Quantifying Net Synergy/Redundancy of Spontaneous Variability Regulation via Predictability and Transfer Entropy Decomposition Frameworks

TY - JOUR

T1 - Quantifying Net Synergy/Redundancy of Spontaneous Variability Regulation via Predictability and Transfer Entropy Decomposition Frameworks

AU - Porta, A.

AU - Bari, V.

AU - De Maria, B.

AU - Takahashi, A.C.M.

AU - Guzzetti, S.

AU - Colombo, R.

AU - Catai, A.M.

AU - Raimondi, F.

AU - Faes, L.

N1 - Cited By :1 Export Date: 2 March 2018 CODEN: IEBEA Correspondence Address: Porta, A.; Department of Biomedical Sciences for Health, University of MilanItaly; email: alberto.porta@unimi.it References: Faes, L., Predictability decomposition detects the impairment of brain-heart dynamical networks during sleep disorders and their recovery with treatment (2016) Philosoph. Trans. Roy. Soc. Amer., 374; Porta, A., Disentangling cardiovascular control mechanisms during head-down tilt via joint transfer entropy and self-entropy decompositions (2015) Front. Physiol., 6; Faes, L., Information decomposition in bivariate systems: Theory and application to cardiorespiratory dynamics (2015) Entropy, 17, pp. 277-303; Porta, A., Conditional self-entropy and conditional joint transfer entropy in heart period variability during graded postural challenge (2015) PLoS ONE, 10; Angelini, L., Redundant variables and Granger causality (2010) Phys. 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PY - 2017

Y1 - 2017

N2 - Objective: Indexes assessing the balance between redundancy and synergy were hypothesized to be helpful in characterizing cardiovascular control from spontaneous beat-to-beat variations of heart period (HP), systolic arterial pressure (SAP), and respiration (R). Methods: Net redundancy/synergy indexes were derived according to predictability and transfer entropy decomposition strategies via a multivariate linear regression approach. Indexes were tested in two protocols inducing modifications of the cardiovascular regulation via baroreflex loading/unloading (i.e., head-down tilt at -25° and graded head-up tilt at 15°, 30°, 45°, 60°, 75°, and 90°, respectively). The net redundancy/synergy of SAP and R to HP and of HP and R to SAP were estimated over stationary sequences of 256 successive values. Results: We found that: 1) regardless of the target (i.e., HP or SAP) redundancy was prevalent over synergy and this prevalence was independent of type and magnitude of the baroreflex challenge; 2) the prevalence of redundancy disappeared when decoupling inputs from output via a surrogate approach; 3) net redundancy was under autonomic control given that it varied in proportion to the vagal withdrawal during graded head-up tilt; and 4) conclusions held regardless of the decomposition strategy. Conclusion: Net redundancy indexes can monitor changes of cardiovascular control from a perspective completely different from that provided by more traditional univariate and multivariate methods. Significance: Net redundancy measures might provide a practical tool to quantify the reservoir of effective cardiovascular regulatory mechanisms sharing causal influences over a target variable. © 1964-2012 IEEE.

AB - Objective: Indexes assessing the balance between redundancy and synergy were hypothesized to be helpful in characterizing cardiovascular control from spontaneous beat-to-beat variations of heart period (HP), systolic arterial pressure (SAP), and respiration (R). Methods: Net redundancy/synergy indexes were derived according to predictability and transfer entropy decomposition strategies via a multivariate linear regression approach. Indexes were tested in two protocols inducing modifications of the cardiovascular regulation via baroreflex loading/unloading (i.e., head-down tilt at -25° and graded head-up tilt at 15°, 30°, 45°, 60°, 75°, and 90°, respectively). The net redundancy/synergy of SAP and R to HP and of HP and R to SAP were estimated over stationary sequences of 256 successive values. Results: We found that: 1) regardless of the target (i.e., HP or SAP) redundancy was prevalent over synergy and this prevalence was independent of type and magnitude of the baroreflex challenge; 2) the prevalence of redundancy disappeared when decoupling inputs from output via a surrogate approach; 3) net redundancy was under autonomic control given that it varied in proportion to the vagal withdrawal during graded head-up tilt; and 4) conclusions held regardless of the decomposition strategy. Conclusion: Net redundancy indexes can monitor changes of cardiovascular control from a perspective completely different from that provided by more traditional univariate and multivariate methods. Significance: Net redundancy measures might provide a practical tool to quantify the reservoir of effective cardiovascular regulatory mechanisms sharing causal influences over a target variable. © 1964-2012 IEEE.

KW - Autonomic nervous system

KW - cardiovascular control

KW - head-down tilt (HDT)

KW - head-up tilt (HUT)

KW - heart rate variability

KW - Wiener-Granger causality

KW - Entropy

KW - Cardiovascular control

KW - Granger Causality

KW - Head-up tilts

KW - Heart rate variability

KW - Redundancy

KW - adult

KW - aged

KW - arterial pressure

KW - Article

KW - autonomic nervous system

KW - breathing

KW - cardiovascular parameters

KW - decomposition

KW - entropy

KW - extrasystole

KW - female

KW - head-down tilt

KW - heart cycle

KW - human

KW - kernel method

KW - limit of quantitation

KW - male

KW - net redundancy

KW - normal human

KW - pressoreceptor reflex

KW - prevalence

KW - QRS complex

KW - redundancy analysis

KW - systolic arterial pressure

KW - thorax pressure

U2 - 10.1109/TBME.2017.2654509

DO - 10.1109/TBME.2017.2654509

M3 - Article

VL - 64

SP - 2628

EP - 2638

JO - IEEE Transactions on Biomedical Engineering

JF - IEEE Transactions on Biomedical Engineering

SN - 0018-9294

IS - 11

ER -