基于结构协变网络探索卒中后失语结构损伤特征

doi:10.3969/j.issn.1006-9771.2022.10.010

Abstract

Abstract:

Objective To investigate the abnormal changes of gray matter structure covariant network in post-stroke aphasia (PSA) patients.

Methods From June, 2019 to March, 2022, 15 PSA patients (patient group) from Dongzhimen Hospital, Beijing University of Chinese Medicine and Beijing Bo'ai Hospital were recruited, as well as 15 healthy subjects (control group). Their brain structure magnetic resonance imaging data were collected. The brain covariant network was constructed based on gray matter volume correlation, and graph theory analysis method was used to evaluate the global and node network level topology properties of structural covariant network. The differences of gray matter covariant network properties between patients and controls were compared.

Results There was no significant difference in the global network level topology properties between two groups (P> 0.05). At the nodal level, compared with the control group, the betweenness decreased in the right middle frontal gyrus, right posterior cingulate gyrus, right amygdala, left middle occipital gyrus, and increased in the right inferior frontal gyrus and the right suboccipital gyrus of the insula operculum (P < 0.05); the node degree decreased in the left superior frontal gyrus, left anterior cingulate and paracingulate gyrus, left hippocampus and left amygdala, while it increased in the right inferior frontal gyrus, left supplementary motor area, right superior occipital gyrus, right inferior occipital gyrus, and right lentiform pallidus (P< 0.05); the node efficiency decreased in the left anterior cingulate and paracingulate gyrus, left hippocampus, left amygdala, left temporal pole: superior temporal gyrus, and increased in the inferior frontal gyrus of right insula, left supplementary motor area and right suboccipital gyrus (P< 0.05).

Conclusion The abnormal reduction of node network properties in some brain regions in the left hemisphere of PSA patients may be a characteristic structural covariation pattern, and there may be some compensation in the right hemisphere of the structural network in some brain regions.

Key words: post-stroke aphasia, structural covariance network, graph theoretical analysis, grey matter structure

CLC Number:

R743.3

ZHOU Yufan,XU Minjie,TAN Yihai,MA Ya'nan,REN Qiaosheng,CHEN Jian,ZHANG Qingsu,WANG Bo,HE Yi,CHANG Jingling. Characteristics of post-stroke aphasia structural damage based on structural covariance network[J]. 《Chinese Journal of Rehabilitation Theory and Practice》, 2022, 28(10): 1198-1204.

Figures/Tables 8

References 37

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组别	n	性别(男/女)/n	年龄/岁	受教育年限/年
对照组	15	13/2	53.20±10.00	14.07±3.67
患者组	15	13/2	49.93±12.36	15.20±3.83
t/χ²值		0	0.795	0.826
P值		1	0.433	0.416

全局拓扑指标	对照组	患者组	实际差值	t值	P值
最短路径长度	0.927	0.938	0.010	0.096	0.938
集聚系数	0.274	0.281	0.008	0.447	0.518
全局效率	0.252	0.251	-0.001	-0.055	0.967
局部效率	0.336	0.347	0.011	0.587	0.376

脑区	MNI坐标			P值
脑区	X	Y	Z	P值
右侧眶部额中回	33.18	52.59	-10.73	0.044
右侧后扣带回	7.44	-41.81	21.87	0.007
右侧杏仁核	27.32	0.64	-17.5	0.002
左侧枕中回	-32.39	-80.73	16.11	0.009
右侧岛盖部额下回	50.2	14.98	21.41	0.028
右侧枕下回	38.16	-81.99	-7.61	0.025

脑区	MNI坐标			P值
脑区	X	Y	Z	P值
左侧眶内额上回	-5.17	54.06	-7.40	0.039
左侧前扣带和旁扣带脑回	-4.04	35.40	13.95	0.014
左侧海马	-25.03	-20.74	-10.13	0.015
左侧杏仁核	-23.27	-0.67	-17.14	0.038
右侧枕上回	24.29	-80.85	30.59	0.039
右侧枕下回	38.16	-81.99	-7.61	0.014
右侧岛盖部额下回	50.20	14.98	21.41	0.042
左侧补充运动区	-5.32	4.85	61.38	0.023
右侧豆状苍白球	21.20	0.18	0.23	0.044

脑区	MNI坐标			P值
脑区	X	Y	Z	P值
左侧前扣带和旁扣带脑回	-4.04	35.40	13.95	0.016
左侧海马	-25.03	-20.74	-10.13	0.002
左侧杏仁核	-23.27	-0.67	-17.14	0.039
左侧颞极：颞上回	-39.88	15.14	-20.18	0.025
右侧岛盖部额下回	50.20	14.98	21.41	0.046
左侧补充运动区	-5.32	4.85	61.38	0.035
右侧枕下回	38.16	-81.99	-7.61	0.008

Characteristics of post-stroke aphasia structural damage based on structural covariance network

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