Quantification of the Central Cardiovascular Network Applying the Normalized Short-time Partial Directed Coherence Approach in Healthy SubjectsThis work has been partly supported by grants from the Federal Ministry for Economic Affairs and Energy (KF 2447308KJ4 and KF 2447309KJ4).
27 June 2017
accepted: 26 February 2018
02 May 2018 (online)
Background: The central control of the autonomic nervous system (ANS) and the complex interplay of its components can be described by a functional integrated mode – the central autonomic network (CAN). CAN represents the integrated functioning and interaction between the central nervous system (CNS) and ANS (parasympathetic and sympathetic activity).
Objective: This study investigates the central cardiovascular network (CCVN) as a part of the CAN, during which heart rate (HR), systolic blood pressure (SYS) and frontal EEG activity in 21 healthy subjects (CON) will be analysed. The objective of this study is to determine how these couplings (central-cardiovascular) are composed by the different regulatory aspects of the CNS-ANS interaction.
Methods: To quantify the short-term instantaneous causal couplings within the CCVN, the normalized short time partial directed coherence (NSTPDC) approach was applied. It is based on an m-dimensional MAR process to determine Granger causality in the frequency domain.
Results: We found that CCVN were of bidirectional character, and that the causal influences of central activity towards HR were stronger than those towards systolic blood pressure. This suggests that the central-cardiac closed-loop regulation process in CON focuses mainly on adapting the heart rate via the sinoatrial node rather than focusing on SYS. The CNS-ANS coupling directions with respect to central spectral power bands were characterized as mostly bidirectional, where HR and SYS acted as drivers in nearly every frequency band (unidirectional for α, α1 and α2).
Conclusion: This study provides a more indepth understanding of the interplay of neuronal and autonomic cardiovascular regulatory processes in healthy subjects, as well as a greater insight into the complex CAN.
KeywordsAutonomous nervous system - causal coupling analysis - central cardiovascular network - central autonomic network - partial directed coherence
- 1 Heatherton TF, Wagner DD. Cognitive neuroscience of self-regulation failure. Trends Cogn Sci 2011; 15 (03) 132-139.
- 2 Thayer JF, Ahs F, Fredrikson M, Sollers 3rd JJ, Wager TD. A meta-analysis of heart rate variability and neuroimaging studies: implications for heart rate variability as a marker of stress and health. Neurosci Biobehav Rev 2012; 36 (02) 747-756.
- 3 Thayer JF, Lane RD. A model of neurovisceral integration in emotion regulation and dysregulation. J Affect Disord 2000; 61 (03) 201-216.
- 4 Dampney RA. Functional organization of central pathways regulating the cardiovascular system. Physiol Rev 1994; 74 (02) 323-364.
- 5 Beissner F, Meissner K, Bar KJ, Napadow V. The autonomic brain: an activation likelihood estimation meta-analysis for central processing of autonomic function. J Neurosci 2013; 33 (25) 10503-10511.
- 6 Thayer JF. What the Heart Says to the Brain (and vice versa) and Why We Should Listen. Psychological Topics 2007; 16 (02) 241-250.
- 7 He B, Liu Z. Multimodal functional neuroimaging: integrating functional MRI and EEG/MEG. IEEE Rev Biomed Eng 2008; 01: 23-40.
- 8 Portnova GV, Tetereva A, Balaev V, Atanov M, Skiteva L, Ushakov V. et al. Correlation of BOLD Signal with Linear and Nonlinear Patterns of EEG in Resting State EEG-Informed fMRI. Frontiers in Human Neuroscience 2018; 11: 654.
- 9 Murta T, Leite M, Carmichael DW, Figueiredo P, Lemieux L. Electrophysiological correlates of the BOLD signal for EEG-informed fMRI. Hum Brain Mapp 2015; 36 (01) 391-414.
- 10 Laufs H, Krakow K, Sterzer P, Eger E, Beyerle A, Salek-Haddadi A. et al. Electroencephalographic signatures of attentional and cognitive default modes in spontaneous brain activity fluctuations at rest. Proc Natl Acad Sci U S A 2003; 100 (19) 11053-11058.
- 11 Schulz S, Bolz M, Bär KJ, Voss A. Central-and Autonomic Nervous System Coupling in Schizophrenia. Philos Trans A Math Phys Eng Sci 2016; 374: 2067.
- 12 Schulz S, Bär KJ, Voss A. Analyses of Heart Rate, Respiration and Cardiorespiratory Coupling in Patients with Schizophrenia. Entropy 2015; 17 (02) 483-501.
- 13 Adochiei F, Schulz S, Edu I, Costin H, Voss A. A New Normalised Short Time PDC for Dynamic Coupling Analyses. Biomed Tech (Berl). Sep. 7 2013
- 14 Basar E, Guntekin B. A review of brain oscillations in cognitive disorders and the role of neurotransmitters. Brain Res 2008; 1235: 172-193.