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2016 ; 10
(ä): 22
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Identification of the Unstable Human Postural Control System
#MMPMID27013990
Hwang S
; Agada P
; Kiemel T
; Jeka JJ
Front Syst Neurosci
2016[]; 10
(ä): 22
PMID27013990
show ga
Maintaining upright bipedal posture requires a control system that continually
adapts to changing environmental conditions, such as different support surfaces.
Behavioral changes associated with different support surfaces, such as the
predominance of an ankle or hip strategy, is considered to reflect a change in
the control strategy. However, tracing such behavioral changes to a specific
component in a closed loop control system is challenging. Here we used the joint
input-output (JIO) method of closed-loop system identification to identify the
musculoskeletal and neural feedback components of the human postural control
loop. The goal was to establish changes in the control loop corresponding to
behavioral changes observed on different support surfaces. Subjects were
simultaneously perturbed by two independent mechanical and two independent
sensory perturbations while standing on a normal or short support surface. The
results show a dramatic phase reversal between visual input and body kinematics
due to the change in surface condition from trunk leads legs to legs lead trunk
with increasing frequency of the visual perturbation. Through decomposition of
the control loop, we found that behavioral change is not necessarily due to a
change in control strategy, but in the case of different support surfaces, is
linked to changes in properties of the plant. The JIO method is an important tool
to identify the contribution of specific components within a closed loop control
system to overall postural behavior and may be useful to devise better treatment
of balance disorders.
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