F
Fabrice Jurysta
Researcher at Free University of Brussels
Publications - 26
Citations - 916
Fabrice Jurysta is an academic researcher from Free University of Brussels. The author has contributed to research in topics: Slow-wave sleep & Sleep Stages. The author has an hindex of 15, co-authored 26 publications receiving 828 citations. Previous affiliations of Fabrice Jurysta include Université libre de Bruxelles.
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A study of the dynamic interactions between sleep EEG and heart rate variability in healthy young men.
Fabrice Jurysta,P. van de Borne,Pierre-François Migeotte,Martine Dumont,Jean Pol Lanquart,Jean-Paul Degaute,Paul Linkowski +6 more
TL;DR: All electroencephalographic power bands are linked to normalized high frequency and modifications in cardiac vagal activity show predominantly parallel changes and precede changes in delta band by a phase shift corresponding to a lead of 12+/-5 min.
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Information dynamics of brain?heart physiological networks during sleep
TL;DR: A structured network of sleep brain–brain and brain–heart interactions was found to be sustained mostly by the transitions across different sleep stages, as the information transfer was weaker during specific stages than during the whole night, and vanished progressively when moving from light sleep to deep sleep and to REM sleep.
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The impact of chronic primary insomnia on the heart rate--EEG variability link.
Fabrice Jurysta,Jean Pol Lanquart,V. Sputaels,Martine Dumont,Pierre-François Migeotte,Samuel Leistedt,Paul Linkowski,P. van de Borne +7 more
TL;DR: Interaction between changes in cardiac autonomic activity and delta power is altered in chronic primary insomniac patients, even in the absence of modifications in heart rate variability and cardiovascular diseases.
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Estimating the decomposition of predictive information in multivariate systems
TL;DR: A framework for the model-free estimation of information storage and information transfer computed as the terms composing the predictive information about the target of a multivariate dynamical process is presented, resulting in physiologically well-interpretable information decompositions of cardiovascular and cardiorespiratory interactions during head-up tilt and of joint brain-heart dynamics during sleep.
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Linear and non-linear brain-heart and brain-brain interactions during sleep.
TL;DR: A significant contribution of nonlinear dynamics was found in the TE, particularly involving the information transferred out of the δ node in the two networks, suggesting the importance of nonparametric TE estimation for evidencing the fine structure of the physiological networks underlying the autonomic regulation of cardiac and brain functions during sleep.