基于功能连接探索卒中后失语患者的脑电脑功能网络特征

doi:10.3969/j.issn.1006-9771.2025.11.011

Abstract

Abstract:

Objective To analyze the characteristics of brain functional networks in patients with post-stroke aphasia (PSA) during a Chinese word-picture matching task.

Methods A total of 18 PSA patients in Dongzhimen Hospital from January, 2018 to December, 2021 were enrolled as PSA group, and nine healthy controls matched for sex, age and education were included as the control group. The Chinese Rehabilitation Research Center Aphasia Examination (CRRCAE) and task-state electroencephalogram (EEG) data based on a Chinese word-picture matching paradigm were collected. Source-space reconstruction was applied to EEG signals to construct functional connectivity matrices. Graph-theoretical analysis was used to compute global network properties, and network-based statistics were used to identify subnetwork differences between groups. Correlations between global network properties and CRRCAE subscales were further analyzed.

Results The global properties of each frequency band were higher in the control group (unmatched) than in PSA group and the control group (matched) (P < 0.01). Subnetworks connections enhanced in the alpha band in the frontal, temporal, parietal, occipital lobes and limbic system (23 nodes, 31 edges, P < 0.05), and weakened connections in the frontal, temporal, limbic system and basal ganglia (20 nodes, 26 edges, P < 0.01) in PSA group; in the beta band, subnetwork connections enhanced in the frontal, temporal lobes, basal ganglia and limbic system (15 nodes, 23 edges, P < 0.01); in the theta band, subnetwork connections weakened in the left frontal and temporal lobes (10 nodes, 11 edges, P < 0.05), and enhanced in the right frontal and temporal lobes (7 nodes, 7 edges, P < 0.05). Under the matched condition, the global properties of the alpha and beta bands in PSA group were positively correlated with reading (r = 0.511 to 0.650, all P < 0.05), and the local efficiency and average clustering coefficient of the theta band were negatively correlated with repetition (r = -0.500 to -0.505, all P < 0.05); under the unmatched condition, the local efficiency and average clustering coefficient of the alpha and beta bands in PSA group were positively correlated with reading (r = 0.522 to 0.642, all P < 0.05), and the global efficiency and local efficiency of the alpha band were positively correlated with auditory comprehension (r = 0.486 to 0.496, all P < 0.05). The comparison between the task state and the resting state further revealed that compensatory connection enhanced in the alpha band in the frontal lobe and limbic system (6 nodes, 5 edges, P < 0.05) and in the beta band in the frontal, temporal, parietal, occipital lobes and limbic system (38 nodes, 52 edges, P < 0.01) in PSA patients.

Conclusion The core network damage characteristics of PSA patients are abnormally decreased global properties across multiple frequency bands and frequency-specific abnormal network reorganization, suggesting the overall brain network efficiency decline coexists with local compensation. This provides an objective basis for the neuroelectrophysiological evaluation and targeted intervention of PSA.

Key words: post-stroke aphasia, functional connectivity, electroencephalogram, brain functional network, graph theory analysis

CLC Number:

R743.3

ZHANG Zihan, ZHANG Jiacheng, LIU Jinghe, CHEN Yuhang, WU Dan, WANG Huiying, HUANG Xing, CHANG Jingling. Characteristics of brain functional network based on electroencephalogram in post-stroke aphasia patients based on functional connectivity[J]. Chinese Journal of Rehabilitation Theory and Practice, 2025, 31(11): 1342-1353.

Figures/Tables 11

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References 44

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组别	n	性别(男/女)/n	年龄/岁	受教育年限/年
对照组	9	6/3	52.00±5.60	12.00(7.5, 12.0)
PSA组	18	13/5	54.45±10.18	12.00(11.3, 16.0)
t/Z值			0.652	-1.457
P值			0.521	0.145

分项	评分
听理解	25.94±11.41
复述	19.00±8.87
说	11.83±11.96
出声读	14.72±9.89
阅读	25.72±10.69
抄写	6.89±4.90
描写	6.61±8.60
听写	4.22±5.47
计算	10.22±5.64

频带	对照组匹配	对照组不匹配	PSA组匹配	PSA组不匹配	F值	P值
α	0.15±0.01	0.16±0.04	0.15±0.01	0.15±0.01	335.057	< 0.001
β	0.15±0.01	0.24±0.01	0.15±0.01	0.16±0.01	187.889	< 0.001
δ	0.15±0.01	0.25±0.01	0.16±0.01	0.15±0.01	23.919	< 0.001
γ	0.16±0.01	0.24±0.01	0.16±0.01	0.16±0.01	22.289	< 0.001
θ	0.15±0.01	0.24±0.01	0.15±0.01	0.15±0.01	287.066	< 0.001

频带	对照组匹配	对照组不匹配	PSA组匹配	PSA组不匹配	F值	P值
α	0.23±0.01	0.35±0.01	0.23±0.01	0.23±0.02	22.226	< 0.001
β	0.24±0.02	0.34±0.01	0.23±0.02	0.24±0.02	95.089	< 0.001
δ	0.23±0.02	0.35±0.01	0.24±0.02	0.23±0.02	23.709	< 0.001
γ	0.24±0.01	0.35±0.01	0.24±0.02	0.25±0.02	136.412	< 0.001
θ	0.23±0.02	0.35±0.01	0.23±0.02	0.22±0.02	146.919	< 0.001

频带	对照组匹配	对照组不匹配	PSA组匹配	PSA组不匹配	F值	P值
α	0.19±0.02	0.28±0.01	0.19±0.02	0.18±0.01	117.944	< 0.001
β	0.20±0.02	0.28±0.01	0.19±0.02	0.20±0.02	69.851	< 0.001
δ	0.19±0.02	0.29±0.01	0.20±0.02	0.19±0.02	23.557	< 0.001
γ	0.20±0.01	0.29±0.01	0.20±0.02	0.20±0.02	92.498	< 0.001
θ	0.18±0.01	0.28±0.01	0.18±0.02	0.18±0.02	113.326	< 0.001

Characteristics of brain functional network based on electroencephalogram in post-stroke aphasia patients based on functional connectivity

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全局属性	条件	频带	听理解	复述	阅读
全局效率	匹配	α	0.479^a	-0.307	0.643^b
		β	0.379	-0.421	0.511^a
		δ	0.340	-0.073	0.525^a
		γ	0.249	-0.340	0.444
		θ	0.232	-0.330	0.369
	不匹配	α	0.496^a	-0.336	0.628^b
		β	0.385	-0.425	0.448
		δ	0.023	-0.186	0.244
		γ	0.311	-0.362	0.219
		θ	0.198	-0.401	0.428
局部效率	匹配	α	0.431	-0.382	0.650^b
		β	0.382	-0.381	0.580^a
		δ	0.311	-0.028	0.474^a
		γ	0.261	-0.382	0.486^a
		θ	0.260	-0.500^a	0.360
	不匹配	α	0.486^a	-0.327	0.642^b
		β	0.367	-0.385	0.522^a
		δ	0.124	-0.202	0.320
		γ	0.249	-0.419	0.216
		θ	0.334	-0.381	0.455
平均集群系数	匹配	α	0.382	-0.318	0.636^a
平均集群系数		β	0.297	-0.400	0.547^a
		δ	0.220	0.046	0.373
		γ	0.224	-0.406	0.454
		θ	0.229	-0.505^a	0.359^a
	不匹配	α	0.418	-0.350	0.555^a
		β	0.367	-0.441	0.534^a
		δ	0.035	-0.166	0.256
		γ	0.025	-0.326	0.108
		θ	0.319	-0.418	0.413

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