Cardiovascular Diseases Inhibit the Activation of Cardio-Cerebral Coupling During Arousals

Research output: Contribution to conferencesPaperContributedpeer-review

Contributors

Abstract

Arousals are spontaneous activations of the central nervous system (CNS) that cause a reaction in the autonomic nervous system (ANS). We investigated transfer entropy (TE) between CNS and ANS to characterize cardiocerebral coupling in patients with cardiovascular diseases (CVDs) and healthy subjects. 2,154 recordings from the Sleep Heart Healthy Study were investigated to find differences between both groups. CNS activity was measured by EEG band power parameters, while activity in the ANS was measured by various heart rate and QT interval variability parameters. To determinate the effect ρ of arousals, TE was calculated before and after an arousal. Information transfer from the CNS to parasympathetic dominated parameters was stronger influenced due to arousal (ρ = 1.126) compared to information transfer from CNS to sympathetic dominated parameters (ρ = 1.118). Our results indicate, that arousals lead to an activation of the parasympathetic nervous system but also an increase in the sympathetic response is necessary to return to homeostasis. The increase in information transfer due to an arousal was significantly lower (p < 0.05) in patients with CVD compared to healthy subjects, suggesting that CVD
inhibits the cardio-cerebral regulatory system. Our finding may contribute to understand the pathophysiological effects of CVD beyond the autonomic regulatory function.

Details

Original languageEnglish
Number of pages4
Publication statusPublished - 2024
Peer-reviewedYes

Conference

Title51st Computing in Cardiology Conference
Abbreviated titleCinC 2024
Duration8 - 11 September 2024
Website
Degree of recognitionInternational event
LocationKarlsruher Institut für Technologie
CityKarlsruhe
CountryGermany

External IDs

ORCID /0000-0003-4012-0608/work/175220128
ORCID /0000-0003-2214-6505/work/175220183
unpaywall 10.22489/cinc.2024.074

Keywords

Sustainable Development Goals