Yujie Zhang; Reut Gruber
Journal:  Yale J Biol Med       Date:  2019-03-25
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2.  Sleep EEG-Based Approach to Detect Mild Cognitive Impairment.

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Journal:  Front Aging Neurosci       Date:  2022-04-13       Impact factor: 5.702

3.  Sleep-dependent memory consolidation in breast cancer: Use of a virtual reality prospective memory task.

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Journal:  Front Neurosci       Date:  2022-09-07       Impact factor: 5.152

  3 in total

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