A randomized controlled trial of motor imagery combined with structured progressive circuit class therapy on gait in stroke survivors

Bovonsunthonchai, Sunee; Aung, Nilar; Hiengkaew, Vimonwan; Tretriluxana, Jarugool

doi:10.1038/s41598-020-63914-8

Cited by 21 publications

(37 citation statements)

References 39 publications

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“…Most rehabilitation methods combine physical exercises with AO, MI, and AO+MI [ 6 – 10 ]. Moreover, there are hybrid approaches combining AO or MI with other strategies for rehabilitation in general [ 48 , 49 ]. For example, rehabilitation combining AO with dual task improved cognitive abilities in patients with Parkinson’s disease [ 48 ], while intervention of MI with structured progressive circuit class therapy increased gait ability (e.g., gait speed and stride length) in patients after stroke [ 49 ].…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, there are hybrid approaches combining AO or MI with other strategies for rehabilitation in general [ 48 , 49 ]. For example, rehabilitation combining AO with dual task improved cognitive abilities in patients with Parkinson’s disease [ 48 ], while intervention of MI with structured progressive circuit class therapy increased gait ability (e.g., gait speed and stride length) in patients after stroke [ 49 ]. Therefore, AO, MI, and AO+MI might exert a marginal effect on motor improvement in rehabilitation, though they could enhance the effects of other interventions.…”

Section: Discussionmentioning

confidence: 99%

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Effects of action observation and motor imagery of walking on the corticospinal and spinal motoneuron excitability and motor imagery ability in healthy participants

et al. 2022

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Action observation (AO) and motor imagery (MI) are used for the rehabilitation of patients who face difficulty walking. Rehabilitation involving AO, MI, and AO combined with MI (AO+MI) facilitates gait recovery after neurological disorders. However, the mechanism by which it positively affects gait function is unclear. We previously examined the neural mechanisms underlying AO and MI of walking, focusing on AO+MI and corticospinal and spinal motor neuron excitability, which play important roles in gait function. Herein, we investigated the effects of a short intervention using AO+MI of walking on the corticospinal and spinal motor neuron excitability and MI ability of participants. Twelve healthy individuals participated in this study, which consisted of a 20 min intervention. Before the experiment, we measured MI ability using the Vividness of Movement Imagery Questionnaire-2 (VMIQ-2). We used motor evoked potential and F-wave measurements to evaluate the corticospinal and spinal motor neuron excitability at rest, pre-intervention, 0 min, and 15 min post-intervention. We also measured corticospinal excitability during MI of walking and the participant’s ability to perform MI using a visual analog scale (VAS). There were no significant changes in corticospinal and spinal motor neuron excitability during and after the intervention using AO+MI (p>0.05). The intervention temporarily increased VAS scores, thus indicating clearer MI (p<0.05); however, it did not influence corticospinal excitability during MI of walking (p>0.05). Furthermore, there was no significant correlation between the VMIQ-2 and VAS scores and changes in corticospinal and spinal motor neuron excitability. Therefore, one short intervention using AO+MI increased MI ability in healthy individuals; however, it was insufficient to induce plastic changes at the cortical and spinal levels. Moreover, the effects of intervention using AO+MI were not associated with MI ability. Our findings provide information about intervention using AO+MI in healthy individuals and might be helpful in planning neurorehabilitation strategies.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Effects of action observation and motor imagery of walking on the corticospinal and spinal motoneuron excitability and motor imagery ability in healthy participants

et al. 2022

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“…Electromechanical-assisted device in this study provide repetitive training with symmetric gait motion for stroke patients. Improvement of gait symmetry was achieved after symmetrical walking training and it related to the balance [ 34 ]. We needed to investigate the quantitative gait analysis.…”

Section: Discussionmentioning

confidence: 99%

Comparison of high-intensive and low-intensive electromechanical-assisted gait training by Exowalk® in patients over 3-month post-stroke

