Abnormal changes in gray matter volume and structural covariate network in patients with chronic pontine infarction
10.3760/cma.j.issn.1673-4165.2023.05.005
- VernacularTitle:慢性脑桥梗死患者脑灰质体积及结构协变网络的异常改变
- Author:
Ying WEI
1
;
Caihong WANG
;
Yong ZHANG
;
Peifang MIAO
;
Jingchun LIU
;
Xin WANG
;
Yingying WANG
;
Luobing WU
;
Jingliang CHENG
Author Information
1. 郑州大学第一附属医院磁共振科，郑州 450052
- Keywords:
Brain stem infarctions;
Pons;
Magnetic resonance imaging;
Image processing, computer-assisted;
Nerve net;
Cerebellum;
Gray matter;
Motor activity;
Memory, sho
- From:
International Journal of Cerebrovascular Diseases
2023;31(5):345-351
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the changes in gray matter volume (GMV) and abnormalities in structural covariant network (SCN) patterns in patients with chronic pontine infarction (PI).Methods:Patients with unilateral chronic PI (case group) with the first onset admitted to the First Affiliated Hospital of Zhengzhou University and Tianjin Medical University General Hospital from October 2014 to June 2021 were prospectively included. At the same time, healthy subjects matched with age, gender and education years (normal control group) were included. High-resolution three-dimensional T 1 structural MRI images and behavioral scores of the subjects were collected. The voxel-based morphometry and two-sample t test were used to explore the differences in GMV between the groups. Using GMV differential brain regions as seed points, SCN was constructed to explore the abnormality of structural covariant patterns in patients with PI. Spearman rank correlation analysis was used to analyze the correlation between GMV in differential brain regions and behavioral scores. Results:A total of 60 patients with PI were enrolled, including 33 left PI and 27 right PI, while 34 healthy controls were also enrolled. Compared with the normal control group, the GMV in bilateral posterior cerebellar lobe decreased significantly in the left PI group, and the GMV in left anterior and posterior cerebellar lobes and the right posterior cerebellar lobe decreased significantly in the right PI group (Gaussian random field correction with voxel level P<0.001 and cluster level P<0.05, cluster voxel >20), and there was a significant correlation between GMV values in the left anterior and posterior cerebellar lobes and the right posterior cerebellar lobe and the motor function score ( P<0.05). In addition, compared with the normal control group, the right PI group had broader covariate brain regions and a significant increase in the number of structural connections between covariate brain regions (family-wise error correction with voxel level P<0.05, cluster voxel >20). Conclusions:The GMV in bilateral posterior cerebellar lobe decreases significantly in patients with chronic PI, and were secondary to broader covariate brain regions and structural connections. This may be the neural mechanism of impaired behavioral function in patients with PI.
