G. Ebersbach et al., Comparative analysis of gait in Parkinson's disease, cerebellar ataxia andsubcortical arteriosclerotic encephalopathy, BRAIN, 122, 1999, pp. 1349-1355
Quantitative gait analysis has been used to elucidate characteristic featur
es of neurological gait disturbances. Although a number of studies compared
single patient groups with controls, there are only a few studies comparin
g gait parameters between patients with different neurological disorders af
fecting gait. In the present study, gait parameters were compared between c
ontrol subjects, patients with parkinsonian gait due to idiopathic Parkinso
n's disease, subjects suffering from cerebellar ataxia and patients with ga
it disturbance due to subcortical arteriosclerotic encephalopathy, In addit
ion to recording of baseline parameters during preferred walking velocity,
subjects were required to vary velocity from very slow to very fast. Values
of velocity and stride length from each subject were then used for linear
regression analysis. Whereas all patient groups showed slower walking veloc
ity and reduced step length compared with healthy controls when assessed du
ring preferred walking, patients with ataxia and subcortical arteriosclerot
ic encephalopathy had, in addition, increased variability of amplitude and
timing of steps. Regression analysis showed that with changing velocity, su
bjects with Parkinson's disease changed their stride length in the same pro
portion as that measured in controls. In contrast, patients with ataxia and
subcortical arteriosclerotic encephalopathy bad a disproportionate contrib
ution of stride length when velocity was increased. Whereas the findings in
patients with Parkinson's disease can be explained as a reduction of force
gain, the observations for patients with ataxia and subcortical arterioscl
erotic encephalolpathy reflect an altered spatiotemporal gait strategy in o
rder to compensate for instability. The similarity of gait disturbance in s
ubcortical arteriosclerotic encephalopathy and cerebellar ataxia suggests c
ommon mechanisms.