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

Authors
  • McConnell, Brice V1
  • Kronberg, Eugene1
  • Teale, Peter D1
  • Sillau, Stefan H1
  • Fishback, Grace M1
  • Kaplan, Rini I2
  • Fought, Angela J3
  • Dhanasekaran, A Ranjitha1
  • Berman, Brian D4
  • Ramos, Alberto R5
  • McClure, Rachel L6
  • Bettcher, Brianne M1
  • 1 Neurology, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA.
  • 2 Psychological & Brain Sciences, Boston University, Boston, MA, USA.
  • 3 Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO.
  • 4 Neurology, Virginia Commonwealth University, Richmond, VA, USA.
  • 5 Neurology, University of Miami Miller School of Medicine, Miami, FL, USA.
  • 6 Astronomy, University of Wisconsin-Madison, Madison, WI,USA.
Type
Published Article
Journal
SLEEP
Publisher
Oxford University Press
Publication Date
Oct 11, 2021
Volume
44
Issue
10
Identifiers
DOI: 10.1093/sleep/zsab125
PMID: 33999194
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

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. 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. 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. 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: [email protected]

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