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Multimodal research advances in MRI and artificial intelligence for vascular cognitive impairment
WANG Yang  LI Xiaoling  CAO Danna  CUI Xuan  PENG Cailiang  LIU Xiao 

DOI:10.12015/issn.1674-8034.2026.02.023.


[Abstract] Vascular cognitive impairment (VCI) is a common type of cognitive disorder, primarily characterized by impairments in attention, executive function, and information processing speed. The pathogenesis of VCI is associated with multiple pathological mechanisms, including chronic cerebral hypoperfusion, neuronal dysfunction, and activation of apoptotic pathways. MRI studies of VCI encompassing resting-state and task-based functional MRI, arterial spin labeling, magnetic resonance spectroscopy, and various structural MRI sequences systematically reveal its complex neural mechanisms across multiple dimensions, such as spontaneous neural activity, functional network connectivity, cerebral blood flow perfusion, metabolite concentrations, gray matter volume, and white matter microstructure. Artificial intelligence (AI) technologies, particularly machine learning and deep learning, have emerged as powerful tools for integrating MRI data, enabling in-depth mining of imaging features to achieve subtype differentiation and severity assessment of VCI. This review focuses on multi-modal research integrating MRI and AI in VCI , highlights the current limitations and future research directions, and provides critical pathways as well as forward-looking perspectives for developing early, objective, and precise diagnostic paradigms.
[Keywords] vascular cognitive impairment；magnetic resonance imaging；multi-modal；functional magnetic resonance imaging；structural magnetic resonance imaging；artificial intelligence

WANG Yang1, 2   LI Xiaoling1   CAO Danna1   CUI Xuan3*   PENG Cailiang2, 4   LIU Xiao5  

1 Department of CT and MRI, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin 150040, China

2 Graduate School, Heilongjiang University of Chinese Medicine, Harbin 150040, China

3 First Department of Peripheral Vascular Diseases, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin 150040, China

4 Third Department of Cardiovascular Diseases, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin 150040, China

5 Department of Pediatrics, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin 150040, China

Corresponding author: CUI X, E-mail: 15546409500@163.com

Conflicts of interest   None.

Received  2025-11-25
Accepted  2026-01-11
DOI: 10.12015/issn.1674-8034.2026.02.023
DOI:10.12015/issn.1674-8034.2026.02.023.

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