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Updated: Nov 4, 2025

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Published on: July 31, 2009
A physiological and dynamical systems model of stress
Justin Brooks1, Joshua C Crone2, Derek P Spangler3
1D-Prime, LLC, United States of America; University of Maryland, Baltimore County, Department of Computer Science and Electrical Engineering, United States of America.
This study models stress as a dynamical system, revealing that system parameters significantly influence stress responses. These parameters may explain the wide variability observed in empirical stress research.
Area of Science:
- Physiology
- Complexity Science
- Psychology
Background:
- Stress responses exhibit significant variability across individuals and time.
- Existing research has not fully characterized the underlying causes of this stress response variance.
Purpose of the Study:
- To develop and analyze a dynamical systems model of stress.
- To explore how system parameters contribute to the variability in stress responses.
Main Methods:
- Coupled a closed-loop physiological control system with a dynamic oscillator.
- Characterized the model's evolution within a physiological phase space and attractor landscape.
- Analyzed the sensitivity of the model to its controlling parameters.
Main Results:
- The dynamical system model demonstrated high sensitivity to parameter variations.
- The model successfully replicated several observed features of stress responses.
- Parameter sensitivity suggests a potential source for empirical stress variability.
Conclusions:
- Viewing stress as a dynamical system provides a framework for understanding response variability.
- Specific model parameters are likely key contributors to individual differences in stress responses.
- This approach offers new insights into the complex, nonlinear nature of stress physiology.
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