Literature DB >> 33999194

The aging slow wave: a shifting amalgam of distinct slow wave and spindle coupling subtypes define slow wave sleep across the human lifespan.

Brice V McConnell1, Eugene Kronberg1, Peter D Teale1, Stefan H Sillau1, Grace M Fishback1, Rini I Kaplan2, Angela J Fought3, A Ranjitha Dhanasekaran1, Brian D Berman4, Alberto R Ramos5, Rachel L McClure6, Brianne M Bettcher1.   

Abstract

STUDY
OBJECTIVES: Slow wave and spindle coupling supports memory consolidation, and loss of coupling is linked with cognitive decline and neurodegeneration. Coupling is proposed to be a possible biomarker of neurological disease, yet little is known about the different subtypes of coupling that normally occur throughout human development and aging. Here we identify distinct subtypes of spindles within slow wave upstates and describe their relationships with sleep stage across the human lifespan.
METHODS: Coupling within a cross-sectional cohort of 582 subjects was quantified from stages N2 and N3 sleep across ages 6-88 years old. Results were analyzed across the study population via mixed model regression. Within a subset of subjects, we further utilized coupling to identify discrete subtypes of slow waves by their coupled spindles.
RESULTS: Two different subtypes of spindles were identified during the upstates of (distinct) slow waves: an "early-fast" spindle, more common in stage N2 sleep, and a "late-fast" spindle, more common in stage N3. We further found stages N2 and N3 sleep contain a mixture of discrete subtypes of slow waves, each identified by their unique coupled-spindle timing and frequency. The relative contribution of coupling subtypes shifts across the human lifespan, and a deeper sleep phenotype prevails with increasing age.
CONCLUSIONS: Distinct subtypes of slow waves and coupled spindles form the composite of slow wave sleep. Our findings support a model of sleep-dependent synaptic regulation via discrete slow wave/spindle coupling subtypes and advance a conceptual framework for the development of coupling-based biomarkers in age-associated neurological disease. © Sleep Research Society 2021. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  EEG; biomarker; coupling; memory; sleep spindle; slow wave

Mesh:

Year:  2021        PMID: 33999194      PMCID: PMC8503831          DOI: 10.1093/sleep/zsab125

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


  67 in total

Review 1.  Light sleep versus slow wave sleep in memory consolidation: a question of global versus local processes?

Authors:  Lisa Genzel; Marijn C W Kroes; Martin Dresler; Francesco P Battaglia
Journal:  Trends Neurosci       Date:  2013-11-07       Impact factor: 13.837

Review 2.  Slow oscillations orchestrating fast oscillations and memory consolidation.

Authors:  Matthias Mölle; Jan Born
Journal:  Prog Brain Res       Date:  2011       Impact factor: 2.453

3.  Fast and slow spindles during the sleep slow oscillation: disparate coalescence and engagement in memory processing.

Authors:  Matthias Mölle; Til O Bergmann; Lisa Marshall; Jan Born
Journal:  Sleep       Date:  2011-10-01       Impact factor: 5.849

4.  Old Brains Come Uncoupled in Sleep: Slow Wave-Spindle Synchrony, Brain Atrophy, and Forgetting.

Authors:  Randolph F Helfrich; Bryce A Mander; William J Jagust; Robert T Knight; Matthew P Walker
Journal:  Neuron       Date:  2017-12-14       Impact factor: 17.173

5.  Theta Bursts Precede, and Spindles Follow, Cortical and Thalamic Downstates in Human NREM Sleep.

Authors:  Christopher E Gonzalez; Rachel A Mak-McCully; Burke Q Rosen; Sydney S Cash; Patrick Y Chauvel; Hélène Bastuji; Marc Rey; Eric Halgren
Journal:  J Neurosci       Date:  2018-09-21       Impact factor: 6.167

6.  Individual Differences in Frequency and Topography of Slow and Fast Sleep Spindles.

Authors:  Roy Cox; Anna C Schapiro; Dara S Manoach; Robert Stickgold
Journal:  Front Hum Neurosci       Date:  2017-09-05       Impact factor: 3.169

7.  Local and Widespread Slow Waves in Stable NREM Sleep: Evidence for Distinct Regulation Mechanisms.

Authors:  Giulio Bernardi; Francesca Siclari; Giacomo Handjaras; Brady A Riedner; Giulio Tononi
Journal:  Front Hum Neurosci       Date:  2018-06-19       Impact factor: 3.169

Review 8.  Sleep Disturbance as a Potential Modifiable Risk Factor for Alzheimer's Disease.

Authors:  Eiko N Minakawa; Keiji Wada; Yoshitaka Nagai
Journal:  Int J Mol Sci       Date:  2019-02-13       Impact factor: 5.923

Review 9.  Sleep Spindles as Facilitators of Memory Formation and Learning.

Authors:  Daniel Ulrich
Journal:  Neural Plast       Date:  2016-03-28       Impact factor: 3.599

Review 10.  Theories of Memory and Aging: A Look at the Past and a Glimpse of the Future.

Authors:  Denise C Park; Sara B Festini
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2016-06-02       Impact factor: 4.077

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  2 in total

1.  The Rise and Fall of Slow Wave Tides: Vacillations in Coupled Slow Wave/Spindle Pairing Shift the Composition of Slow Wave Activity in Accordance With Depth of Sleep.

Authors:  Brice V McConnell; Eugene Kronberg; Lindsey M Medenblik; Vitaly O Kheyfets; Alberto R Ramos; Stefan H Sillau; Rachelle L Pulver; Brianne M Bettcher
Journal:  Front Neurosci       Date:  2022-06-23       Impact factor: 5.152

2.  Sleep EEG in young people with 22q11.2 deletion syndrome: A cross-sectional study of slow-waves, spindles and correlations with memory and neurodevelopmental symptoms.

Authors:  Nicholas A Donnelly; Ullrich Bartsch; Marianne B M van den Bree; Matt W Jones; Hayley A Moulding; Christopher Eaton; Hugh Marston; Jessica H Hall; Jeremy Hall; Michael J Owen
Journal:  Elife       Date:  2022-08-30       Impact factor: 8.713

  2 in total

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