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Robot-assisted gait training with auditory and visual cues in Parkinson's disease: A randomized controlled trial - 12/05/22

Doi : 10.1016/j.rehab.2021.101620 
Heejae Kim a, , Eunkyung Kim a, b, , Seo Jung Yun a, Min-Gu Kang c, Hyun Iee Shin d, Byung-Mo Oh a, Han Gil Seo a,
a Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea 
b Biomedical Research Institute, Seoul National University Hospital, Seoul, South Korea 
c Department of Physical Medicine and Rehabilitation, Dong-A University College of Medicine, Busan, South Korea 
d Department of Physical Medicine and Rehabilitation, Chung-Ang University College of Medicine, Seoul, South Korea 

Corresponding author at: Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea 03080.Department of Rehabilitation MedicineSeoul National University College of Medicine, Seoul National University HospitalSeoul03080South Korea

Highlights

Comparison of the effects of gait-training strategies for Parkinson's disease.
Robot-assisted gait training and treadmill training were randomly allocated.
Gait speed on the 10-m walk test did not vary between the groups.
Cognitive dual-task interference showed a training-related group difference.
The neural mechanisms of gait improvement differed by training strategy.

Le texte complet de cet article est disponible en PDF.

Abstract

Background

Robot-assisted gait training (RAGT) may have beneficial effects on Parkinson's disease (PD); however, the evidence to date is inconsistent.

Objectives

This study compared the effects of RAGT and treadmill training (TT) on gait speed, dual-task gait performance, and changes in resting-state brain functional connectivity in individuals with PD.

Methods

In this prospective, single-center, randomized controlled trial with a parallel two-group design, 44 participants were randomly allocated to undergo 12 sessions (3 times per week for 4 weeks) of RAGT or TT. The primary outcome was gait speed on the 10-m walk test (10mWT) under comfortable walking conditions. Secondary outcomes included dual-task interference on gait speed, balance, disability scores, fear of falling, freezing of gait, and brain functional connectivity changes. All clinical outcomes were measured before (T0), immediately after (T1), and 1 month after treatment (T2).

Results

The mean (SD) age of the participants was 68.1 (8.1) years, and mean disease duration 108.0 (61.5) months. The groups did not significantly differ on the 10mWT (T0-T1, p = 0.726, Cohen's d = 0.133; T0-T2, p = 0.778, Cohen's d = 0.121). We observed a significant time-by-group interaction (F = 3.236, p = 0.045) for cognitive dual-task interference, controlling for confounders. After treatment, coupling was decreased to a greater extent with RAGT than TT between the visual and dorsal attention networks (p = 0.015), between bilateral fronto-parietal networks (p = 0.043), and between auditory and medial temporal networks (p = 0.018). Improvement in cognitive dual-task interference was positively correlated with enhanced visual and medial temporal network coupling overall (r = 0.386, p = 0.029) and with TT (r = 0.545, p = 0.024) but not RAGT (r = 0.151, p = 0.590).

Conclusions

RAGT was not superior to intensity-matched TT on improving gait functions in individuals with PD but may be beneficial in improving gait ability under cognitive dual-task conditions. The therapeutic mechanism and key functional connectivity changes associated with improvement may differ between treatment strategies.

ClinicalTrials.gov

#NCT03490578

Le texte complet de cet article est disponible en PDF.

Keywords : Parkinson's disease, Robot-assisted gait training, Cognitive dual-task interference, Independent component analysis, Resting-state functional MRI, Functional-network connectivity


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Vol 65 - N° 3

Article 101620- mai 2022 Retour au numéro
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