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

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 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 ( = 1.126) compared to information transfer from CNS to sympathetic dominated parameters ( = 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.

Authors

Institutions

Publication Details

Journal
Computing in cardiology
Published
2024-12-01
DOI
https://doi.org/10.22489/cinc.2024.074
Primary Topic
Heart Rate Variability and Autonomic Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Jakob Müller, Martin U. Schmidt, Richard Hohmuth, Hagen Malberg
Computing in cardiology
Heart Rate Variability and Autonomic Control
article

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

Jakob Müller, Martin U. Schmidt, Richard Hohmuth, Hagen Malberg
article en

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 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 ( = 1.126) compared to information transfer from CNS to sympathetic dominated parameters ( = 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.

Computing in cardiologyVol. 51
Technische Universität Dresden (DE)
Openalex Percentile: Top 57%
Heart Rate Variability and Autonomic Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.