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Information dynamics of brain–heart physiological networks during sleep

Luca Faes, Giandomenico Nollo, Fabrice Jurysta and Daniele Marinazzo UGent (2014) NEW JOURNAL OF PHYSICS. 16.
abstract
This study proposes an integrated approach, framed in the emerging fields of network physiology and information dynamics, for the quantitative analysis of brain–heart interaction networks during sleep. With this approach, the time series of cardiac vagal autonomic activity and brain wave activities measured respectively as the normalized high frequency component of heart rate variability and the EEG power in the δ, θ, α, σ, and β bands, are considered as realizations of the stochastic processes describing the dynamics of the heart system and of different brain sub-systems. Entropy-based measures are exploited to quantify the predictive information carried by each (sub)system, and to dissect this information into a part actively stored in the system and a part transferred to it from the other connected systems. The application of this approach to polysomnographic recordings of ten healthy subjects led us to identify a structured network of sleep brain–brain and brain–heart interactions, with the node described by the β EEG power acting as a hub which conveys the largest amount of information flowing between the heart and brain nodes. This network 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.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
network, dynamics, information transfer, brain, heart, RATE-VARIABILITY, TRANSFER ENTROPY, MULTIVARIATE NORMALITY, CONDITIONAL ENTROPY, HEALTHY-SUBJECTS, FREQUENCY BANDS, EEG, HUMANS, PERIOD, ALPHA
journal title
NEW JOURNAL OF PHYSICS
volume
16
issue title
Network Physiology and Network Medicine
pages
20 pages
Web of Science type
Article
Web of Science id
000344097600005
JCR category
PHYSICS, MULTIDISCIPLINARY
JCR impact factor
3.558 (2014)
JCR rank
10/78 (2014)
JCR quartile
1 (2014)
ISSN
1367-2630
DOI
10.1088/1367-2630/16/10/105005
project
The integrative neuroscience of behavioral control (Neuroscience)
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
5757266
handle
http://hdl.handle.net/1854/LU-5757266
date created
2014-11-18 14:08:27
date last changed
2016-12-19 15:38:32
@article{5757266,
  abstract     = {This study proposes an integrated approach, framed in the emerging fields of network physiology and information dynamics, for the quantitative analysis of brain--heart interaction networks during sleep. With this approach, the time series of cardiac vagal autonomic activity and brain wave activities measured respectively as the normalized high frequency component of heart rate variability and the EEG power in the \ensuremath{\delta}, \ensuremath{\theta}, \ensuremath{\alpha}, \ensuremath{\sigma}, and \ensuremath{\beta} bands, are considered as realizations of the stochastic processes describing the dynamics of the heart system and of different brain sub-systems. Entropy-based measures are exploited to quantify the predictive information carried by each (sub)system, and to dissect this information into a part actively stored in the system and a part transferred to it from the other connected systems. The application of this approach to polysomnographic recordings of ten healthy subjects led us to identify a structured network of sleep brain--brain and brain--heart interactions, with the node described by the \ensuremath{\beta} EEG power acting as a hub which conveys the largest amount of information flowing between the heart and brain nodes. This network 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.},
  author       = {Faes, Luca and Nollo, Giandomenico and Jurysta, Fabrice and Marinazzo, Daniele},
  issn         = {1367-2630},
  journal      = {NEW JOURNAL OF PHYSICS},
  keyword      = {network,dynamics,information transfer,brain,heart,RATE-VARIABILITY,TRANSFER ENTROPY,MULTIVARIATE NORMALITY,CONDITIONAL ENTROPY,HEALTHY-SUBJECTS,FREQUENCY BANDS,EEG,HUMANS,PERIOD,ALPHA},
  language     = {eng},
  pages        = {20},
  title        = {Information dynamics of brain--heart physiological networks during sleep},
  url          = {http://dx.doi.org/10.1088/1367-2630/16/10/105005},
  volume       = {16},
  year         = {2014},
}

Chicago
Faes, Luca, Giandomenico Nollo, Fabrice Jurysta, and Daniele Marinazzo. 2014. “Information Dynamics of Brain–heart Physiological Networks During Sleep.” New Journal of Physics 16.
APA
Faes, L., Nollo, G., Jurysta, F., & Marinazzo, D. (2014). Information dynamics of brain–heart physiological networks during sleep. NEW JOURNAL OF PHYSICS, 16.
Vancouver
1.
Faes L, Nollo G, Jurysta F, Marinazzo D. Information dynamics of brain–heart physiological networks during sleep. NEW JOURNAL OF PHYSICS. 2014;16.
MLA
Faes, Luca, Giandomenico Nollo, Fabrice Jurysta, et al. “Information Dynamics of Brain–heart Physiological Networks During Sleep.” NEW JOURNAL OF PHYSICS 16 (2014): n. pag. Print.