title: Cardiovascular coupling analysis with high-resolution joint symbolic dynamics in patients suffering from acute schizophrenia.
abstract: Besides the well-known cardiac risk factors for schizophrenia, increasing concerns have been raised regarding the cardiac side-effects of antipsychotic medications. A bivariate analysis of autonomic regulation, based on cardiovascular coupling, can provide additional information about heart rate (HR) and blood pressure regulatory patterns within the complex interactions of the cardiovascular system. We introduce a new high-resolution coupling analysis method (HRJSD) based on joint symbolic dynamics (JSD), which is characterized by three symbols, a threshold (individual dynamic variability, physiological) for time series transformation and eight coupling pattern families. This is based on a redundancy reduction strategy used to quantify and characterize cardiovascular couplings. In this study, short-term (30 min) HR and systolic blood pressure (SP) time series of 42 unmedicated (UNMED) and 42 medicated patients (MED) suffering from acute schizophrenia were analysed to establish the suitability of the new method for quantifying the effects of antipsychotics on cardiovascular couplings. We were able to demonstrate that HRJSD, applying the threshold based on spontaneous baroreflex sensitivity (BRS) estimation, revealed eight significant pattern families that were able to quantify the anti-cholinergic effects of antipsychotics and the related changes of cardiovascular regulation (coupling) in MED in comparison to UNMED. This was in contrast to the simple JSD, BRS (sequence method) and only partly to standard linear HR variability indices. HRJSD provides strong evidence that autonomic regulation in MED seems to be, to some extent, predominated by invariable HR responses in combination with alternating SP values in contrast to UNMED, indicating an impairment of the baroreflex control feedback loop in MED. Surrogate data analysis was applied to test for the significance and nonlinearity of cardiovascular couplings in the original data due to medical treatment with antipsychotic drugs in MED. In conclusion, the application of HRJSD revealed detailed information about short-term nonlinear cardiovascular couplings and cardiovascular physiological regulatory mechanisms (patterns) of autonomic function due to the anti-cholinergic effects of antipsychotics in patients with acute schizophrenia.
authors.affiliation: Department of Medical Engineering and Biotechnology, University of Applied Sciences, Jena, Germany.
authors.forename: Steffen
authors.initials: S
authors.lastname: Schulz
authors.forename: Nadine
authors.initials: N
authors.lastname: Tupaika
authors.forename: Sandy
authors.initials: S
authors.lastname: Berger
authors.forename: Jens
authors.initials: J
authors.lastname: Haueisen
authors.forename: Karl-Jürgen
authors.initials: KJ
authors.lastname: Bär
authors.forename: Andreas
authors.initials: A
authors.lastname: Voss
mesh_terms: D000208:Acute Disease; D000328:Adult; D000465:Algorithms; D017704:Baroreflex / Q000502:physiology; D001794:Blood Pressure; D002320:Cardiovascular Physiological Phenomena; D005260:Female; D006339:Heart Rate; D006801:Humans; D008297:Male; D012559:Schizophrenia / Q000503:physiopathology*; D013223:Statistics as Topic; D013599:Systole