# Adaptations of Sleep and Cardiac Rhythms in the Hypometabolic State of a Human Sized Hibernator

> **NIH NIH P20** · UNIVERSITY OF ALASKA FAIRBANKS · 2023 · $155,001

## Abstract

This project will leverage analysis of more than 10 years of unpublished polysomnographic recordings 
from long term hibernation studies in American black bears. Therapy used to decrease to decrease 
oxygen demands in critical care of cardiac arrest, stroke, and trauma has limited capacity without 
extensive use of resources, and with moderate effects, only 5-7% decrease in metabolic rate per degree 
of cooling. The suppression of metabolic rate during hibernation in a human sized animal model is much 
greater and could be clinically important if mechanisms were understood and translated to clinical use: A 
black bear decreases its metabolic rate by 75% during hibernation with only a moderate decrease in body 
temperature to 32-34°C and have still a 50% suppression of metabolic rat at 37°C during the recovery 
from hibernation in spring. The average heart rate decreases from about normal resting of 55 to 14 beats 
per minute in midhibernation, modulated by extreme cardiac sinus arrhythmia with longest inter-beat 
intervals more than 25 seconds. Body temperature can vary down to 30°C without apparent adverse 
effects on the heart, and they remain alert and can immediately respond to disturbance as opposed to the 
intensive care patient that typically is kept in a coma. However key information about higher brain 
functions and sleep/wake states during hibernation in bears is missing, and an understanding of the 
autonomic control required to sustain the hypometabolic state is also lacking. No previous studies have 
recorded blood pressure patterns in a non-anesthetized bear model during hibernation so the 
consequences of their low heart rate and extreme sinus arrhythmia are not known. The rationale for 
studying this hibernation model is that it has a physiology much closer and translatable to human 
physiology than deeper hibernators. 1) It will use automated sleep scoring verified against manual sleep 
scoring to determine the sleep patterns of bears through hibernation. The hypothesis is that hibernating 
bears will have a very pronounced increase in sleep time to avoid energy expenditure related to wake 
activity and that they suppress circadian rhythms while in the dark. The sleep patterns will be correlated 
with metabolic rate, and the alerting effect of body temperature levels will be determined. Frequency 
analysis of EEG patterns will determine if there are underlying functional differences between sleep during 
hibernation compared to non-hibernating state. 2) The project will further determine HR variability and 
blood pressure patterns in relation to metabolic state and sleep and investigate if changes in ECG

## Key facts

- **NIH application ID:** 10975413
- **Project number:** 5P20GM130443-05
- **Recipient organization:** UNIVERSITY OF ALASKA FAIRBANKS
- **Principal Investigator:** Oivind Toien
- **Activity code:** P20 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $155,001
- **Award type:** 5
- **Project period:** 2023-07-01 → 2026-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10975413

## Citation

> US National Institutes of Health, RePORTER application 10975413, Adaptations of Sleep and Cardiac Rhythms in the Hypometabolic State of a Human Sized Hibernator (5P20GM130443-05). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10975413. Licensed CC0.

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