Advances in functional magnetic resonance imaging-based research on vascular cognitive impairment with no dementia(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2026年第1期
- Page:
- 35-40
- Research Field:
- 医学影像物理
- Publishing date:
Info
- Title:
- Advances in functional magnetic resonance imaging-based research on vascular cognitive impairment with no dementia
- Author(s):
- LI Qiongge1; 2; LU Jie1; 2
- 1. Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing 100053, China 2. Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing 100053, China
- Keywords:
- Keywords: vascular cognitive impairment with no dementia functional magnetic resonance imaging image processing review
- PACS:
- R318；R816.1
- DOI:
- DOI:10.3969/j.issn.1005-202X.2026.01.005
- Abstract:
- Abstract: Vascular cognitive impairment with no dementia (VCIND) is an early modifiable stage of vascular cognitive impairment, and its precise early identification is of great significance for delaying disease progression. Resting-state functional magnetic resonance imaging, by virtue of its non-invasive advantage, has become a pivotal tool for deciphering abnormalities in the brain functional networks of VCIND. This review focuses on the multimodal analytical approaches of resting-state functional magnetic resonance imaging, and systematically summarizes their core advances in VCIND research. Specifically, local brain function analysis reveals abnormalities in spontaneous activity intensity and local coordination in core brain regions such as the default mode network. Functional connectivity analysis clarifies the cross-regional connectivity damages in the default mode network and fronto-parietal network, as well as plastic changes after intervention. Complex network analysis elaborates on the characteristic decrease in the integration efficiency of the brain network topological structure in patients. This multidimensional analytical system provides multi-level objective evidence for the elucidation of the neurobiological mechanisms of VCIND, identifies potential clinical biomarkers, and offers key technical support for the precise early identification and intervention of the disease. Furthermore, the application prospects of technological innovations and multimodal data fusion in the precision diagnosis and treatment of VCIND are discussed, thereby providing a new direction for delaying disease progression and formulating individualized intervention strategies.
Last Update: 2026-01-27