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Changing complexity in human behavior and physiology through aging and disease.

David E Vaillancourt1, Karl M Newell

  • 1Department of Kinesiology, The Pennsylvania State University, University Park, PA 16802, USA. court1@uic.edu

Neurobiology of Aging
|January 5, 2002
PubMed
Summary

Aging and disease can alter physiological and behavioral system complexity, but not always in a predictable way. Changes can increase or decrease complexity, depending on system dynamics and task demands.

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Area of Science:

  • Physiology
  • Behavioral Science
  • Complexity Science

Background:

  • The prevailing view suggests aging and disease uniformly reduce physiological and behavioral system complexity.
  • This unidirectional model, proposed by Lipsitz and Goldberger, has been a cornerstone in understanding age-related changes.

Purpose of the Study:

  • To challenge the narrow, unidirectional view of complexity changes in aging and disease.
  • To explore the nuanced ways system complexity can be altered by aging and disease.

Main Methods:

  • Analysis of physiological and behavioral system dynamics.
  • Modeling the interplay between intrinsic system properties and external task demands.

Main Results:

  • System complexity can increase or decrease with aging and disease, contrary to previous assumptions.

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  • The direction of complexity change is contingent upon the specific system's intrinsic dynamics.

    • Conclusions:

    • The impact of aging and disease on system complexity is multifaceted, not solely a loss.
    • Understanding the balance between intrinsic system dynamics and task-specific demands is crucial for predicting complexity shifts.