Research advancements of motor imagery for motor function recovery after stroke_Journal of Biomedical Engineering

Authors：

XU Minpeng ^1,2 , Wei Ze ¹ ,  MING Dong ^1,2

1. School of Precision Instrument and Opto-electronics Engineering, TianJin University, TianJin 300072, P.R.China;
2. Academy of Medical Engineering and Translational Medicine. TianJin University, TianJin 300072, P.R.China;

Corresponding author：

Keywords：

stroke; motor imagery; theoretical model; motor function recovery

DOI：

10.7507/1001-5515.201904009

Video：

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Neurological damage caused by stroke is one of the main causes of motor dysfunction in patients, which brings great spiritual and economic burdens for society and families. Motor imagery is an important assisting method for the rehabilitation of patients after stroke, which is easy to learn with low cost and has great significance in improving the motor function and the quality of patient's life. This paper mainly summarizes the positive effects of motor imagery on post-stroke rehabilitation, outlines the physiological performance and theoretical model of motor imagery, the influencing factors of motor imagery, the scoring criteria of motor imagery and analyzes the shortcomings such as the few kinds of experimental subject, the subjective evaluation method and the low resolution of the experimental equipment in the process of rehabilitation of motor function in post-stroke patients. It is hopeful that patients with stroke will be more scientifically and effectively using motor imagery therapy.

Citation： XU Minpeng, Wei Ze, MING Dong. Research advancements of motor imagery for motor function recovery after stroke. Journal of Biomedical Engineering, 2020, 37(1): 169-173. doi: 10.7507/1001-5515.201904009 Copy

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16.	Fründt O, Schulz R, Schöttle D, et al. White matter microstructure of the human mirror neuron system is related to symptom severity in adults with autism. J Autism Dev Disord, 2018, 48(2): 417-429.
17.	Romano-Smith S, Wood G, Wright D J, et al. Simultaneous and alternate action observation and motor imagery combinations improve aiming performance. Psychol Sport Exerc, 2018, 38: 100-106.
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24.	Nakano H, Kodama T, Ukai K, et al. Reliability and validity of the Japanese version of the kinesthetic and visual imagery questionnaire (KVIQ). Brain Sci, 2018, 8(5): 79.
25.	Constantinescu M, Moore D S, Johnson S P, et al. Early contributions to infants' mental rotation abilities. Dev Sci, 2018, 21(4): e12613.
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28.	Martini R, Carter M J, Yoxon E, et al. Development and validation of the movement imagery questionnaire for children (MIQ-C). Psychol Sport Exerc, 2016, 22: 190-201.
29.	Zimmer P, Baumann F T, Oberste M, et al. Influence of personalized exercise recommendations during rehabilitation on the sustainability of objectively measured physical activity levels, fatigue, and fatigue-related biomarkers in patients with breast cancer. Integr Cancer Ther, 2018, 17(2): 306-311.
30.	Evans K C, Shea S A, Saykin A J. Functional MRI localisation of central nervous system regions associated with volitional inspiration in humans. J Physiol, 1999, 520(2): 383-392.
31.	O’Mara E M, Kunz B R, Receveur A, et al. Is self-promotion evaluated more positively if it is accurate? Reexamining the role of accuracy and modesty on the perception of self-promotion. Self and Identity, 2019, 18(4): 405-424.
32.	Kleynen M, Wilson M R, Jie Lijuan, et al. Exploring the utility of analogies in motor learning after stroke: a feasibility study. Int J Rehabil Res, 2014, 37(3): 277-280.
33.	Scott M, Taylor S, Chesterton P, et al. Motor imagery during action observation increases eccentric hamstring force: an acute non-physical intervention. Disabil Rehabil, 2018, 40(12): 1443-1451.
34.	Yeh T T, Chang Kuchou, Wu C Y, et al. Effects and mechanism of the HECT study (hybrid exercise-cognitive trainings) in mild ischemic stroke with cognitive decline: fMRI for brain plasticity, biomarker and behavioral analysis. Contemp Clin Trials, 2018, 9: 164-171.

