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Temporal relationship between dynamic heart rate variability and electroencephalographic activity during sleep in man
H Otzenberger1, C Simon, C Gronfier
1UPRES 12, Faculté de Médecine, Strasbourg, France. helene.otzenberger@c-strasbourg.fr
Neuroscience Letters
|July 4, 1997
Summary
Heart rate variability (HRV) patterns during sleep are linked to brain activity. Changes in HRV, measured by RR intervals, consistently preceded shifts in electroencephalographic (EEG) activity by 1-2 minutes.
Area of Science:
- Neuroscience
- Cardiology
- Sleep Medicine
Background:
- Poincare plots of RR intervals reveal distinct heart rate variability (HRV) patterns across sleep stages.
- Previous research indicates a connection between HRV and sleep stages.
Purpose of the Study:
- To investigate the temporal relationship between HRV and electroencephalographic (EEG) activity during sleep.
- To assess how HRV dynamics correlate with EEG mean frequency profiles.
Main Methods:
- Calculated Pearson's interbeat autocorrelation coefficients from RR intervals derived from Poincare plots in 12 subjects.
- Analyzed EEG mean frequency (0.5-35 Hz) using Fast Fourier Transformation.
- Examined overnight profiles of HRV and EEG mean frequency for cross-correlations.
Main Results:
- Found highly significant cross-correlation coefficients (0.216-0.638, P < 0.001) between HRV and EEG mean frequency.
- Demonstrated that variations in HRV preceded changes in EEG activity by 1-2 minutes.
- Confirmed a close link between beat-to-beat HRV and EEG activity during human sleep.
Conclusions:
- HRV and EEG activity are closely interconnected during sleep.
- HRV serves as a potential early indicator of upcoming changes in brain activity during sleep.
- This study provides quantitative evidence for the dynamic interplay between cardiac and neural systems during sleep.