基于语言双流模型的卒中后失语右脑功能网络研究

doi:10.3969/j.issn.1006-9771.2020.05.016

Abstract

Abstract:

Objective To study the effect of right brain language network in post-stroke aphasia (PSA) patients with left hemisphere injury.Methods From December, 2018 to June, 2019, twelve PSA patients with left hemisphere injury, and twelve matched healthy controls were recruited to accept rest-state functional magnetic resonance imaging (f-MRI) scan, and analyzed the characteristics of right brain function network with Dual Stream model.Results There were two patients lost. Compared with the controls, for dorsolateral lingual pathway, the functional connections increased from superior marginal gyrus to middle frontal gyrus and inferior frontal gyrus of trigone in the patients, while those decreased from posterior central gyrus to inferior frontal gyrus of insula. For ventral lingual pathway, the functional connection increased from angular gyrus to orbital inferior frontal gyrus. For ventral and dorsolateral double-pathway, the functional connections increased from temporal lobe to lenticular pallidum and angular gyrus, from caudate nucleus to inferior frontal gyrus of insula, from lenticular putamen nucleus to middle frontal gyrus and trigonometry, while it decreased from superior marginal gyrus and temporal lobe to inferior frontal gyrus of insula. There was a negative correlation between the functional connection from inferior frontal gyrus to lenticular putamen and repeating (r = -0.720, P < 0.05), between the functional connection from inferior frontal gyrus to the caudate nucleus to speaking and repeating ( r < -0.696, P < 0.05). In terms of network index, there were significant differences between the patients and the controls in both local and global indexes for language key brain area in right brain (| t| > 2.143, P < 0.05). Conclusion The functional network has reorganized in right hemisphere of PSA patients. However, the increase of connection between language critical cortex and subcortical nuclei may play a role in improvement of language function.

Key words: stroke, aphasia, dual stream model, brain function network, right brain

CLC Number:

R743.3

FAN Rui-wen,LI Xiao-lin,HUANG Xing,XU Min-jie,CAO Yun,ZHANG Dan-li,CHANG Jing-ling. Functional Connectivities in Right Hemisphere for Post-stroke Aphasia: Based on Dual Stream Model[J]. 《Chinese Journal of Rehabilitation Theory and Practice》, 2020, 26(5): 572-578.

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References 38

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组别	n	性别(男/女, n)	年龄(岁)	教育程度(年)	病程(d)	病灶体积(ml)
对照组	12	10/2	57.08±9.03	13.33±3.06	-	-
患者组	10	6/4	51.10±12.42	12.20±3.58	46.7±40.94	17.01±17.29
χ²/t值		0.552	-1.307	-0.801
P值		0.458	0.206	0.434

网络指标	脑区	对照组(n= 12)	患者组(n= 10)	t值	P值
介数中心性	后扣带回	1.63±1.46	4.85±4.31	2.442	0.024
	眶部额上回	3.82±2.71	7.62±5.41	2.143	0.045
度中心性	额中回	7.00±1.36	8.93±1.42	3.249	0.004
节点集聚系数	颞横回	0.23±0.08	0.14±0.08	-2.689	0.014
节点效率	额中回	0.26±0.02	0.28±0.02	2.926	0.008
	颞下回	0.29±0.02	0.26±0.02	-2.315	0.031
节点局部效率	颞横回	0.26±0.09	0.16±0.09	-2.741	0.013
节点最短路径	额中回	0.65±0.07	0.59±0.04	-2.417	0.025

网络指标		对照组(n= 12)	患者组(n= 10)	t值	P值
同配性	同配性分数	0.04±0.05	0.04±0.06	0.068	0.947
	同配性z分	1.94±0.73	2.21±1.13	0.682	0.503
层级性	层级性分数	0.05±0.04	0.02±0.05	-1.574	0.131
	层级性z分	-0.14±0.30	-0.53±0.50	-2.300	0.032
网络效率	全局效率	0.23±0.01	0.23±0.01	-1.047	0.308
	局部效率	0.29±0.01	0.28±0.01	-1.868	0.077
小世界属性	聚集系数	0.23±0.01	0.23±0.02	-0.047	0.963
	Gamma系数	0.59±0.07	0.52±0.06	-2.558	0.019
	Lambda系数	0.42±0.01	0.42±0.01	-0.084	0.934
	最短路径	0.76±0.05	0.79±0.07	1.260	0.222
	Sigma系数	0.56±0.06	0.49±0.06	-2.493	0.022
同步性	同步性分数	0.02±0.02	0.01±0.01	-0.878	0.390
	同步性z分	-0.47±0.66	-0.37±0.20	0.534	0.602

Functional Connectivities in Right Hemisphere for Post-stroke Aphasia: Based on Dual Stream Model

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