4.5 Article

Causality of cortical and cardiovascular activity during cyclic alternating pattern in non-rapid eye movement sleep

出版社

ROYAL SOC
DOI: 10.1098/rsta.2020.0248

关键词

multivariate analysis; Granger causality; cyclic alternating pattern; network physiology; sleep microstructure

资金

  1. Australian Research Council [DP0663345]
  2. Australian Research Council [DP0663345] Funding Source: Australian Research Council

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This study investigates the causal relationships between cortical and cardiovascular activities during sleep, revealing a stronger influence of delta activity and more pronounced changes in autonomic activity during rapid, high-amplitude EEG activation phases. This has implications for understanding the level of decoupling in sleep disorders.
The dynamic interplay between central and autonomic nervous system activities plays a pivotal role in orchestrating sleep. Macrostructural changes such as sleep-stage transitions or phasic, brief cortical events elicit fluctuations in neural outflow to the cardiovascular system, but the causal relationships between cortical and cardiovascular activities underpinning the microstructure of sleep are largely unknown. Here, we investigate cortical-cardiovascular interactions during the cyclic alternating pattern (CAP) of non-rapid eye movement sleep in a diverse set of overnight polysomnograms. We determine the Granger causality in both 507 CAP and 507 matched non-CAP sequences to assess the causal relationships between electroencephalography (EEG) frequency bands and respiratory and cardiovascular variables (heart period, respiratory period, pulse arrival time and pulse wave amplitude) during CAP. We observe a significantly stronger influence of delta activity on vascular variables during CAP sequences where slow, low-amplitude EEG activation phases (A1) dominate than during non-CAP sequences. We also show that rapid, high-amplitude EEG activation phases (A3) provoke a more pronounced change in autonomic activity than A1 and A2 phases. Our analysis provides the first evidence on the causal interplay between cortical and cardiovascular activities during CAP. Granger causality analysis may also be useful for probing the level of decoupling in sleep disorders. This article is part of the theme issue 'Advanced computation in cardiovascular physiology: new challenges and opportunities'.

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