The output of the human postural control system is highly irregular, even u
nder quiet-standing conditions. To describe the observed dynamics of human
posture control, we propose a simple, analytical stochastic model, consisti
ng of a pinned polymer. For such a system, there exists a fluctuation-dissi
pation theorem (FDT), which provides a linear relationship between the corr
elations of the system and its dynamical response to an external perturbing
force. We apply the FDT to the human postural control system and use it to
test the hypothesis that the system's dynamic response to a mechanical per
turbation can be predicted from the fluctuations exhibited by the system un
der quasi-static conditions. We measured the postural sway of healthy young
subjects under quiet-standing and dynamic (perturbed) conditions. We found
that the response of the postural control system to weak perturbations is
similar to the decay of the correlations obtained from quiet-standing postu
ral-sway data, We also show that the estimated correlation and response fun
ctions can be described by our model. These results demonstrate that the FD
T exists for human balance control and that postural sway can be modeled by
an equilibrium stochastic process. From a physiological standpoint, these
findings suggest that the postural control system utilizes the same neuromu
scular control mechanisms under quiet-standing and dynamic conditions. The
parameters extracted from the model can be interpreted from a physiological
standpoint and could thus be used as an assessment tool for the evaluation
of patients subsequent to pharmacological and surgical treatment. (C) 1999
Elsevier Science B.V. All rights reserved. PsycINFO classification: 2330;
2240.