Organizing sensory information for postural control in altered sensory environments

Area of Science:

• Neuroscience
• Biomechanics
• Systems Biology

Background:

• Humans maintain balance despite sensory feedback distortion.
• The nervous system integrates multisensory information into distinct "sensorimotor states" for motor control.
• The precise mechanisms of sensorimotor integration for postural control remain incompletely understood.

Purpose of the Study:

• To analyze the nervous system's strategy for distributing postural sway monitoring among sensorimotor states.
• To investigate the logical structure of transitions between these sensorimotor states.
• To test the hypothesis that a transition structure underlies balance maintenance in healthy and vestibular-impaired individuals.

Main Methods:

• Analysis of postural sway monitoring distribution as a logical transition structure between sensorimotor states.
• Specification and differentiation of the transition structure from finite state machines.
• Development of transition structures consistent with experimental postural control data.

Main Results:

• A novel transition structure model for sensorimotor coordination was proposed.
• The model was validated against experimental data from healthy subjects.
• The model demonstrated consistency with postural control in patients with peripheral vestibular disease.

Conclusions:

• The nervous system employs a transition structure to manage sensorimotor states for maintaining balance.
• This framework provides insights into how the brain adapts postural control in altered sensory environments.
• The findings contribute to understanding sensorimotor integration in both healthy and clinical populations.