Causal Coupling Between Electrophysiological Signals, Cerebral Hemodynamics and Systemic Blood Supply Oscillations in Mayer Wave Frequency Range

• Published in: International journal of neural systems Vol. 29; no. 5; p. 1850033
• Main Authors: Lachert, P, Zygierewicz, J, Janusek, D, Pulawski, P, Sawosz, P, Kacprzak, M, Liebert, A, Blinowska, K J
• Format: Journal Article
• Language: English
• Published: Singapore 01.06.2019
• Subjects: Adult; Brain - blood supply; Brain - metabolism; Brain Waves - physiology; Cerebrovascular Circulation - physiology; Electroencephalography; Female; Heart Rate - physiology; Hemodynamics - physiology; Humans; Male; Movement - physiology; Oxyhemoglobins - metabolism; Rest - physiology; Spectroscopy, Near-Infrared; Young Adult; directed transfer function; causal coupling; functional near-infrared spectroscopy; Granger causality; electroencephalogram; Neurovascular coupling
• ISSN: 1793-6462
• DOI: 10.1142/S0129065718500338

The aim of the study was to assess causal coupling between neuronal activity, microvascular hemodynamics and blood supply oscillations in the Mayer wave frequency range. An electroencephalogram, cerebral blood oxygenation changes, an electrocardiogram and blood pressure were recorded during rest and during a movement task. Causal coupling between them was evaluated using directed transfer function, a measure based on the Granger causality principle. The multivariate autoregressive model was fitted to all the signals simultaneously, which made it possible to construct a complete scheme of interactions between the considered signals. The obtained pattern of interactions in the resting state estimated in the 0.05-0.15 Hz band revealed a predominant influence of blood pressure oscillations on all the other variables. Reciprocal connections between blood pressure and heart rate variability time series indicated the presence of feedback loops between these signals. During movement, the pattern of connections did not change dramatically. The number of connections decreased, but the couplings between blood pressure and heart rate variability signal were not significantly changed, and the strong influence of the decreased blood hemoglobin concentration on the oxygenated hemoglobin concentration persisted. For the first time our results provided a comprehensive scheme of interactions between electrical and hemodynamic brain signals, heart rate and blood pressure oscillations. Persistent reciprocal connections between blood pressure and heart rate variability time series suggest possible feedforward and feedback coupling of cardiovascular variables which may lead to the observed oscillations in Mayer wave range.