脑机接口对脑卒中后上肢运动功能效果的Meta分析

doi:10.3969/j.issn.1006-9771.2021.07.005

《中国康复理论与实践》 ›› 2021, Vol. 27 ›› Issue (7): 765-773.doi: 10.3969/j.issn.1006-9771.2021.07.005

脑机接口对脑卒中后上肢运动功能效果的Meta分析

李玲玲¹,于莹²,贾雨琦¹,黄海量¹()

1.山东中医药大学康复医学院,山东济南市 250355
2.山东中医药大学中医学院,山东济南市 250355

收稿日期:2021-01-14 修回日期:2021-03-31 出版日期:2021-07-25 发布日期:2021-07-28
通讯作者: 黄海量 E-mail:06000031@sdutcm.edu.cn
作者简介:李玲玲(1997-),女,汉族,河北邯郸市人,硕士研究生,主要研究方向：中西医康复技术实践与循证评价研究。|黄海量(1975-),男,汉族,博士,教授,硕士研究生导师,主要研究方向：中西医康复技术循证评价研究。
基金资助:
1.山东省名老中医药专家刘昭纯传承工作室建设项目;2.山东省中医药科技发展计划项目(2015-030);3.山东中医药大学科研创新优秀团队项目(220316)

Effect of Brain-computer Interface on Upper-limb Motor Function after Stroke: A Meta-analysis

LI Ling-ling¹,YU Ying²,JIA Yu-qi¹,HUANG Hai-liang¹()

1. College of Rehabilitation, Shandong University of Traditional Chinese Medicine, Ji'nan, Shandong 250355, China
2. College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Ji'nan, Shandong 250355, China

Received:2021-01-14 Revised:2021-03-31 Published:2021-07-25 Online:2021-07-28
Contact: HUANG Hai-liang E-mail:06000031@sdutcm.edu.cn
Supported by:
Shandong Traditional Chinese Medicine Famous Expert Liu Zhao-chun Inheritance Studio;Shandong Traditional Chinese Medicine Science and Technology Development Planning(2015-030);Shandong University of Traditional Chinese Medicine Research and Innovation Outstanding Team(220316)

摘要/Abstract

摘要：

目的系统评价脑机接口(BCI)对脑卒中患者上肢运动功能的康复疗效,并比较不同BCI的疗效差异。

方法检索PubMed、Embase、Cochrane Library、Web of Science、CNKI、Wanfang Data和CBM数据库,搜集关于BCI改善脑卒中患者上肢运动功能的随机对照试验,检索时限从建库至2020年10月。按照Cochrane系统评价手册对纳入文献进行质量评价并提取数据,采用RevMan 5.3和ADDIS 1.16.8软件进行统计分析。

结果最终纳入14篇文献,共504例患者。Meta分析显示,BCI可提高Fugl-Meyer评定量表上肢部分(FMA-UE)评分(MD = 6.81, 95%CI 1.51~12.11,P < 0.05)、上肢动作研究量表评分(MD = 7.68, 95%CI 0.49~14.88, P < 0.05)和改良Barthel指数评分(MD = 8.91, 95%CI 5.57~12.25, P < 0.001)。亚组分析显示,BCI干预超过4周(MD = 9.44, 95%CI 1.83~17.04, P < 0.05)或不足4周(MD = 5.18, 95%CI 2.84~7.51, P < 0.001)均可提高FMA-UE评分。不同驱动设备BCI对FMA-UE评分最佳效果的网状Meta分析概率排序为电刺激仪(P = 0.53)、视觉反馈(P = 0.41)和机器辅助(P = 0.06)。

结论 BCI能改善脑卒中患者上肢运动功能和日常生活活动能力,以驱动设备为电刺激仪的BCI效果最好。

关键词: 脑卒中, 脑机接口, 上肢, 运动, Meta分析

Abstract:

Objective To systematically evaluate the effect of brain-computer interface (BCI) on upper-limb motor function after stroke, and compare the effects under different interfaces.