1. 曾将荣. 脑卒中偏瘫患者康复护理介入时机的研究进展. 实用临床护理学电子杂志, 2018, 3(06): 185.
2. Yan Ruyu, Zhang Yong, Lim J, et al. The effect and biomechanical mechanisms of intradermal needle for post-stroke hemiplegia recovery: study protocol for a randomized controlled pilot trial. Medicine, 2018, 97(16): e0448.
3. Papadelis C, Butler E E, Rubenstein M, et al. Reorganization of the somatosensory cortex in hemiplegic cerebral palsy associated with impaired sensory tracts. Neuroimage Clin, 2018, 17: 198-212.
4. 穆思雨, 许敏鹏, 何峰, 等. 经颅电刺激在卒中后运动康复领域的研究进展. 中国生物医学工程学报, 2018, 37(1): 106-111.
5. Li Fang, Zhang Tong, Li Bingjie, et al. Motor imagery training induces changes in brain neural networks in stroke patients. Neural Regeneration Research, 2018, 13(10): 1771-1781.
6. Byrd E M, Jablonski R J, Vance D E. Understanding anosognosia for hemiplegia after stroke. Rehabil Nurs, 2018.
7. Tacchino A, Saiote C, Brichetto G, et al. Motor imagery as a function of disease severity in multiple sclerosis: an fMRI study. Front Hum Neurosci, 2017, 11: 628.
8. Bönstrup M, Schulz R, Schön G, et al. Parietofrontal network upregulation after motor stroke. Neuroimage Clin, 2018, 18: 720-729.
9. Braun N, Kranczioch C, Liepert J, et al. Motor imagery impairment in postacute stroke patients. Neural Plast, 2017: 4653256.
10. Nakagawa K, Masugi Y, Saito A, et al. Influence of motor imagery on spinal reflex excitability of multiple muscles. Neurosci Lett, 2018, 668: 55-59.
11. Tong Yanna, Pendy J T, Li W A, et al. Motor imagery-based rehabilitation: potential neural correlates and clinical application for functional recovery of motor deficits after stroke. Aging Dis, 2017, 8(3): 364-371.
12. Simpson E K, Ramirez N M, Branstetter B, et al. Occupational therapy practitioners' perspectives of mental health practices with clients in stroke rehabilitation. OTJR (Thorofare N J), 2018, 38(3): 181-189.
13. Foysal K M R, Baker S N. A hierarchy of corticospinal plasticity in human hand and forearm muscles. The Journal of physiology, 2019, 597(10): 2729-2739.
14. Park S W, Kim J H, Yang Y J. Mental practice for upper limb rehabilitation after stroke: a systematic review and meta-analysis. Int J Rehabil Res, 2018, 41(3): 197-203.
15. Kim H, Yoo E Y, Jung M Y, et al. The effects of mental practice combined with modified constraint-induced therapy on corticospinal excitability, movement quality, function, and activities of daily living in persons with stroke. Disabil Rehabil, 2018, 40(20): 2449-2457.
16. Fründt O, Schulz R, Schöttle D, et al. White matter microstructure of the human mirror neuron system is related to symptom severity in adults with autism. J Autism Dev Disord, 2018, 48(2): 417-429.
17. Romano-Smith S, Wood G, Wright D J, et al. Simultaneous and alternate action observation and motor imagery combinations improve aiming performance. Psychol Sport Exerc, 2018, 38: 100-106.
18. Myers P S, Mcneely M E, Pickett K A, et al. Effects of exercise on gait and motor imagery in people with Parkinson disease and freezing of gait. Parkinsonism Relat Disord, 2018, 53: 89-95.
19. Sihvonen A J, Särkämö T, Leo V, et al. Music-based interventions in neurological rehabilitation. The Lancet Neurology, 2017, 16(8): 648-660.
20. Särkämö T. Cognitive, emotional, and neural benefits of musical leisure activities in aging and neurological rehabilitation: a critical review. Ann Phys Rehabil Med, 2018, 61(6): 414-418.
21. Prochazka A. Motor neuroprostheses. Compr Physiol, 2018, 9(1): 127-148.
22. Gregg M, Hall C, Butler A. The MIQ-RS: a suitable option for examining movement imagery ability. Evid Based Complement Alternat Med, 2010, 7(2): 249-257.
23. Lo Monaco M R, Laudisio A, Fusco D, et al. Laterality in parkinson's disease may predict motor and visual imagery abilities. Funct Neurol, 2018, 33(2): 106-111.
24. Nakano H, Kodama T, Ukai K, et al. Reliability and validity of the Japanese version of the kinesthetic and visual imagery questionnaire (KVIQ). Brain Sci, 2018, 8(5): 79.
25. Constantinescu M, Moore D S, Johnson S P, et al. Early contributions to infants' mental rotation abilities. Dev Sci, 2018, 21(4): e12613.
26. Rutherford T, Karamarkovich S M, Lee D S. Is the spatial/math connection unique? Associations between mental rotation and elementary mathematics and English achievement. Learning and Individual Differences, 2018, 62: 180-199.
27. Liepert J, Büsching I, Sehle A, et al. Mental chronometry and mental rotation abilities in stroke patients with different degrees of sensory deficit. Restor Neurol Neurosci, 2016, 34(6): 907-914.
28. Martini R, Carter M J, Yoxon E, et al. Development and validation of the movement imagery questionnaire for children (MIQ-C). Psychol Sport Exerc, 2016, 22: 190-201.
29. Zimmer P, Baumann F T, Oberste M, et al. Influence of personalized exercise recommendations during rehabilitation on the sustainability of objectively measured physical activity levels, fatigue, and fatigue-related biomarkers in patients with breast cancer. Integr Cancer Ther, 2018, 17(2): 306-311.
30. Evans K C, Shea S A, Saykin A J. Functional MRI localisation of central nervous system regions associated with volitional inspiration in humans. J Physiol, 1999, 520(2): 383-392.
31. O’Mara E M, Kunz B R, Receveur A, et al. Is self-promotion evaluated more positively if it is accurate? Reexamining the role of accuracy and modesty on the perception of self-promotion. Self and Identity, 2019, 18(4): 405-424.
32. Kleynen M, Wilson M R, Jie Lijuan, et al. Exploring the utility of analogies in motor learning after stroke: a feasibility study. Int J Rehabil Res, 2014, 37(3): 277-280.
33. Scott M, Taylor S, Chesterton P, et al. Motor imagery during action observation increases eccentric hamstring force: an acute non-physical intervention. Disabil Rehabil, 2018, 40(12): 1443-1451.
34. Yeh T T, Chang Kuchou, Wu C Y, et al. Effects and mechanism of the HECT study (hybrid exercise-cognitive trainings) in mild ischemic stroke with cognitive decline: fMRI for brain plasticity, biomarker and behavioral analysis. Contemp Clin Trials, 2018, 9: 164-171.

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Research advancements of motor imagery for motor function recovery after stroke

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