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[Allostasis and Homeostasis: Dynamic Adaptive Systems from a Neurophysiological Perspective]
1Department of Physiology, Tohoku University School of Medicine.
Brain and Nerve = Shinkei Kenkyu No Shinpo
|November 8, 2023
Summary
Allostasis, a predictive physiological principle, dynamically adjusts internal setpoints for efficient control. New findings expand allostasis to integrate cognitive, somatic, and autonomic nervous systems for adaptation.
Area of Science:
- Physiology
- Neuroscience
- Systems Biology
Context:
- Homeostasis maintains a stable internal environment.
- Allostasis represents a predictive control mechanism with dynamic setpoints.
- Neuroscience advances are refining the understanding of allostasis.
Purpose:
- To introduce new findings in allostasis.
- To broaden the concept of allostasis.
- To explore the inter-regulation of nervous systems through allostasis.
Summary:
- Allostasis involves predictive control, adjusting physiological setpoints for optimal function.
- This principle is increasingly understood through advances in neuroscience.
- The concept is expanded to encompass the integration of cognitive, somatic, and autonomic nervous systems.
Impact:
- Provides a broader framework for understanding biological adaptation.
- Highlights the dynamic nature of physiological regulation.
- Offers insights into the inter-regulatory mechanisms of the nervous system.
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