Methods Randomized controlled trials (RCTs) about BCI for upper-limb motor function after stroke were retrieved from databases of PubMed, Embase, Cochrane Library, Web of Science, CNKI, Wanfang Data and CBM, from inception to October, 2020. The quality of the trials was assessed and the data were extracted according to the Cochrane Handbook of Systematic Review. A meta-analysis was carried out with RevMan 5.3 and ADDIS 1.16.8.

Results Ultimately, 14 RCTs involving 504 patients were included. Meta-analysis showed that BCI could obviously improve the Fugl-Meyer Assessment-Upper Extremities (FMA-UE) score (MD = 6.81, 95%CI 1.51 to 12.11,P < 0.05), Action Research Arm Test score (MD = 7.68, 95%CI 0.49 to 14.88, P < 0.05) and modified Barthel Index score (MD = 8.91, 95%CI 5.57 to 12.25, P < 0.001) after stroke. Subgroup analysis showed that FMA-UE score could be improved by BCI for both more than four weeks (MD = 9.44, 95%CI 1.83 to 17.04, P < 0.05) and less than four weeks (MD = 5.18, 95%CI 2.84 to 7.51, P < 0.001). For the types of interface, the probabilities of the best effects from network meta-analysis ranked as electrical stimulator (P = 0.53), visual feedback (P = 0.41) and machine assistance (P = 0.06).

Conclusion BCI, especially with electrical stimulator interface, could obviously improve upper-limb motor function and activities of daily living for stroke patients.

Key words: stroke, brain-computer interface, upper limb, motor, meta-analysis

中图分类号:

R743.3[文献标识码]A

李玲玲,于莹,贾雨琦,黄海量. 脑机接口对脑卒中后上肢运动功能效果的Meta分析[J]. 《中国康复理论与实践》, 2021, 27(7): 765-773.

LI Ling-ling,YU Ying,JIA Yu-qi,HUANG Hai-liang. Effect of Brain-computer Interface on Upper-limb Motor Function after Stroke: A Meta-analysis[J]. 《Chinese Journal of Rehabilitation Theory and Practice》, 2021, 27(7): 765-773.

图/表 10

图1

表1

纳入文献的基本信息"

