Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2021 May;473(5):841-851.
doi: 10.1007/s00424-021-02545-y. Epub 2021 Apr 1.

Changes in sleep EEG with aging in humans and rodents

Affiliations
Review

Changes in sleep EEG with aging in humans and rodents

Diana Campos-Beltrán et al. Pflugers Arch. 2021 May.

Abstract

Sleep is one of the most ubiquitous but also complex animal behaviors. It is regulated at the global, systems level scale by circadian and homeostatic processes. Across the 24-h day, distribution of sleep/wake activity differs between species, with global sleep states characterized by defined patterns of brain electric activity and electromyography. Sleep patterns have been most intensely investigated in mammalian species. The present review begins with a brief overview on current understandings on the regulation of sleep, and its interaction with aging. An overview on age-related variations in the sleep states and associated electrophysiology and oscillatory events in humans as well as in the most common laboratory rodents follows. We present findings observed in different studies and meta-analyses, indicating links to putative physiological changes in the aged brain. Concepts requiring a more integrative view on the role of circadian and homeostatic sleep regulatory mechanisms to explain aging in sleep are emerging.

Keywords: Aging; EEG; Electrophysiology; Human; Rodents; Sleep.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Comparison of the normal sleep architecture during the inactive sleep period of the three species discussed in this review. Lights out was at 0 h for the human subject and sleep was recorded during 8 h. The rodent species were held on a 12:12 L:D regime, with lights on depicted at 0 h and sleep recorded through 12 h. Sleep architecture is determined from EEG and electromyography recordings. Note the typical difference in sleep cycle lengths across species. W wake, REM rapid eye movement sleep, stages N1–N3 in human sleep; W wake, R rapid eye movement sleep, N non-rapid eye movement sleep in the rodent species. Rat data were kindly provided by Gina R. Poe, University of California, Los Angeles (UCLA)
Fig. 2
Fig. 2
Age-related modulations in slow wave activity and sleep spindle density in humans predominate over frontal cortical regions. a Representative head plots of slow wave activity (< 4.6 Hz, absolute power as measured in μV2; left) and density (number of SW/min; right); warmer colors indicate higher values. The middle topoplots reveal the topographical differences in EEG activity between young and older human adults in which the cooler colors indicate greater differences. b Differences in the aged EEG activity in the fast sleep spindle density (13.5–15 Hz; bottom left) and slow sleep spindle density (12–13.5 Hz; bottom right). Figure taken and modified with permission from Mander and colleagues, Neuron (2017) 94 (1):19–36 [61]
Fig. 3
Fig. 3
Age-related differences of sleep states within a sleep-wake cycle of undisturbed sleep in C57BL/6J mice. Diagrams show the time course of wake (left), NREMS (central), and REMS (right) in percentage (mean ± SEM) across a 24-h recording period. White and gray top bars indicate the light (inactive) and dark (active) phases, correspondingly. Comparisons are made between early adults (EA, blue), late adulthood (LA, cyan), and old adults (OA, purple) with significant differences comparing EA vs LA (blue), LA vs OA (cyan), and EA vs OA (purple). Data indicate that old mice had a significantly decreased wake and increased NREMS time as compared to younger animals, an effect that is more evident during their active phase. Figure taken and modified with permission from McKillop and colleagues, J Neurosci (2018) 38(16):3911–3928 [65]

References

    1. Andreollo NA, Santos EF, Araujo MR, Lopes LR. Rat’s age versus human’s age: what is the relationship? Arq Bras Cir Dig. 2012;25:49–51. doi: 10.1590/s0102-67202012000100011. - DOI - PubMed
    1. Barter JD, Foster TC. Aging in the brain: new roles of epigenetics in cognitive decline. Neuroscientist. 2018;24:516–525. doi: 10.1177/1073858418780971. - DOI - PubMed
    1. Benveniste H, Elkin R, Heerdt P, Koundal S, Xue Y, Lee H, Wardlaw J. Tannenbaum A (2020) The glymphatic system and its role in cerebral homeostasis. J Appl Physiol. 1985;129:1330–1340. doi: 10.1152/japplphysiol.00852.2019. - DOI - PMC - PubMed
    1. Besedovsky L, Lange T, Haack M. The sleep-immune crosstalk in health and disease. Physiol Rev. 2019;99:1325–1380. doi: 10.1152/physrev.00010.2018. - DOI - PMC - PubMed
    1. Besedovsky L, Ngo HV, Dimitrov S, Gassenmaier C, Lehmann R, Born J. Auditory closed-loop stimulation of EEG slow oscillations strengthens sleep and signs of its immune-supportive function. Nat Commun. 2017;8:1984. doi: 10.1038/s41467-017-02170-3. - DOI - PMC - PubMed

Publication types

LinkOut - more resources