Effect of motor imagery-brain-computer interface training system on brain functional connectivity in subacute stroke patients with upper limb dysfunction by functional near infrared spectroscopy

doi:10.3969/j.issn.1004-583X.2025.05.008

Abstract

Abstract:

Objective To observe the effect of motor imagery-brain-computer interface (MI-BCI) training system on brain functional connectivity (FC) in patients with subacute stroke and hemiplegia by functional near infrared spectroscopy (fNIRS). Methods According to the order of admission, 24 stroke patients with upper limb hemiplegia who were treated in the Rehabilitation Medical Center of Changzhou De'an Hospital from January 2023 to January 2024 were recruited. The resting data of patients immediately after resting and MI-BCI training for 20 minutes were collected by fNIRS. Taking FC as the observation index and the oxygenated hemoglobin (HbO2) of bilateral prefrontal cortex (PFC), primary motor cortex (M1) and primary sensory cortex (S1) were selected as the regions of interest, and the differences in the overall FC strength and the FC strength in the region of interest were analyzed. Results After training, the overall FC strength was significantly higher than that of the rest state (P<0.05). The results of region-of-interest (ROI) analysis showed that the FC strength, between affected ipsilateral prefrontal cortex (iPFC) and health contralateral prefrontal cortex (cPFC), between iPFC and affected ipsilateral primary motor cortex (iM1), between iPFC and health contralateral primary motor cortex (cM1), between iM1 and cM1, between cM1 and health contralateral primary somatosensory cortex (cS1) were significantly higher than those of the resting state (P<0.05). Conclusion MI-BCI training system is helpful to regulate bilateral brain balance and induce cortical reconstruction in patients, which may be the central mechanism of its clinical effectiveness.

Key words: stroke, upper limb function, sports imagination, brain-computer interface, cortical function

CLC Number:

R743

Xu Sheng, Yang Qingqing, Zhang Min. Effect of motor imagery-brain-computer interface training system on brain functional connectivity in subacute stroke patients with upper limb dysfunction by functional near infrared spectroscopy[J]. Clinical Focus, 2025, 40(5): 428-433.

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URL: http://www.lchc.cn/EN/10.3969/j.issn.1004-583X.2025.05.008

http://www.lchc.cn/EN/Y2025/V40/I5/428

Figures/Tables 6

References 28

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组别	例数	总体FC
训练前	24	0.573±0.394
训练后	24	0.772±0.273
t值		-2.091
P值		0.042

组别	例数	总体FC
训练前	24	0.573±0.394
训练后	24	0.772±0.273
t值		-2.091
P值		0.042

组别	例数		RPFC-										RM1-
组别	例数		LPFC		RM1		LM1		RS1		LS1		LM1	RS1	LS1
训练前	24		0.391(0.148,0.620)		0.429(0.221,0.780)		0.492±0.198		0.443(0.151,0.947)		0.321(0.131,0.739)		0.671±0.439	0.711±0.490	0.518(0.271,1.040)
训练后	24		0.524(0.442,0.809)		0.662(0.462,0.987)		0.683±0.301		0.708(0.501,0.962)		0.652(0.381,0.826)		0.932±0.328	0.981±0.359	0.982(0.603,1.108)
t/Z值			-2.261		-1.939		-1.872		-1.868		-1.891		-2.301	-2.120	-1.921
P值			0.021		0.052		0.071		0.059		0.062		0.029	0.038	0.061
组别		LPFC-								LM1-					RS1-LS1
组别		RM1		LM1		RS1		LS1		RS1		LS1			RS1-LS1
训练前		0.429±0.361		0.418±0.411		0.453±0.381		0.452±0.392		0.523(0.322,1.217)		0.771±0.547			0.780±0.431
训练后		0.646±0.312		0.659±0.303		0.638±0.251		0.641±0.309		0.990(0.702,1.101)		1.009±0.452			0.949±0.311
t/Z值		-2.182		-2.337		-2.019		-1.792		-1.848		-1.531			-1.557
P值		0.032		0.023		0.051		0.079		0.058		0.131			0.130

组别	例数		RPFC-										RM1-
组别	例数		LPFC		RM1		LM1		RS1		LS1		LM1	RS1	LS1
训练前	24		0.391(0.148,0.620)		0.429(0.221,0.780)		0.492±0.198		0.443(0.151,0.947)		0.321(0.131,0.739)		0.671±0.439	0.711±0.490	0.518(0.271,1.040)
训练后	24		0.524(0.442,0.809)		0.662(0.462,0.987)		0.683±0.301		0.708(0.501,0.962)		0.652(0.381,0.826)		0.932±0.328	0.981±0.359	0.982(0.603,1.108)
t/Z值			-2.261		-1.939		-1.872		-1.868		-1.891		-2.301	-2.120	-1.921
P值			0.021		0.052		0.071		0.059		0.062		0.029	0.038	0.061
组别		LPFC-								LM1-					RS1-LS1
组别		RM1		LM1		RS1		LS1		RS1		LS1			RS1-LS1
训练前		0.429±0.361		0.418±0.411		0.453±0.381		0.452±0.392		0.523(0.322,1.217)		0.771±0.547			0.780±0.431
训练后		0.646±0.312		0.659±0.303		0.638±0.251		0.641±0.309		0.990(0.702,1.101)		1.009±0.452			0.949±0.311
t/Z值		-2.182		-2.337		-2.019		-1.792		-1.848		-1.531			-1.557
P值		0.032		0.023		0.051		0.079		0.058		0.131			0.130