ANALYZING THE RELATIONSHIP BETWEEN BRAIN AND HEART ACTIVITY ACROSS VARIOUS COLLABORATIVE TASKS
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F25%3A50022243" target="_blank" >RIV/62690094:18450/25:50022243 - isvavai.cz</a>
Result on the web
<a href="https://www.worldscientific.com/doi/10.1142/S0218348X25500112" target="_blank" >https://www.worldscientific.com/doi/10.1142/S0218348X25500112</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1142/S0218348X25500112" target="_blank" >10.1142/S0218348X25500112</a>
Alternative languages
Result language
angličtina
Original language name
ANALYZING THE RELATIONSHIP BETWEEN BRAIN AND HEART ACTIVITY ACROSS VARIOUS COLLABORATIVE TASKS
Original language description
Understanding the correlation between the brain's activity and the physiological responses of other organs under varying conditions is a crucial area of research that holds significant potential for advancing our knowledge of human physiology. In this study, we focused on investigating the interaction between the heart and brain by employing advanced complexity analysis techniques, specifically examining the fractal dimension and approximate entropy of electroencephalogram (EEG) and R-R interval time series. The analysis was conducted on data collected from 12 subjects who were observed under three distinct conditions: baseline (normal resting state) and two collaborative activities performed both with and without the presence of noise. Our findings revealed that the complexity patterns of EEG and R-R signals showed similar trends in alterations across all conditions, suggesting a strong coupling between the brain's and heart's responses. This observed coupling highlights the potential for a coordinated physiological interaction between these two critical systems. Furthermore, our approach, which successfully decoded the heart-brain correlation, offers a promising framework for extending this analysis to explore correlations between the brain and other organs, thereby contributing to a deeper understanding of the complex networks that underlie human health and adaptive physiological responses. © 2025 The Author(s).
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10700 - Other natural sciences
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Fractals
ISSN
0218-348X
e-ISSN
1793-6543
Volume of the periodical
33
Issue of the periodical within the volume
01
Country of publishing house
SG - SINGAPORE
Number of pages
7
Pages from-to
"Article number: 2550011"
UT code for WoS article
001412799700001
EID of the result in the Scopus database
2-s2.0-85216293947