研究	国家	n (E/C)	年龄 (岁, E/C)	病程 (E/C)	干预措施		干预时间	干预周期	驱动设备	结局指标
研究	国家	n (E/C)	年龄 (岁, E/C)	病程 (E/C)	E	C	干预时间	干预周期	驱动设备	结局指标
Ang等2015^[13]	新加坡	11/14	(48.50±13.50)/(53.60±9.50)	(383.00±290.80) d/(234.70±183.80) d	BCI+常规康复训练	伪BCI+常规康复训练	90 min/d,3 d/周	4周	机器辅助设备	①
Biasiucci等2018^[14]	瑞士	14/13	(56.36±9.91)/(59.00±12.36)	(39.79±45.90)个月/(33.46±30.51)个月	BCI+常规康复训练	伪BCI+常规康复训练	60 min/d,2 d/周	5周	电刺激仪	①
Chen等2020^[15]	中国	7/7	(41.60±12.00)/(52.00±11.10)	(3.10±1.70)个月/(3.90±1.50)个月	BCI+常规康复训练	伪BCI+常规康复训练	3次/周	4周	机器辅助设备	①
Frolov等2017^[16]	俄罗斯	55/19	(56.93±12.94)/(59.08±12.01)	(8.35±6.85)个月/(7.28±9.61)个月	BCI+常规康复训练	伪BCI+常规康复训练	30 min/d,3 d/周	4周	机器辅助设备	①②
Kim等2016^[17]	美国	15/15	(59.07±8.07)/(59.93±9.79)	(8.27±1.98)个月/(7.80±1.78)个月	BCI+常规康复训练	常规康复训练	30 min/d,5 d/周	4周	电刺激仪	①④
Lee等2020^[18]	韩国	13/13	(55.15±11.57)/(58.30±9.19)	(7.46±1.61)个月/(8.30±1.97)个月	BCI+常规康复训练	伪BCI+常规康复训练	30 min/d,5 d/周	4周	电刺激仪	①③④
Mihara等2013^[19]	日本	10/10	(56.10±7.90)/(60.10±8.50)	(146.60±36.20) d/(123.40±38.30) d	BCI+常规康复训练	伪BCI+常规康复训练	20 min/d,3 d/周	2周	视觉反馈装置	①②
Pichiorri等2015^[20]	意大利	14/14	(64.10±8.40)/(59.60±12.70)	(2.70±1.70)个月/ (2.5±1.20)个月	BCI+常规康复训练	伪BCI+常规康复训练	30 min/d,3 d/周	4周	视觉反馈装置	①
任海等2020^[21]	中国	30/30	(41.77±8.65)/(40.70±8.15)	(32.85±4.99) d/ (33.85±3.73) d	BCI+常规康复训练	常规康复训练	40 min/d,5 d/周	4周	机器辅助设备	①③④
向宪文等2020^[22]	中国	47/47	(58.60±2.70)/(60.20±1.90)	(18.20±1.70) d/ (19.20±2.10) d	BCI+常规康复训练	常规康复训练	45 min/d,2周为1个疗程,疗程间休息3 d	7周	电刺激仪	①④
张洺华等2020^[23]	中国	15/15	(60.93±6.76)/(57.87±8.61)	(3.02±1.36)个月/(3.44±1.55)个月	BCI+常规康复训练	伪BCI+常规康复训练	20 min/d,5 d/周	8周	电刺激仪	①④
徐英等2018^[24]	中国	16/16	(72.43±8.56)/(76.81±9.57)	未提供	BCI+常规康复训练	伪BCI+常规康复训练	30 min/d,3 d/周	8周	电刺激仪	①④
李明芬等2012^[11]	中国	7/7	(66.29±4.89)/(66.00±6.30)	未提供	BCI+常规康复训练	常规康复训练	90 min/d,3 d/周	8周	电刺激仪	①②
梁思捷等2020^[10]	中国	15/15	(50.60±13.46)/(57.94±8.84)	(3.00±2.98)个月/(2.93±1.44)个月	BCI+常规康复训练	伪BCI+常规康复训练	30 min/d,5 d/周	4周	机器辅助设备	①④

