不同镜像神经元训练策略下脑与肌肉的活动特征：基于近红外光谱与表面肌电图技术

doi:10.3969/j.issn.1006-9771.2023.07.007

Abstract

Abstract:

Objective To explore the neuromuscular control mechanism of training strategies based on mirror neuron system (MNS): action observation (AO), action execution (AE) and action imitation (AO+AE) using functional Near Infrared Spectroscopy (fNIRS) and surface electromyography (sEMG).

Methods From July, 2022 to February, 2023, 64 healthy adults were asked to finish four tasks: watching landscape video (control), watching landscape video and acting right wrist and hand extension (AE), watching right wrist and hand extension video (AO), and watching right wrist and hand extension video and acting right wrist and hand extension (AO+AE). A block design was adopted, five times a task in a block, eight cycles, random orders in videos and tasks. The activation of each channel and regions of interest (ROI, namely BA40, BA44, BA45, BA46, BA6 and BA7) in left MNS regions was detected with fNIRS synchronously, as well as the average electromyography (AEMG) of extensor digitorum and extensor carpi radialis with sEMG.

Results Compared with the control condition, MNS activated in AO, AE and AO+AE conditions, and the intensities mildly increased in turn. Compared with the control condition, 15 channels activated in AO condition, 15 channels activated in AE condition, and all 20 channels activated in AO+AE condition; and the activation intensities of most channels were AO+AE > AE > AO. Four ROI, BA40, BA46, BA6 and BA7, activated in AO condition, all the six ROI activated in AE and AO+AE conditions, and the activation intensities of most ROI were AO+AE > AE > AO. The standardized AEMG of extensor digitorum and extensor carpi radialis were higher in AO+AE condition than in AE condition (|t| > 4.24, P < 0.001).

Conclusion MNS has been activated during action observation, execution and imitation, and the ranges and intensities of activation increase in turn. The target muscles activate more during imitation than during execution. Synchronous application of fNIRS and sEMG is feasible in the study of neural mechanism of rehabilitation strategies based on mirror neuron theory.

Key words: mirror neuron, functional near infrared spectroscopy, surface electromyography, motor function, neural mechanism

CLC Number:

R742

CUI Yao, CONG Fang, HUANG Fubiao, ZENG Ming, YAN Ruxiu. Brain and muscle activation under mirror neuron-based training strategies: a near-infrared spectroscopy and surface electromyography study[J]. 《Chinese Journal of Rehabilitation Theory and Practice》, 2023, 29(7): 782-790.

Figures/Tables 14

References 34

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变量	统计量	变量	统计量
性别/n		身高/m	1.69±0.08
男	32	体质量指数/(kg·m^-2)	23.49±3.81
女	32	体质量指数分级/n
年龄/岁	28.50±9.78	低体质量	5
民族/n		肥胖	5
汉族	61	肥胖前期	22
维吾尔族	3	正常体质量	32
体质量/kg	67.48±14.47

通道	X	Y	Z	通道	X	Y	Z
S1-D1	-40.028	82.122	29.995	S4-D6	-64.562	-23.221	46.414
S1-D2	-55.094	68.108	24.682	S5-D6	-72.278	-37.100	25.118
S1-D3	-53.044	50.848	42.793	S6-D5	-31.636	-28.475	71.383
S2-D2	-69.006	52.147	12.293	S6-D6	-47.704	-45.059	55.802
S2-D3	-67.058	34.678	30.363	S6-D7	-11.015	-49.032	71.726
S3-D3	-43.666	32.288	59.292	S6-D8	-28.389	-63.383	55.839
S3-D4	-10.188	31.269	75.013	S7-D6	-58.204	-56.894	34.052
S3-D5	-30.482	11.346	73.230	S7-D8	-38.971	-75.034	34.184
S4-D3	-62.067	14.253	48.546	S8-D7	8.628	-65.081	61.791
S4-D5	-49.037	-6.785	62.588	S8-D8	-8.732	-78.971	45.761

