Non-linear analysis of stabilograms with alcoholic intake.

Area of Science:

• Neuroscience
• Biomechanics
• Systems Biology

Background:

• Alcohol consumption is known to impair cerebellar function, affecting equilibrium and postural control.
• Previous methods using statistical indices of stabilograms (body sway) were insufficient to reliably differentiate between sober and intoxicated states.
• The vestibulo-cerebellar system plays a crucial role in maintaining balance.

Purpose of the Study:

• To develop a more sensitive method for detecting alcohol's effects on postural control.
• To compare body sway patterns before and after alcohol ingestion using a novel analytical approach.
• To validate a mathematical model for body sway dynamics.

Main Methods:

• Stabilometry was used to measure the center of gravity shifts in healthy males before and after consuming diluted brandy.
• A novel 'translation error' method was applied in a d-dimensional embedding space (1 ≤ d ≤ 10) to analyze statokinesigrams.
• A stochastic differential equation was employed as a mathematical model for body sway.

Main Results:

• The 'translation error' method successfully distinguished between sober and intoxicated states, unlike previous statistical indices.
• The stochastic differential equation model confirmed that alcohol preserved randomness in body sway but significantly increased it in the medial/lateral direction.
• Alcohol intoxication appears to interfere with visual information processing in the postural control system.

Conclusions:

• The 'translation error' analysis in a d-dimensional space offers a robust method for quantifying alcohol's impact on postural stability.
• This approach provides a validated mathematical model for body sway dynamics, sensitive to alcohol-induced changes.
• The findings suggest this method is valuable for diagnosing disorders of the vestibulo-cerebellar system.