表1

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图5

图6

图7

表2

图8

参考文献 40

[1]	王陇德, 刘建民, 杨弋, 等. 我国脑卒中防治仍面临巨大挑战—«中国脑卒中防治报告2018»概要[J]. 中国循环杂志, 2019, 34(2):105-119.
	WANG L D, LIU J M, YANG Y, et al. The prevention and treatment of stroke still face huge challenges: brief report on stroke prevention and treatment in China, 2018[J]. Chin Circ J, 2019, 34(2):105-119.
[2]	GHAZIANI E, COUPPÉ C, SIERSMA V, et al. Electrical somatosensory stimulation in early rehabilitation of arm paresis after stroke: a randomized controlled trial[J]. Neurorehabil Neural Repair, 2018, 32(10):899-912. doi: 10.1177/1545968318799496
[3]	赵亚萍. 基于肌电图检查探讨脑卒中患者脊髓运动神经元及周围神经的状况[D]. 合肥:安徽医科大学, 2019.
	ZHAO Y P. Study on the status of spinal motor neurons and peripheral nerves in stroke patients based on electromyography[D]. Hefei: Anhui Medical University, 2019.
[4]	贾杰. "中枢-外周-中枢"闭环康复:脑卒中后手功能康复新理念[J]. 中国康复医学杂志, 2016, 31(11):1180-1182.
	JIA J. Central-peripheral-central closed-loop rehabilitation: a new concept of rehabilitation of hand function after stroke[J]. Chin J Rehabil Med, 2016, 31(11):1180-1182.
[5]	贾花萍, 赵俊龙. 脑机接口技术[M]. 北京: 科学出版社, 2016: 143-146.
	JIA H P, ZHAO J L. Brain-computer Interface Technology [M]. Beijing: Science Press, 2016: 143-146.
[6]	吴琼, 任诗媛, 乐赞, 等. 脑机接口综合康复训练对亚急性期脑卒中疗效的静息态功能磁共振研究[J]. 中国康复理论与实践, 2020, 26(1):77-84.
	WU Q, REN S Y, YUE Z, et al. Brain-computer interface and comprehensive training for stroke: a resting state functional magnetic resonance imaging study[J]. Chin J Rehabil Theory Pract, 2020, 26(1):77-84.
[7]	张桃, 杨帮华, 段凯文, 等. 基于运动想象脑机接口的手功能康复系统设计[J]. 中国康复理论与实践, 2017, 23(1):4-9.
	ZHANG T, YANG B H, DUAN K W, et al. Development of hand function rehabilitation system based on motor imagery brain-computer interface[J]. Chin J Rehabil Theory Pract, 2017, 23(1):4-9.
[8]	巫嘉陵, 高忠科. 脑机接口技术及其在神经科学中的应用[J]. 中国现代神经疾病杂志, 2021, 21(1):3-8.
	WU J L, GAO Z K. Brain-computer interface technology and its applications in neuroscience[J]. Chin J Contemp Neurol Neurosurg, 2021, 21(1):3-8.
[9]	LYUKMANOV R K, AZIATSKAYA G A, MOKIENKO O A, et al. Post-stroke rehabilitation training with a brain-computer interface: a clinical and neuropsychological study[J]. Zh Nevrol Psikhiatr Im S S Korsakova, 2018, 118(8):43-51.
[10]	梁思捷, 朱玉连, 王卫宁, 等. 脑机接口技术在脑卒中患者上肢功能障碍康复中的应用[J]. 中国康复医学杂志, 2020, 35(2):185-188.
	LIANG S J, ZHU Y L, WANG W N, et al. Application of brain-computer interface technology in rehabilitation of upper limb dysfunction in stroke patients[J]. Chin J Rehabil Med, 2020, 35(2):185-188.
[11]	李明芬, 贾杰, 刘烨, 等. 基于运动想象的脑机接口康复训练对脑卒中患者上肢运动功能的影响[J]. 老年医学与保健, 2012, 18(6):347-352.
	LI M F, JIA J, LIU Y, et al. Effect of motor imagery-based brain computer interface rehabilitation training on upper limb motor function for stroke patients[J]. Geriatr Health Care, 2012, 18(6):347-352.
[12]	中华神经科学会, 中华神经外科学会. 各类脑血管疾病诊断要点[J]. 中华神经科杂志, 1996, 29(6):379-380.
	Chinese Society of Neurology, Chinese Neurosurgical Society. Diagnosis of Cerebral Vascular Diseases[J]. Chin J Neurol, 1996, 29(6):379-380.
[13]	ANG K K, CHUA K S, PHUA K S, et al. A randomized controlled trial of EEG-based motor imagery brain-computer interface robotic rehabilitation for stroke[J]. Clin EEG Neurosci, 2015, 46(4):310-320. doi: 10.1177/1550059414522229
[14]	BIASIUCCI A, LEEB R, ITURRATE I, et al. Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke[J]. Nat Commun, 2018, 9(1):2421. doi: 10.1038/s41467-018-04673-z
