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Aging and changes in complexity in the neurobehavioral system.

Benoit Rey-Robert1, Rey-Robert Benoit, Jean-Jacques Temprado

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Summary
This summary is machine-generated.

Aging research faces complexity. This study proposes a framework to analyze age-related changes in neurobehavioral system complexity, linking cognitive and sensorimotor processes using nonlinear dynamics.

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Area of Science:

  • Neuroscience
  • Aging Research
  • Complexity Science

Background:

  • Complexity is increasingly recognized in biological research, particularly in aging.
  • Understanding age-related changes in the neurobehavioral system is crucial.
  • Existing approaches often examine age-related variables domain-by-domain.

Purpose of the Study:

  • To propose a conceptual and methodological framework for studying age-related changes in neurobehavioral system complexity.
  • To explore how increased coupling between cognitive and sensorimotor processes contributes to aging.
  • To identify potential neurobehavioral markers of aging.

Main Methods:

  • Selective literature review focusing on aging, complexity, and the neurobehavioral system.
  • Application of complexity and nonlinear dynamical systems theories.
  • Analysis of covariation in high-order variables common to cognitive and sensorimotor functions.

Main Results:

  • Age-related increases in the coupling between cognitive and sensorimotor domains may be detectable.
  • High-order variables common to both domains could serve as neurobehavioral markers of aging.
  • The proposed framework offers a novel, integrated approach compared to traditional methods.

Conclusions:

  • The study provides a coherent framework and methodology for investigating age-related coupling in cognitive and sensorimotor processes.
  • This approach utilizes complexity and nonlinear dynamics to identify neurobehavioral markers of aging.
  • It offers a departure from traditional, isolated analyses of age-related variables.