2019
DOI: 10.3390/e21101024
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Multiscale Entropy of Cardiac and Postural Control Reflects a Flexible Adaptation to a Cognitive Task

Abstract: In humans, physiological systems involved in maintaining stable conditions for health and well-being are complex, encompassing multiple interactions within and between system components. This complexity is mirrored in the temporal structure of the variability of output signals. Entropy has been recognized as a good marker of systems complexity, notably when calculated from heart rate and postural dynamics. A degraded entropy is generally associated with frailty, aging, impairments or diseases. In contrast, hig… Show more

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Cited by 18 publications
(28 citation statements)
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“…Due to issues regarding the accuracy of the MSE algorithm when applied to smaller datasets (N < 750), alternative techniques were later developed [227,234,235]. One such algorithm includes the refined composite entropy multiscale entropy (RCMSE) method [235], which has been used to investigate various phenomena, such as the serrated flow, chaos, and noise, and cognitive tasks [131,151,178,180,[235][236][237]. The advantage of the RCMSE technique was illustrated in Reference [235], where the RCMSE and MSE algorithms were applied to model and analyze the 1/f noise (f is the frequency of the generated noise).…”
Section: Refined Composite Multiscale Entropy Methodsmentioning
confidence: 99%
“…Due to issues regarding the accuracy of the MSE algorithm when applied to smaller datasets (N < 750), alternative techniques were later developed [227,234,235]. One such algorithm includes the refined composite entropy multiscale entropy (RCMSE) method [235], which has been used to investigate various phenomena, such as the serrated flow, chaos, and noise, and cognitive tasks [131,151,178,180,[235][236][237]. The advantage of the RCMSE technique was illustrated in Reference [235], where the RCMSE and MSE algorithms were applied to model and analyze the 1/f noise (f is the frequency of the generated noise).…”
Section: Refined Composite Multiscale Entropy Methodsmentioning
confidence: 99%
“…Zipf’s law represents another argument for cardiovascular self-organized criticality but without physiological and medical implications, contrary to Gutenberg Richter’s law [ 2 , 4 , 10 ]. Beat-by-beat recordings of the heart rate are easy to obtain by means of commercially available heart rate monitors, facilitating the study of its complex dynamics [ 13 , 14 ]. However, it is still unknown whether Gutenberg Richter’s law, determined by blood pressure and heart rate recordings, and Zipf’s law, determined only by heart rate recordings, provide the same information.…”
Section: Introductionmentioning
confidence: 99%
“…The computations of these particular nonlinear HRV marker has been recommended in recent works to explore mood and cognition [ 40 ]. They were also shown to reflect how stress interacts with cognition [ 31 , 42 , 43 ].…”
Section: Introductionmentioning
confidence: 99%
“…The aim of the present study was to focus on nonlinear HRV dynamics, able to reflect multiple interactions across temporal scales that take place through both top-down and bottom-up communication between the brain and the heart, to gain a better understanding of physiological resonance associated with empathic stress. On the basis of our previous works [ 31 , 42 , 43 ], we hypothesized that the complexity marker of entropy would reflect an alteration in heart–brain interactions in targets experiencing stress as well as in observers, thus characterizing both first-hand stress and second-hand stress (empathic stress). To go further, we also hypothesized that this marker could highlight a physiological resonance phenomenon in observers (physiological linkage with the targets).…”
Section: Introductionmentioning
confidence: 99%