[15]	CHEN S G, CAO L, SHU X K, et al. Longitudinal electroencephalography analysis in subacute stroke patients during intervention of brain-computer interface with exoskeleton feedback[J]. Front Neurosci, 2020, 14:809. doi: 10.3389/fnins.2020.00809
[16]	FROLOV A A, MOKIENKO O, LYUKMANOV R, et al. Post-stroke rehabilitation training with a motor-imagery-based brain-computer interface (BCI)-controlled hand exoskeleton: a randomized controlled multicenter trial[J]. Front Neurosci, 2017, 11:400. doi: 10.3389/fnins.2017.00400
[17]	KIM T, KIM S, LEE B. Effects of action observational training plus brain-computer interface-based functional electrical stimulation on paretic arm motor recovery in patient with stroke: a randomized controlled trial[J]. Occup Ther Int, 2016, 23(1):39-47. doi: 10.1002/oti.1403
[18]	LEE S H, KIM S S, LEE B H. Action observation training and brain-computer interface controlled functional electrical stimulation enhance upper extremity performance and cortical activation in patients with stroke: a randomized controlled trial[J]. [ahead of print]. Physiother Theory Pract, 2020: 1-9. doi: 10.1080/09593985.2020.1831114.
[19]	MIHARA M, HATTORI N, HATAKENAKA M, et al. Near-infrared spectroscopy-mediated neurofeedback enhances efficacy of motor imagery-based training in poststroke victims: a pilot study[J]. Stroke, 2013, 44(4):1091-1098. doi: 10.1161/STROKEAHA.111.674507
[20]	PICHIORRI F, MORONE G, PETTI M, et al. Brain-computer interface boosts motor imagery practice during stroke recovery[J]. Ann Neurol, 2015, 77(5):851-865. doi: 10.1002/ana.24390
[21]	任海, 谢志明. 脑机接口技术在脑卒中偏瘫患者上肢运动功能康复治疗中的疗效观察[J]. 中国实用医药, 2020, 15(10):181-183.
	REN H, XIE Z M. Observation on efficacy of brain-computer interface technique on rehabilitation of upper limb motor function in hemiplegic stroke patients[J]. Chin Prac Med, 2020, 15(10):181-183.
[22]	向宪文, 朱家莹, 孙远标, 等. 脑机接口康复训练系统治疗缺血性脑卒中恢复期上肢功能障碍的临床研究[J]. 中国医学创新, 2020, 17(20):154-158.
	XIANG X W, ZHU J Y, SUN Y B, et al. Clinical study of brain computer interface rehabilitation training system in treatment of upper limb dysfunction during convalescence of ischemic stroke[J]. Chin Med Innov, 2020, 17(20):154-158.
[23]	张洺华. 脑机接口技术对脑卒中偏瘫患者上肢及手功能的影响[D]. 石家庄:河北师范大学, 2020.
	ZHANG M H. Effect of brain-computer interface technology on upper limb and hand function in stroke patients with hemiplegia[D]. Shijiazhuang: Hebei Normal University, 2020.
[24]	徐英, 吉艳云, 贾杰, 等. 脑-计算机接口结合功能性电刺激训练对老年脑卒中患者上肢功能和认知的疗效观察[J]. 中华老年心脑血管病杂志, 2018, 20(9):988-990.
	XU Y, JI Y Y, JIA J, et al. Effect of brain-computer interface combined with functional electrical stimulation training on upper limb function and cognition in elderly patients with stroke[J]. Chin J Geriatr Heart Brain Vessel Dis, 2018, 20(9):988-990.
[25]	BOCKBRADER M A, FRANCISCO G, LEE R, et al. Brain computer interfaces in rehabilitation medicine[J]. PM R, 2018, 10(9):233-243. doi: 10.1016/S1934-1482(18)30028-5
[26]	KHAN M A, DAS R, IVERSEN H K, et al. Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: from designing to application[J]. Comput Biol Med, 2020, 123:103843. doi: 10.1016/j.compbiomed.2020.103843
[27]	PICHIORRI F, MATTIA D. Brain-computer interfaces in neurologic rehabilitation practice[J]. Handb Clin Neurol, 2020, 168:101-116.
[28]	陈树耿, 贾杰. 脑机接口在脑卒中手功能康复中的应用进展[J]. 中国康复理论与实践, 2017, 23(1):23-26.
	CHEN S G, JIA J. Application of brain-computer interface in rehabilitation of hand function after stroke[J]. Chin J Rehabil Theory Pract, 2017, 23(1):23-26.
