title: Characterization of interdependency between intracranial pressure and heart variability signals: a causal spectral measure and a generalized synchronization measure.
abstract: Causal coherence and generalized synchronization (GS) index were extracted from beat-to-beat mean intracranial pressure (ICP) and intervals between consecutive normal sinus heart beats (RR interval) that were recorded from 12 patients undergoing normal pressure hydrocephalus diagnosis. Data were organized into two groups including an ICP B-Wave group and a baseline control group. Maximal classic coherence (CC) between ICP and RR interval within [0.04, 0.15] Hz was found to be significantly greater than zero for both B-Wave and control groups with B-Wave CC greater than that of the baseline group. Causal coherence analysis further revealed that feedforward coherence due to RR interval's effect on ICP always exists for both B-Wave and baseline ICP state and no significant difference exists between two groups. On the other hand, feedback coherence from ICP to RR interval was enhanced during the occurrence of B-Wave. This finding regarding the enhanced directional, from ICP to RR interval, coupling between ICP and RR interval was also confirmed by a modified GS measure.
authors: Brain Monitoring and Modelling Laboratory, Division of Neurosurgery, University of California, Los Angeles, CA 90034, USA. xiaohu@ucla.edu
authors: Xiao
authors: X
authors: Hu
authors: Valeriy
authors: V
authors: Nenov
authors: Paul
authors: P
authors: Vespa
authors: Marvin
authors: M
authors: Bergsneider
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006339:Heart Rate; D006850:Hydrocephalus, Normal Pressure / Q000175:diagnosis* / Q000503:physiopathology*; D007427:Intracranial Pressure; D008954:Models, Biological; D013223:Statistics as Topic
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