Noradrenergic infraslow rhythm during sleep is the critical link between heart-rate dynamics and memory consolidation

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Authors: Sofie S. Jacobsen, Allison Brooke Morehouse, Pin-chun Chen, Ryszard S. Gomolka, Mie Maar Andersen, Maiken Nedergaard, Sara C. Mednick, Celia Kjærby
Cited by: 2
References: 71

Abstract

Recent work shows that the brain’s arousal system remains active during sleep, with rhythmic locus coeruleus (LC) activity shaping sleep architecture and supporting memory consolidation. The LC releases norepinephrine (NE) in infraslow (∼0.02 Hz) bouts that gate NREM sleep spindles. Here, we demonstrate that heart rate (HR) fluctuations during NREM are tightly phase-locked to these NE rhythms, identifying the LC as a key driver of very-low-frequency HR variability (VLF-HRV), an understudied autonomic signal. Using optogenetics, transient LC inhibition blunts HR slowing, whereas LC activation produces rapid HR acceleration, directly linking LC output to cardiac control during sleep. We further show that infraslow HR variability is a cross-species marker of spindle-dependent memory processing. In mice, the amplitude of HR decelerations during NREM predicts spindle activity and subsequent memory performance. Remarkably, human sleepers show the same pattern: stronger VLF-HR fluctuations during NREM correspond to increased spindle expression and better overnight memory retention. These findings reveal a mechanistic pathway through which LC activity modulates autonomic physiology during sleep and identify infraslow HR variability as a non-invasive marker of brainstem function and memory-promoting sleep. Because LC degeneration occurs early in neurodegenerative disease, sleep-derived HR metrics may provide a scalable indicator of emerging neuromodulatory dysfunction.

Fields of Study & Subjects

Sleep and Wakefulness Research Sleep and related disorders Neuroscience of respiration and sleep

Publication details

Journal / source
eLife
Publisher
eLife Sciences Publications, Ltd
Publication date
10 March 2026
Document type
Preprint