基于静息态功能磁共振的肌萎缩侧索硬化症大脑功能网络研究

王倩楠; 张静娜; 乔梁; 胡俊; 张晔; 王莉; 桑林琼; 李鹏岳; 邱明国

doi:10.16016/j.2097-0927.202201077

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基于静息态功能磁共振的肌萎缩侧索硬化症大脑功能网络研究

神经科学 | 更新时间：2026-01-09

- 基于静息态功能磁共振的肌萎缩侧索硬化症大脑功能网络研究
- Brain functional network in amyotrophic lateral sclerosis based on resting-state functional magnetic resonance imaging
- 陆军军医大学学报 2022年44卷第16期页码：1592-1598
- 作者机构：
  
  1.400038 重庆，陆军军医大学(第三军医大学)：生物医学工程与影像医学系医学图像学教研室
  2.400038 重庆，陆军军医大学(第三军医大学)：第一附属医院神经内科
- 作者简介：
  
  [邱明国，E-mail: qiumg_2002@sina.comQIU Mingguo, E-mail: qiumg_2002@sina.com
- 基金信息：
  
  国家自然科学基金青年科学基金项目(81802253);军队卫勤保障能力创新与生成专项应用基础研究项目(21WQ004);重庆市自然科学基金面上项目(cstc2020jcyj-msxmX0311)
- DOI：10.16016/j.2097-0927.202201077
  中图分类号： R319;R445.2;R746.4
- 收稿：2022-01-10，
  
  修回：2022-04-13，
  
  纸质出版：2022-08-30
- 稿件说明：
移动端阅览
王倩楠, 张静娜, 乔梁, 等. 基于静息态功能磁共振的肌萎缩侧索硬化症大脑功能网络研究[J]. 陆军军医大学学报, 2022,44(16):1592-1598.

Qiannan WANG, Jingna ZHANG, Liang QIAO, et al. Brain functional network in amyotrophic lateral sclerosis based on resting-state functional magnetic resonance imaging[J]. Journal of Army Medical University, 2022, 44(16): 1592-1598.
王倩楠, 张静娜, 乔梁, 等. 基于静息态功能磁共振的肌萎缩侧索硬化症大脑功能网络研究[J]. 陆军军医大学学报, 2022,44(16):1592-1598. DOI： 10.16016/j.2097-0927.202201077.

Qiannan WANG, Jingna ZHANG, Liang QIAO, et al. Brain functional network in amyotrophic lateral sclerosis based on resting-state functional magnetic resonance imaging[J]. Journal of Army Medical University, 2022, 44(16): 1592-1598. DOI： 10.16016/j.2097-0927.202201077.

摘要

目的

探讨肌萎缩侧索硬化症(amyotrophic lateral sclerosis，ALS)脑功能网络异常模式，为ALS早期诊断及预后评估寻找客观影像学标记。

方法

于2015年5月至2018年3月在陆军军医大学第一附属医院神经内科招募确诊ALS患者25例；同时招募年龄、性别匹配的26例健康志愿者作为对照组，均行3.0T磁共振扫描仪采集静息态(functional magnetic resonance imaging，fMRI)扫描，构建大脑大尺度功能网络。基于图论理论进行网络差异分析，经双样本

检验比较两组脑功能网络的全局和节点属性，并将ALS患者脑功能连接及网络参数与认知及运动功能评分进行Pearson相关分析。

结果

与健康对照组相比，ALS患者大脑前、后脑区之间功能网络连接显著增强(

0.05)；左侧眶内额上回-缘上回功能连接降低并与修订版ALS功能量表(revised ALS functional rating scale，ALSFRS-R)评分呈正相关(

=0.512，

=0.008)。与健康对照组相比，ALS患者标准化特征路径长度降低，额叶、枕叶等脑区节点效率及节点度增加(

0.05)，扣带回及苍白球等结构的节点效率及节点度降低(

0.05)。

结论

应用静息态功能磁共振数据可反映ALS患者脑功能网络连接异常改变，左侧眶内额上回-缘上回功能连接值可作为一种客观影像学标记，用于对ALS的早期诊断及预后评估。

Abstract

Objective

To explore the abnormal connection mode of brain functional network in amyotrophic lateral sclerosis (ALS)

and to find imaging biomarkers for early diagnosis and prognosis evaluation of ALS.

Methods

From May 2015 to March 2018

25 patients with ALS were recruited in the Department of Neurology of First affiliated Hospital of Army Medical University

and 26 age- and sex-matched healthy volunteers were enrolled as the healthy control group. Resting-state functional magnetic resonance imaging (fMRI) scans were collected by 3.0T magnetic resonance scanner

and the whole brain large-scale functional network was constructed. The network differentiation was analyzed on the basis of grap

h theory. The whole brain and node attributes of the 2 groups of functional brain networks were compared by two sample

test. The functional brain connection

network parameters and cognitive and motor function scores of ALS patients were detected by Pearson correlation analysis.

Results

Compared with the healthy control group

the functional network connection between the anterior and posterior brain regions of ALS patients was significantly enhanced (

0.05)

and the functional connection between the left orbital superior frontal gyrus and superior marginal gyrus was decreased

which was positively correlated with revised ALS functional rating scale (ALSFRE-R) score (

=0.512

=0.008). Compared with the healthy control group

the normalized characteristic path length of ALS patients was decreased

while the nodal efficiency and node degree in the frontal and occipital brain regions increased (

0.05). However

as to the cingulate gyrus and globus pallidus

the nodal efficiency and node degree decreased (

0.05).

Conclusion

Rest-fMRI data can reflect the abnormal changes of functional brain network connection in patients with ALS. Superior frontal gyrus superior marginal gyrus functional connection value of the left orbit can be used as an imaging biomarker for the early diagnosis and prognosis of ALS.

关键词

Keywords

references

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