The patterns of Granger causality (GC) between heart period (HP), mean arterial pressure (AP) and cerebral blood flow velocity (FV) were investigated in ten subjects with postural related syncope (PRS). The classic GC measure based on vector autoregressive (VAR) modeling was compared with a novel extended GC (eGC) measure derived from VAR models incorporating instantaneous causal effects among the series. The analysis was performed in the supine and in the upright position during early (ET) and late (LT, close to presyncope) epochs of head-up tilt. Moving from ET to LT, both GC and eGC decreased from AP to HP, and increased from AP to FV, reflecting baroreflex impairment and loss of cerebral autoregulation. The statistical significance of t...
We investigated the ability of mutual nonlinear prediction methods to assess causal interactions in ...
To elicit the effects of considering causality in the study of the interactions between RR interval ...
We investigated the ability of mutual nonlinear prediction methods to assess causal interactions in ...
The patterns of Granger causality (GC) between heart period (HP), mean arterial pressure (AP) and ce...
Granger causality (GC) is a very popular tool for assessing the presence of directional interactions...
Granger causality (GC) is a very popular tool for assessing the presence of directional interactions...
The evaluation of propensity to postural syncope necessitates the concomitant characterization of th...
Objective: A model-based conditional transfer entropy approach was exploited to quantify the informa...
Three approaches to the assessment of cerebrovascular autoregulation (CA) via the computation of the...
Some previous evidence suggests that postural related syncope is associated with defective mechanism...
The coupling and latency between heart period (HP) and systolic arterial pressure (SAP) variability ...
A causal approach to the calculation of coherence and transfer function between systolic pressure (S...
The transition from the supine to the upright position requires a reorganization of the mechanisms o...
We present a framework for the linear parametric analysis of pairwise interactions in bivariate time...
We investigated the ability of mutual nonlinear prediction methods to assess causal interactions in ...
We investigated the ability of mutual nonlinear prediction methods to assess causal interactions in ...
To elicit the effects of considering causality in the study of the interactions between RR interval ...
We investigated the ability of mutual nonlinear prediction methods to assess causal interactions in ...
The patterns of Granger causality (GC) between heart period (HP), mean arterial pressure (AP) and ce...
Granger causality (GC) is a very popular tool for assessing the presence of directional interactions...
Granger causality (GC) is a very popular tool for assessing the presence of directional interactions...
The evaluation of propensity to postural syncope necessitates the concomitant characterization of th...
Objective: A model-based conditional transfer entropy approach was exploited to quantify the informa...
Three approaches to the assessment of cerebrovascular autoregulation (CA) via the computation of the...
Some previous evidence suggests that postural related syncope is associated with defective mechanism...
The coupling and latency between heart period (HP) and systolic arterial pressure (SAP) variability ...
A causal approach to the calculation of coherence and transfer function between systolic pressure (S...
The transition from the supine to the upright position requires a reorganization of the mechanisms o...
We present a framework for the linear parametric analysis of pairwise interactions in bivariate time...
We investigated the ability of mutual nonlinear prediction methods to assess causal interactions in ...
We investigated the ability of mutual nonlinear prediction methods to assess causal interactions in ...
To elicit the effects of considering causality in the study of the interactions between RR interval ...
We investigated the ability of mutual nonlinear prediction methods to assess causal interactions in ...