35 research outputs found

    Use of the gait deviation index for the evaluation of patients with Parkinson's disease

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    The authors aimed to determine whether the Gait Deviation Index (GDI) could be feasible to characterize gait in patients with Parkinson's disease (PD) and evaluate outcomes of levodopa treatment. Twenty-two PD participants were evaluated with clinical examination and 3-D quantitative gait analysis (GDI was calculated from gait analysis) in 2 states (OFF and ON) after taking levodopa. Twenty age-matched healthy participants (CG) were included as controls. The GDI value in the OFF state was 83.4 ± 11.5 (statistically different from CG) while clinical scales demonstrated a moderate-severe gait impairment of these patients. Significant improvements are evident from clinical scores and by GDI values in the ON state. The mean GDI for the ON state (GDI(ON): 87.9 ± 10.4) was significantly higher than in for the OFF state (GDI(OFF): 83.4 ± 11.5), indicating a global gait improvement after the treatment. The results show that GDI has lower value as an indicator of pathology in PD patients than in quantifying the effects of levodopa treatment in PD stat

    Neural activity in the basal ganglia under Parkinson's disease conditions: a modeling study

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    Robot-assisted gait training versus treadmill training in patients with Parkinson's disease: a kinematic evaluation with gait profile score

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    The purpose of this study was to quantitatively compare the effects, on walking performance, of end-effector robotic rehabilitation locomotor training versus intensive training with a treadmill in Parkinson’s disease (PD). Fifty patients with PD were randomly divided into two groups: 25 were assigned to the robot-assisted therapy group (RG) and 25 to the intensive treadmill therapy group (IG). They were evaluated with clinical examination and 3D quantitative gait analysis [gait profile score (GPS) and its constituent gait variable scores (GVSs) were calculated from gait analysis data] at the beginning (T0) and at the end (T1) of the treatment. In the RG no differences were found in the GPS, but there were significant improvements in some GVSs (Pelvic Obl and Hip Ab-Add). The IG showed no statistically significant changes in either GPS or GVSs. The end-effector robotic rehabilitation locomotor training improved gait kinematics and seems to be effective for rehabilitation in patients with mild PD

    Effects of robot assisted gait training in progressive supranuclear palsy (PSP): a preliminary report

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    Background and Purpose: Progressive supranuclear palsy (PSP) is a rare neurodegenerative disease clinically characterized by prominent axial extrapyramidal motor symptoms with frequent falls. Over the last years the introduction of robotic technologies to recover lower limb function has been greatly employed in the rehabilitative practice. This observational trial is aimed at investigating the changes in the main spatiotemporal following end-effector robot training in people with PSP. Method: Pilot observational trial. Participants: Five cognitively intact participants with PSP and gait disorders. Interventions: Patients were submitted to a rehabilitative program of robot-assisted walking sessions for 45 min, 5 times a week for 4 weeks. Main outcome measures: The spatiotemporal parameters at the beginning (T0) and at the end of treatment (T1) were recorded by a gait analysis laboratory. Results: Robot training was feasible, acceptable and safe and all participants completed the prescribed training sessions. All patients showed an improvement in the gait spatiotemporal index (Mean velocity, Cadence, Step length, and Step width) (T0 vs. T1). Conclusions: Robot training is a feasible and safe form of rehabilitation for cognitively intact people with PSP. The lack of side effects and the positive results in the gait parameter index in all patients support the recommendation to extend the trials of this treatment. Further investigation regarding the effectiveness of robot training in time is necessary. Trial registration: ClinicalTrials.gov NCT01668407
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