What is it about?
Our heart rate and blood pressure are continuously regulated by two branches of the autonomic nervous system: the sympathetic and parasympathetic systems. These branches can work in several different ways, such as changing in opposite directions, changing together, or allowing one branch to act independently. We developed a computational model that combines the autonomic, cardiovascular, and respiratory systems to examine these patterns of regulation. We then compared the model’s predictions with heart rate and blood pressure data from typically developing people and autistic people during a head-up tilt test, in which the body is moved from a lying to an upright position. The model also examined how different breathing patterns may influence blood pressure recovery.
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Why is it important?
Most previous studies have described autonomic regulation mainly in terms of whether sympathetic or parasympathetic activity is higher. Our model goes further by examining how the two branches coordinate with each other and how strongly each branch affects heart rate and blood pressure. The results suggest that typically developing people show clearer changes between different autonomic control patterns, while autistic people show less differentiated patterns and relatively persistent parasympathetic involvement during postural challenge. The simulations also suggest that deep breathing may support blood pressure stabilization, particularly when sympathetic activity is excessive. This framework may help researchers interpret measurable cardiovascular signals in terms of underlying autonomic mechanisms and may eventually support more personalized physiological assessment and regulation strategies.
Perspectives
This study reflects my interest in understanding not only whether autonomic regulation succeeds, but also how the sympathetic and parasympathetic systems work together to achieve that regulation. By integrating cardiovascular, respiratory, and autonomic processes in a single computational framework, I hoped to provide a clearer connection between measurable signals, such as heart rate and blood pressure, and the hidden regulatory processes that generate them. I believe this approach may help explain why similar observable physiological responses can arise from different autonomic strategies. In the future, I hope to extend the model to individual-level data, additional physiological signals, and a wider range of physical and psychological conditions, with the long-term goal of supporting personalized understanding of interoceptive and autonomic regulation.
Ph.D. Ruichen Li
International Research Center for Neurointelligence (IRCN), The University of Tokyo
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This page is a summary of: Interoceptive autonomic regulation in typical development and autism spectrum disorder: A computational model integrating multiple physiological systems, PLOS One, July 2026, PLOS,
DOI: 10.1371/journal.pone.0344235.
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