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1.
Chinese Journal of Physical Medicine and Rehabilitation ; (12): 815-818, 2017.
Artigo em Chinês | WPRIM | ID: wpr-665988

RESUMO

Objective To observe the effect of kinesthetic imagery and visual imagery on upper limb rehabilitation among stroke survivors.Methods Forty-five hemiplegic stroke survivors were randomly assigned into a kinesthetic imagery training group (n=14),a visual imagery training group (n=15) or a control group (n=16).In addition to conventional rehabilitation,patients in the kinesthetic and visual imagery training groups were given 30 minutes of the appropriate imagery training once a day,five days per week for four weeks,while the control group relaxed or received health education for the same time.Before and after the 4-week intervention,the upper limb section of the Fugl-Meyer assessment (FMA-UE) and the modified Barthel index (MBI) were used to evaluate the motor function of the subjects' upper limb and their ability in the activities of daily living respectively.Results Before the intervention,there were no significant differences in the average FMA-UE and MBI scores among the 3 groups.After the intervention there was no significant difference between the average FMA-UE and MBI scores of the two training groups,but both were significantly better than the control group's averages.Conclusion Either kinesthetic or visual imagery training can improve the upper limb function of stroke survivors and their abihty in the activities of daily living.Their effectiveness is not significantly different.

2.
Chinese Journal of Rehabilitation Theory and Practice ; (12): 1060-1063, 2017.
Artigo em Chinês | WPRIM | ID: wpr-606966

RESUMO

Motor imagery can be classified in several ways, and assessed with various measures. There is a set of program to perform the motor imagery therapy. There are many reasearches about the effects of motor imagery for upper limbs rehabilitation in patients after stroke. Task-based and resting-state functional MRI explore the activation of various areas and functional linkages in cerebral network.

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