通道	β	SE	t值	q值	通道	β值	SE	t值	q值	通道	β值	SE	t值	q值
S1-D2	1.59	0.61	2.61	0.017	S4-D5	3.24	0.82	3.97	< 0.001	S6-D8	3.52	0.76	4.64	< 0.001
S1-D3	2.55	0.92	2.78	0.011	S4-D6	3.82	0.86	4.46	< 0.001	S7-D6	3.63	1.24	2.93	0.007
S2-D3	1.78	0.72	2.47	0.025	S5-D6	2.91	0.82	3.56	< 0.001	S7-D8	4.20	0.98	4.28	< 0.001
S3-D5	3.58	0.96	3.73	< 0.001	S6-D5	4.66	0.99	4.72	< 0.001	S8-D7	4.80	1.09	4.40	< 0.001
S4-D3	2.35	0.84	2.79	0.011	S6-D6	2.18	0.90	2.41	0.028	S8-D8	2.65	1.18	2.25	0.041

通道	β值	SE	t值	q值	通道	β值	SE	t值	q值	通道	β值	SE	t值	q值
S1-D1	3.17	0.88	3.62	< 0.001	S3-D4	3.27	0.79	4.16	< 0.001	S5-D6	3.38	0.81	4.16	< 0.001
S1-D2	2.41	0.61	3.97	< 0.001	S3-D5	5.26	0.95	5.51	< 0.001	S7-D6	6.31	1.24	5.10	< 0.001
S1-D3	4.20	0.91	4.61	< 0.001	S4-D3	6.98	0.83	8.38	< 0.001	S7-D8	6.41	0.98	6.57	< 0.001
S2-D3	5.55	0.70	7.90	< 0.001	S4-D5	7.24	0.80	9.02	< 0.001	S8-D7	6.70	1.09	6.14	< 0.001
S3-D3	4.72	0.83	5.69	< 0.001	S4-D6	6.57	0.85	7.70	< 0.001	S8-D8	4.84	1.18	4.09	< 0.001

通道	β值	SE	t值	q值	通道	β值	SE	t值	q值	通道	β值	SE	t值	q值	通道	β值	SE	t值	q值
S1-D1	4.49	0.87	5.18	< 0.001	S3-D3	7.17	0.84	8.59	< 0.001	S4-D6	6.59	0.85	7.72	< 0.001	S6-D8	3.74	0.76	4.91	< 0.001
S1-D2	3.01	0.61	4.95	< 0.001	S3-D4	5.60	0.79	7.10	< 0.001	S5-D6	6.09	0.81	7.51	< 0.001	S7-D6	6.84	1.23	5.56	< 0.001
S1-D3	3.86	0.92	4.22	< 0.001	S3-D5	5.63	0.95	5.91	< 0.001	S6-D5	6.14	0.99	6.22	< 0.001	S7-D8	7.88	0.98	8.01	< 0.001
S2-D2	2.77	0.80	3.46	0.001	S4-D3	6.51	0.83	7.86	< 0.001	S6-D6	5.08	0.90	5.68	< 0.001	S8-D7	6.72	1.09	6.18	< 0.001
S2-D3	6.84	0.70	9.73	< 0.001	S4-D5	8.84	0.82	10.73	< 0.001	S6-D7	2.76	0.81	3.41	0.002	S8-D8	5.50	1.19	4.63	< 0.001

Brain and muscle activation under mirror neuron-based training strategies: a near-infrared spectroscopy and surface electromyography study

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ROI	β值	SE	t值	q值
BA40	3.30	0.57	5.80	< 0.001
BA46	1.84	0.58	3.16	0.003
BA6	2.07	0.51	4.07	< 0.001
BA7	3.42	0.58	5.88	< 0.001

ROI	β值	SE	t值	q值
BA40	4.93	0.57	8.71	< 0.001
BA44	3.43	0.59	5.85	< 0.001
BA45	2.23	0.54	4.12	< 0.001
BA46	2.95	0.58	5.06	< 0.001
BA6	5.40	0.50	10.88	< 0.001
BA7	3.16	0.58	5.48	< 0.001

肌肉	AE	AO+AE	t值	P值
桡侧腕伸肌	11.02±8.11	20.28±9.98	-5.76	< 0.001
指伸肌	20.16±12.24	30.05±14.11	-4.24	< 0.001

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