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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:Brice V McConnell  Eugene Kronberg  Peter D Teale  Stefan H Sillau  Grace M Fishback  Rini I Kaplan  Angela J Fought  A Ranjitha Dhanasekaran  Brian D Berman  Alberto R Ramos  Rachel L McClure  Brianne M Bettcher
Affiliation: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
Abstract:Study ObjectivesSlow 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.MethodsCoupling 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.ResultsTwo 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.ConclusionsDistinct 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.
Keywords:slow wave   sleep spindle   memory   coupling   biomarker   EEG
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