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Meas."],"published-print":{"date-parts":[[2017,5,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>The study of short-term cardiovascular interactions is classically performed through the bivariate analysis of the interactions between the beat-to-beat variability of heart period (RR interval from the ECG) and systolic blood pressure (SBP). Recent progress in the development of multivariate time series analysis methods is making it possible to explore how directed interactions between two signals change in the context of networks including other coupled signals. Exploiting these advances, the present study aims at assessing directional cardiovascular interactions among the basic variability signals of RR, SBP and diastolic blood pressure (DBP), using an approach which allows direct comparison between bivariate and multivariate coupling measures. To this end, we compute information-theoretic measures of the strength and delay of causal interactions between RR, SBP and DBP using both bivariate and trivariate (conditioned) formulations in a group of healthy subjects in a resting state and during stress conditions induced by head-up tilt (HUT) and mental arithmetics (MA). We find that bivariate measures better quantify the overall (direct\u2009\u2009+\u2009\u2009indirect) information transferred between variables, while trivariate measures better reflect the existence and delay of directed interactions. The main physiological results are: (i) the detection during supine rest of strong interactions along the pathway RR\u2009\u2009\u2192\u2009\u2009DBP\u2009\u2009\u2192\u2009\u2009SBP, reflecting marked Windkessel and\/or Frank\u2013Starling effects; (ii) the finding of relatively weak baroreflex effects SBP\u2009\u2009\u2192\u2009\u2009RR at rest; (iii) the invariance of cardiovascular interactions during MA, and the emergence of stronger and faster SBP\u2009\u2009\u2192\u2009\u2009RR interactions, as well as of weaker RR\u2009\u2009\u2192\u2009\u2009DBP interactions, during HUT. These findings support the importance of investigating cardiovascular interactions from a network perspective, and suggest the usefulness of directed information measures to assess physiological mechanisms and track their changes across different physiological states.<\/jats:p>","DOI":"10.1088\/1361-6579\/aa5b77","type":"journal-article","created":{"date-parts":[[2017,1,31]],"date-time":"2017-01-31T11:36:40Z","timestamp":1485862600000},"page":"877-894","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":53,"title":["Basic cardiovascular variability signals: mutual directed interactions explored in the information domain"],"prefix":"10.1088","volume":"38","author":[{"given":"Michal","family":"Javorka","sequence":"first","affiliation":[{"name":"Comenius University in Bratislava"},{"name":"Comenius University in Bratislava"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jana","family":"Krohova","sequence":"additional","affiliation":[{"name":"Comenius University in Bratislava"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Barbora","family":"Czippelova","sequence":"additional","affiliation":[{"name":"Comenius University in Bratislava"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zuzana","family":"Turianikova","sequence":"additional","affiliation":[{"name":"Comenius University in Bratislava"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zuzana","family":"Lazarova","sequence":"additional","affiliation":[{"name":"Comenius University in Bratislava"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kamil","family":"Javorka","sequence":"additional","affiliation":[{"name":"Comenius University in Bratislava"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luca","family":"Faes","sequence":"additional","affiliation":[{"name":"University of Trento"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2017,4,27]]},"reference":[{"key":"pmeaaa5b77bib001","doi-asserted-by":"publisher","first-page":"599","DOI":"10.1111\/j.1469-8986.1994.tb02352.x","type":"journal-article","article-title":"Autonomic cardiac control. 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All rights, including for text and data mining, AI training, and similar technologies, are reserved.","name":"copyright_information","label":"Copyright Information"},{"value":"2016-11-07","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2017-01-23","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2017-04-27","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}