Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 940-958 |
| Number of pages | 19 |
| Journal | Physiological Measurement |
| Volume | 38 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2017 |
Keywords
- aging
- autonomic nervous system
- cardiovascular control
- heart rate variability
- interaction information
- multivariate linear regression model
- transfer entropy decomposition
- adult
- aged
- arterial pressure
- biological model
- breathing
- heart rate
- human
- middle aged
- normal human
- physiology
- systole
- young adult
- Adult
- Aged
- Aging
- Arterial Pressure
- Healthy Volunteers
- Heart Rate
- Humans
- Middle Aged
- Models, Cardiovascular
- Respiration
- Systole
- Young Adult
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Assessing the evolution of redundancy/synergy of spontaneous variability regulation with age. / Porta, A.; Bari, V.; De Maria, B. et al.
In: Physiological Measurement, Vol. 38, No. 5, 2017, p. 940-958.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Assessing the evolution of redundancy/synergy of spontaneous variability regulation with age
AU - Porta, A.
AU - Bari, V.
AU - De Maria, B.
AU - Perseguini, N.M.
AU - Milan, J.
AU - Rehder-Santos, P.
AU - Minatel, V.
AU - Takahashi, A.C.M.
AU - Catai, A.M.
N1 - Cited By :1 Export Date: 2 March 2018 CODEN: PMEAE Correspondence Address: Porta, A.; Dipartimento di Scienze Biomediche per la Salute, Universit degli Studi di Milano, IRCCS Policlinico San Donato, Laboratorio di Modellistica di Sistemi Complessi, Via F. Fellini 4, Italy; email: alberto.porta@unimi.it References: Akaike, H., A new look at the statistical novel identification (1974) IEEE Trans. Autom. Control, 19, pp. 716-723; Andrzejak, R.G., Kraskov, A., Stogbauer, H., Mormann, F., Kreuz, T., Bivariate surrogate techniques: Necessity, strengths, and caveats (2003) Phys. Rev., 68; Barnett, L., Barrett, A.B., Seth, A.K., Granger causality and transfer entropy are equivalent for Gaussian variables (2009) Phys. Rev. Lett., 103; Barrett, A.B., Exploration of synergistic and redundant information sharing in static and dynamical Gaussian systems (2015) Phys. 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PY - 2017
Y1 - 2017
N2 - Objective: We exploited a model-based Wiener-Granger causality method in the information domain for the evaluation of the transfer entropy (TE) and interaction TE (ITE), the latter taken as a measure of the net balance between redundancy and synergy, to describe the interactions between the spontaneous variability of heart period (HP) and systolic arterial pressure (SAP) and the effect of respiration (R) on both variables. Approach: Cardiac control was typified via the genuine TE from SAP to HP, that from R to HP, and the ITE from SAP and R to HP, while vascular control was characterized via the genuine TE from HP to SAP, that from R to SAP, and the ITE from HP and R to SAP. The approach was applied to study age-related modifications of cardiac and vascular controls in a cohort of 100 healthy humans (age from 21 to 70 years, 54 males) recorded at supine rest (REST) and during active standing (STAND). A surrogate approach was exploited to test the significance of the computed quantities. Main results: Trends of the genuine information transfer with age, already present in literature, were here confirmed. We originally found that: (i) at REST redundancy was predominant over synergy in both vascular and cardiac controls; (ii) the predominance of redundancy of the cardiac control was not affected by postural challenge, while STAND reduced redundancy of vascular control; (iii) the net redundancy of the cardiac control at REST gradually decreased with age, while that of vascular control remained stable; (iv) during STAND net redundancy of both cardiac and vascular controls was stable with age. Significance: The study confirms the relevance of computing genuine information transfer in cardiovascular control analysis and stresses the importance of evaluating the ITE to quantify the degree of redundancy of physiological mechanisms operating to maintain cardiovascular homeostasis. © 2017 Institute of Physics and Engineering in Medicine.
AB - Objective: We exploited a model-based Wiener-Granger causality method in the information domain for the evaluation of the transfer entropy (TE) and interaction TE (ITE), the latter taken as a measure of the net balance between redundancy and synergy, to describe the interactions between the spontaneous variability of heart period (HP) and systolic arterial pressure (SAP) and the effect of respiration (R) on both variables. Approach: Cardiac control was typified via the genuine TE from SAP to HP, that from R to HP, and the ITE from SAP and R to HP, while vascular control was characterized via the genuine TE from HP to SAP, that from R to SAP, and the ITE from HP and R to SAP. The approach was applied to study age-related modifications of cardiac and vascular controls in a cohort of 100 healthy humans (age from 21 to 70 years, 54 males) recorded at supine rest (REST) and during active standing (STAND). A surrogate approach was exploited to test the significance of the computed quantities. Main results: Trends of the genuine information transfer with age, already present in literature, were here confirmed. We originally found that: (i) at REST redundancy was predominant over synergy in both vascular and cardiac controls; (ii) the predominance of redundancy of the cardiac control was not affected by postural challenge, while STAND reduced redundancy of vascular control; (iii) the net redundancy of the cardiac control at REST gradually decreased with age, while that of vascular control remained stable; (iv) during STAND net redundancy of both cardiac and vascular controls was stable with age. Significance: The study confirms the relevance of computing genuine information transfer in cardiovascular control analysis and stresses the importance of evaluating the ITE to quantify the degree of redundancy of physiological mechanisms operating to maintain cardiovascular homeostasis. © 2017 Institute of Physics and Engineering in Medicine.
KW - aging
KW - autonomic nervous system
KW - cardiovascular control
KW - heart rate variability
KW - interaction information
KW - multivariate linear regression model
KW - transfer entropy decomposition
KW - adult
KW - aged
KW - arterial pressure
KW - biological model
KW - breathing
KW - heart rate
KW - human
KW - middle aged
KW - normal human
KW - physiology
KW - systole
KW - young adult
KW - Adult
KW - Aged
KW - Aging
KW - Arterial Pressure
KW - Healthy Volunteers
KW - Heart Rate
KW - Humans
KW - Middle Aged
KW - Models, Cardiovascular
KW - Respiration
KW - Systole
KW - Young Adult
U2 - 10.1088/1361-6579/aa5908
DO - 10.1088/1361-6579/aa5908
M3 - Article
VL - 38
SP - 940
EP - 958
JO - Physiological Measurement
JF - Physiological Measurement
SN - 0967-3334
IS - 5
ER -