Nam

Kwon

2022

BMC Sports Sci Med Rehabil

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Background This study was conducted to assess the effect of electromechanical-assisted gait training intensity on walking ability in patients over 3-month post-stroke. Methods Data from two randomized controlled trials (RCTs) were collected under the same study design of assessment and intervention, excluding intervention time per session. After matching the inclusion criteria of two RCTs, the experimental groups of each RCT were defined as low-intensive (LI) and high-intensive (HI) group according to the intervention time per session. Primary outcome was the difference of the change in Functional Ambulatory Categories (FAC) between LI and HI gait training. Secondary outcomes were the difference of changes in mobility, walking speed, walking capacity, leg-muscle strength, balance and daily activity evaluated with Rivermead Mobility Index (RMI), 10 m walk test (10MWT), 6-min walk test (6MWT), Motricity Index (MI), Berg Balance Scale (BBS) and Modified Barthel Index (MBI) respectively. Results The FAC improved after gait training in both groups. The secondary outcomes also improved in both groups except RMI and MI in HI group. The change of all outcomes were not different between groups except RMI. The change of RMI in the LI group was greater than that in the HI group statistically, but it did not meet minimal clinically important difference. Conclusions The improvement of walking ability after LI or HI gait training was not different if providing the same total gait training time. By providing the electromechanical gait training intensively, we could shorten the gait training period to improve walking ability and customize the training program according to the patient training abilities. Trial registration Name of the registry: Clinical Research Information Service. Trial registration number: No. KCT0002195(RCT1), No. KCT0002552(RCT2). Date of registration: 10/04/2016(RCT1), 10/05/2017(RCT2). URL of the trial registry record: https://cris.nih.go.kr/cris/search

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“…However, only a few reports have been published about an interaction between ADL and gait, that is to say, a two-way effect [17].…”

Section: Introductionmentioning

confidence: 99%

Interaction between Locomotion and Self-Care for Patients with Stroke in Severity Classification Based on the Motor Functional Independence Measure upon Admission to the Recovery Ward

Kimura¹

2020

OJTR

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Background: A correlation between self-care and gait in stroke patients has been shown. However, there are few reports suggesting an interaction between self-care and gait. Purpose: To investigate the interaction between locomotion and improvements in self-care. Participants and Methods: We retrospectively analyzed 3034 stroke patients who were registered in the Japanese Rehabilitation Database. Using their data, patients were classified into three groups (severe, moderate, slight) based on the motor functional independence measure upon admission, and data were modified as mean-centered values. We performed a correlation analysis to evaluate the relationship among all the collected data. Subsequently, a hierarchical multiple regression analysis was performed to evaluate interaction using the self-care motor score from the Functional Independent Measure (FIM) as the dependent variable. Model 1 used two independent variables (National Institutes of Health Stroke Scale and cognitive FIM score), model 2 used two independent variables (locomotion gain and gain of an item with the strongest correlation coefficient to the dependent variable), and model 3 used a mean-centering value, which was added to model 2. The simple slope was used for further analysis. Results: Locomotion showed an interaction with self-care, except in the slight group. The R 2 changes in models 1 and 2 were significant in the following: grooming, dressing lower body, and bladder management in the severe group (p < 0.01), and only dressing upper body in the moderate group (p < 0.01). Results of the simple slope analysis were significant for grooming, bowel management, and dressing lower body in the severe group and for dressing How to cite this paper: Kimura, T. (2020) Interaction between Locomotion and Self-Care for Patients with Stroke in Severity Classification Based on the Motor Functional Independence Measure upon Admission to the Recovery Ward. Open Journal of Therapy and Rehabilitation,

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A randomized controlled trial of motor imagery combined with structured progressive circuit class therapy on gait in stroke survivors

Cited by 21 publications

References 39 publications

Effects of action observation and motor imagery of walking on the corticospinal and spinal motoneuron excitability and motor imagery ability in healthy participants

Effects of action observation and motor imagery of walking on the corticospinal and spinal motoneuron excitability and motor imagery ability in healthy participants

Comparison of high-intensive and low-intensive electromechanical-assisted gait training by Exowalk® in patients over 3-month post-stroke

Interaction between Locomotion and Self-Care for Patients with Stroke in Severity Classification Based on the Motor Functional Independence Measure upon Admission to the Recovery Ward

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