[29]	姜荣荣, 陈艳, 潘翠环. 脑卒中后上肢和手运动功能康复评定的研究进展[J]. 中国康复理论与实践, 2015, 21(10):1173-1177.
	JIANG R R, CHEN Y, PAN C H. Advance in assessment of upper limb and hand motor function in patients after stroke[J]. Chin J Rehabil Theory Pract, 2015, 21(10):1173-1177.
[30]	林淑芳, 徐颖, 叶晓倩, 等. 脑卒中上肢运动功能评价量表在康复中的应用[J]. 中国康复, 2015, 30(6):424-427.
	LIN S F, XU Y, YE X Q, et al. Application of upper limb motor function evaluation scale after stroke in rehabilitation[J]. Chin J Rehabil, 2015, 30(6):424-427.
[31]	陈善佳, 周小炫, 方云华, 等. 日常生活活动能力量表在脑卒中康复临床使用情况的调查[J]. 中国康复医学杂志, 2014, 29(11):1044-1049.
	CHEN S J, ZHOU X X, FANG Y H, et al. An investigation on the clinical application of activities of daily living scale in stroke rehabilitation in China[J]. Chin J Rehabil Med, 2014, 29(11):1044-1049.
[32]	KRUSE A, SUICA Z, TAEYMANS J, et al. Effect of brain-computer interface training based on non-invasive electroencephalography using motor imagery on functional recovery after stroke: a systematic review and meta-analysis[J]. BMC Neurol, 2020, 20(1):385. doi: 10.1186/s12883-020-01960-5
[33]	CERVERA M A, SOEKADAR S R, USHIBA J, et al. Brain-computer interfaces for post-stroke motor rehabilitation: a meta-analysis[J]. Ann Clin Transl Neurol, 2018, 5(5):651-663. doi: 10.1002/acn3.2018.5.issue-5
[34]	ANG K K, GUAN C, PHUA K S, et al. Brain-computer interface-based robotic end effector system for wrist and hand rehabilitation: results of a three-armed randomized controlled trial for chronic stroke[J]. Front Neuroeng, 2014, 7:30.
[35]	江滨. 脑卒中后并发症流行特征分析及对基层管理优化建议[J]. 中国全科医学, 2021, 24(12):1445-1453.
	JIANG B. Analysis of the epidemiological characteristics of post-stroke complications and suggestions for the optimization of grass-roots management in grass-roots management system[J]. Chin Gener Pract, 2021, 24(12):1445-1453.
[36]	LI M F, LIU Y, WU Y, et al. Neurophysiological substrates of stroke patients with motor imagery-based Brain-Computer Interface training[J]. Int J Neurosci, 2014, 124(6):403-415. doi: 10.3109/00207454.2013.850082
[37]	YOUNG B M, NIGOGOSYAN Z, WALTON L M, et al. Dose-response relationships using brain-computer interface technology impact stroke rehabilitation[J]. Front Hum Neurosci, 2015, 9:361. doi: 10.3389/fpsyg.2018.00361
[38]	JOVANOVIC L I, KAPADIA N, LO L, et al. Restoration of upper limb function after chronic severe hemiplegia: a case report on the feasibility of a brain-computer interface-triggered functional electrical stimulation therapy[J]. Am J Phys Med Rehabil, 2020, 99(3):35-40.
[39]	REMSIK A, YOUNG B, VERMILYEA R, et al. A review of the progression and future implications of brain-computer interface therapies for restoration of distal upper extremity motor function after stroke[J]. Expert Rev Med Devices, 2016, 13(5):445-454. doi: 10.1080/17434440.2016.1174572
[40]	MILOSEVIC M, MARQUEZ-CHIN C, MASANI K, et al. Why brain-controlled neuroprosthetics matter: mechanisms underlying electrical stimulation of muscles and nerves in rehabilitation[J]. Biomed Eng Online, 2020, 19(1):81. doi: 10.1186/s12938-020-00824-w

驱动设备	Rank 1	Rank 2	Rank 3	Rank 4
电刺激仪	0.53	0.41	0.06	0.00
机器辅助设备	0.06	0.28	0.52	0.15
视觉反馈装置	0.41	0.29	0.17	0.12
对照组	0.00	0.02	0.25	0.72

脑机接口对脑卒中后上肢运动功能效果的Meta分析

Effect of Brain-computer Interface on Upper-limb Motor Function after Stroke: A Meta-analysis

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