《中国康复理论与实践》 ›› 2020, Vol. 26 ›› Issue (5): 572-578.doi: 10.3969/j.issn.1006-9771.2020.05.016
收稿日期:
2019-12-17
修回日期:
2020-01-17
出版日期:
2020-05-25
发布日期:
2020-05-29
通讯作者:
常静玲
E-mail:ear6979@163.com
作者简介:
樊瑞文(1991-),女,汉族,江苏镇江市人,博士研究生,主要研究方向:中医药防治脑病的临床与神经影像学实验研究。
基金资助:
FAN Rui-wen,LI Xiao-lin,HUANG Xing,XU Min-jie,CAO Yun,ZHANG Dan-li,CHANG Jing-ling()
Received:
2019-12-17
Revised:
2020-01-17
Published:
2020-05-25
Online:
2020-05-29
Contact:
CHANG Jing-ling
E-mail:ear6979@163.com
Supported by:
摘要:
目的 探究右脑功能网络在左侧脑损伤卒中后失语(PSA)的效应特点。方法 2018年12月至2019年6月,招募左脑半球损伤PSA患者12例(患者组)和匹配的健康成年人12例(对照组),以双流语言模型为参照,应用静息态功能磁共振观察右脑功能网络特征。结果 2例患者脱落。与对照组相比,在语言背侧通路中,患者组缘上回至额中回、三角部额下回功能连接增强,中央后回至岛盖部额下回功能连接降低;在语言腹侧通路中,角回至眶部额下回功能连接增强;在腹、背侧双通路模型中,语言功能皮质至皮质下核团功能连接增强,额、颞叶和边缘系统功能连接减弱。三角部额下回至豆状壳核功能连接增强与复述能力呈负相关(r = -0.720, P < 0.05),岛盖部额下回至尾状核功能连接增强与说和复述能力呈负相关关系( r < -0.696, P < 0.05)。患者组右脑语言关键脑区局部网络指标和全局指标均与对照组有显著性差异(| t| > 2.143, P < 0.05)。 结论 PSA患者右脑功能网络在脑卒中后发生功能重组,语言关键皮质与皮质下核团功能连接增强可能是右脑代偿的关键环节。
中图分类号:
樊瑞文,李晓琳,黄幸,徐敏杰,曹云,张丹莉,常静玲. 基于语言双流模型的卒中后失语右脑功能网络研究[J]. 《中国康复理论与实践》, 2020, 26(5): 572-578.
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.
表2
两组右脑功能网络有差异的局部指标比较"
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 |
表3
两组右脑功能网络全局指标比较"
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 |
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