高级检索
当前位置: 首页 > 详情页

Brain Network Characterization of Preterm Infants With Bronchopulmonary Dysplasia

文献详情

资源类型:
Pubmed体系:
机构: [1]School of Medical Imaging, Shandong Second Medical University, Weifang, Shandong, China [2]Department of Radiology, The Third Medical Center of Chinese PLA General Hospital, Beijing, China [3]Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China [4]Department of Radiology, The Seventh Medical Center of Chinese PLA General Hospital, Beijing, China [5]Department of Radiotherapy, Affiliated Hospital of Shandong Second Medical University, Weifang, Shandong, China [6]Key Laboratory of Precision Radiation Therapy for Tumors in Weifang City, Weifang, Shandong, China [7]Department of Neonatology, Senior Department of Pediatrics, The Seventh Medical Center of Chinese PLA General Hospital, Beijing, China [8]Postgraduate Training Base of the Third Medical Center of Chinese PLA General Hospital, Jinzhou Medical University, Beijing, China [9]Department of Radiology, The Jintang First People's Hospital, Chengdu, Sichuan, China
出处:
ISSN:

关键词: Preterm infants Diffusion tensor imaging Bronchopulmonary dysplasia Connectivity networks

摘要:
Bronchopulmonary dysplasia (BPD) affects the microstructure of white matter in preterm infants, but its influence on the changes of the brain structural network has not been elaborated. This study aims to investigate the connectivity characteristics of the brain structural network of BPD by using diffusion tensor imaging.Thirty-three infants with BPD and 26 infants without BPD were enrolled in this study. Brain structural networks were constructed utilizing automated anatomic labeling mapping by tracing the fibers between each pair of regions in individual space. We calculated network metrics such as global efficiency, local efficiency, clustering coefficients, characteristic path length, and small-worldness. Then we compared the network metrics of these infants with those of 57 healthy term infants of comparable postmenstrual age at magnetic resonance imaging scan. Finally, network-based statistics was used to analyze the differences in brain network connectivity between the groups with and without BPD.Preterm infants with BPD had higher local efficiency and clustering coefficient, lower global efficiency, and longer characteristic path length. Also, preterm infants with BPD had decreased strength of limbic connections mainly in four brain regions: the left lingual gyrus, the left calcarine fissure and surrounding cortex, the right parahippocampal gyrus, and the left precuneus.Our findings suggest that preterm infants with BPD have lower network integration and higher segregation at term-equivalent age, which may reflect a compensatory mechanism. In addition, BPD affects brain regions involved in visual as well as cognitive functions; these findings provide a new approach to diagnose potential brain damage in preterm infants with BPD.Copyright © 2024 Elsevier Inc. All rights reserved.

基金:
语种:
PubmedID:
中科院(CAS)分区:
出版当年[2023]版:
大类 | 3 区 医学
小类 | 2 区 儿科 3 区 临床神经病学
最新[2023]版:
大类 | 3 区 医学
小类 | 2 区 儿科 3 区 临床神经病学
第一作者:
第一作者机构: [1]School of Medical Imaging, Shandong Second Medical University, Weifang, Shandong, China [2]Department of Radiology, The Third Medical Center of Chinese PLA General Hospital, Beijing, China
通讯作者:
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:43390 今日访问量:1 总访问量:3121 更新日期:2024-09-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 四川省肿瘤医院 技术支持:重庆聚合科技有限公司 地址:成都市人民南路四段55号