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RESEARCH PRODUCT
Quantifying multidimensional control mechanisms of cardiovascular dynamics during multiple concurrent stressors
Enzo Pasquale ScilingoLuca FaesAlberto GrecoRiccardo BarbieriMichal JavorkaShadi GhiasiGaetano Valenzasubject
HeartbeatTilt testComputer scienceCold pressor test0206 medical engineeringEmotionsBiomedical Engineering02 engineering and technologyStressAutonomic Nervous SystemCardiovascular System030218 nuclear medicine & medical imaging03 medical and health sciencesNeural activity0302 clinical medicineHeart RateHumansCentral autonomic networkCardiac controlControl (linguistics)Heart rate variabilityStressorEmotion elicitationHealthy subjectsCognitionHeart020601 biomedical engineeringComputer Science ApplicationsPsychophysiologyCentral autonomic network; Cold pressor test; Emotion elicitation; Heart rate variability; Stress; Tilt test; Autonomic Nervous System; Emotions; Heart; Heart Rate; Humans; Cardiovascular SystemSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaCentral autonomic network Cold pressor test Emotion elicitation Heart rate variability Stress Tilt testNeurosciencedescription
Heartbeat regulation is achieved through different routes originating from central autonomic network sources, as well as peripheral control mechanisms. While previous studies successfully characterized cardiovascular regulatory mechanisms during a single stressor, to the best of our knowledge, a combination of multiple concurrent elicitations leading to the activation of different autonomic regulatory routes has not been investigated yet. Therefore, in this study, we propose a novel modeling framework for the quantification of heartbeat regulatory mechanisms driven by different neural routes. The framework is evaluated using two heartbeat datasets gathered from healthy subjects undergoing physical and mental stressors, as well as their concurrent administration. Experimental results indicate that more than 70% of the heartbeat regulatory dynamics is driven by the physical stressor when combining physical and cognitive/emotional stressors. The proposed framework provides quantitative insights and novel perspectives for neural activity on cardiac control dynamics, likely highlighting new biomarkers in the psychophysiology and physiopathology fields. A Matlab implementation of the proposed tool is available online. [Figure not available: see fulltext.]
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-01-01 |