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Related Experiment Videos

Vestibulospinal adaptation to microgravity

W H Paloski1

  • 1Life Sciences Research Laboratories, NASA/Johnson Space Center, Houston, Texas 77058, USA.

Otolaryngology--Head and Neck Surgery : Official Journal of American Academy of Otolaryngology-Head and Neck Surgery
|April 3, 1998
PubMed
Summary
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Spaceflight disrupts human balance control due to altered vestibular input. A new adaptive control model explains postflight postural ataxia by predicting the central nervous system

Area of Science:

  • Neuroscience
  • Human Physiology
  • Aerospace Medicine

Background:

  • Spaceflight causes transient disruptions in human balance control, leading to postural ataxia.
  • The underlying mechanisms of postflight balance deficits remain incompletely understood.
  • Vestibulospinal adaptation is crucial for maintaining balance in altered sensory environments.

Purpose of the Study:

  • To propose and validate a conceptual model of vestibulospinal adaptation after spaceflight.
  • To investigate the neurosensory control of balance in astronauts immediately post-landing.
  • To understand how the central nervous system adapts to altered vestibular otolith information.

Main Methods:

  • Developed a conceptual model based on adaptive control theory.
Keywords:
NASA Center JSCNASA Discipline Neuroscience

Related Experiment Videos

  • Collected and analyzed balance control data from astronauts after spaceflight.
  • Assessed sensorimotor balance mechanisms under varied sensory input conditions (visual, somatosensory).

    • Main Results:

    • The conceptual model accurately describes neurobehavioral responses to spaceflight.
    • Postflight, the balance control system initially fails to anticipate gravity-induced afferent inputs.
    • Vestibulospinal control is disrupted until the central nervous system adapts to new vestibular information.

    Conclusions:

    • The adaptive control model provides a framework for understanding postflight balance recovery.
    • Similar models are needed to predict patient responses to sensorimotor challenges.
    • Clinical applications include predicting responses in patients with sensorimotor pathologies to altered sensory environments.