Advances in multimodal MRI-based study of brain networks in patients with carotid artery stenosis
10.13491/j.issn.1004-714X.2023.01.015
- VernacularTitle:基于多模态MRI对颈动脉狭窄患者脑网络研究进展
- Author:
Wenru GONG
1
;
Wencheng LV
2
;
Yi CUI
1
Author Information
1. Qilu Hospital of Shandong University, Jinan 250000 China.
2. Department of Radiology, Jiaozhou Branch of Shanghai East Hospital, Tongji University, Qingdao 266300 China.
- Publication Type:Journal Article
- Keywords:
Multimodal MRI;
Carotid stenosis;
Graph theory;
Cognitive impairment;
White matter lesions
- From:
Chinese Journal of Radiological Health
2023;32(1):70-74
- CountryChina
- Language:Chinese
-
Abstract:
Stenosis and occlusion caused by carotid atherosclerosis is an important cause of ischemic stroke. In recent years, with the continuous development of magnetic resonance imaging (MRI) technology and the introduction of complex network theory, brain network analysis can be used not only to explain the clinical symptoms and cognitive dysfunction in patients with carotid stenosis caused by changes in network topological properties of different brain regions, but also to explore the imaging markers of carotid stenosis, thus providing important reference data for the diagnosis of early asymptomatic carotid stenosis, the selection of individualized intervention programs, and the assessment of efficacy. Brain network analysis has been used as a powerful tool. In this paper, we review the studies of structural and functional brain networks in patients with carotid stenosis, and introduce the definitions of brain network nodes and edges and important topological properties of complex networks. We also analyze the current research on brain network in patients with carotid stenosis, and discuss the challenges and outlook of existing imaging techniques and network construction methodologies in this field.
