ArticleStroke and vascular neurology2018
Contribution of diffusion, perfusion and functional MRI to the disconnection hypothesis in subcortical vascular cognitive impairment.
Article in Stroke and vascular neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Perfusion-weighted MRI patterns in neuropsychiatric systemic lupus erythematosus: a systematic review and meta-analysis.Neuroradiology · 2025Pooled it
- Association between white matter alterations and domain-specific cognitive impairment in cerebral small vessel disease: A meta-analysis of diffusion tensor imaging.Frontiers in aging neuroscience · 2022Pooled it
- Functional connectivity changes in cerebral small vessel disease - a systematic review of the resting-state MRI literature.BMC medicine · 2021Pooled it
- Functional Connectome Predicts Cognition and Links White Matter Hyperintensity Burden to Cognitive Impairment Across the Vascular Cognitive Impairment Continuum.Brain sciences · 2026Article
- Perception of facial trustworthiness in mild cognitive impairment.Journal of Alzheimer's disease : JAD · 2026Article
- Deep Learning for Classifying and Cognitive Profiling of Subcortical Vascular Cognitive Impairment.Cyborg and bionic systems (Washington, D.C.) · 2026Article
- Compound Congrong Yizhi capsule partially remodels the fronto-retrosplenial-hippocampal memory circuit in vascular dementia rats.Frontiers in neurology · 2026Article
- Specific genetic and biological patterns underlying cortical morphological alterations in vascular cognitive impairment.Alzheimer's research & therapy · 2025Article
- Cognitive reserve mitigates cognitive impairment in cerebral small vessel disease by protecting white matter fibers: an automated fiber quantification study.Brain imaging and behavior · 2025Article
- Predictive, preventive and personalized project of vascular cognitive impairment in China (P3): Study design and interim baseline patient characteristics of a Nationwide multicenter prospective registry.Aging medicine (Milton (N.S.W)) · 2024Article
- Development and validation of a multimodal deep learning framework for vascular cognitive impairment diagnosis.iScience · 2024Article
- Recent advances in arterial spin labeling perfusion MRI in patients with vascular cognitive impairment.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023Review
- Multimodality neuroimaging in vascular mild cognitive impairment: A narrative review of current evidence.Frontiers in aging neuroscience · 2023Review
- Multiscale functional connectome abnormality predicts cognitive outcomes in subcortical ischemic vascular disease.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Abnormal static and dynamic functional connectivity of networks related to cognition in patients with subcortical ischemic vascular disease.Neuroradiology · 2022Article
- The Clustering Analysis of Time Properties in Patients With Cerebral Small Vessel Disease: A Dynamic Connectivity Study.Frontiers in neurology · 2022Article
- Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and Severity.International journal of biomedical imaging · 2022Article
- Magnetic Resonance Image Feature Analysis under Deep Learning in Diagnosis of Neurological Rehabilitation in Patients with Cerebrovascular Diseases.Contrast media & molecular imaging · 2021Article
- Classification of Cognitive Impairment and Healthy Controls Based on Transcranial Magnetic Stimulation Evoked Potentials.Frontiers in aging neuroscience · 2021Article
- Early Segmental White Matter Fascicle Microstructural Damage Predicts the Corresponding Cognitive Domain Impairment in Cerebral Small Vessel Disease Patients by Automated Fiber Quantification.Frontiers in aging neuroscience · 2020Article
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2 authors.
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Abstract
Vascular cognitive impairment (VCI) describes all forms of cognitive impairment caused by any type of cerebrovascular disease. Early identification of VCI is quite difficult due to the lack of both sensitive and specific biomarkers. Extensive damage to the white matter tracts, which connect the cortical and subcortical regions, has been shown in subcortical VCI (SVCI), the most common subtype of VCI that is caused by small vessel disease. Two specific MRI sequences, including diffusion tensor imaging (DTI) and functional MRI (fMRI), have emerged as useful tools for identifying subtle white matter changes and the intrinsic connectivity between distinct cortical regions. This review describes the advantages of these two modalities in SVCI research and the current DTI and fMRI findings on SVCI. Using DTI technique, a variety of studies found that white matter microstructural damages in the anterior and superior areas are more specific to SVCI. Similarly, functional brain abnormalities detected by fMRI have also been mainly shown in anterior brain areas in SVCI. The characteristic distribution of brain abnormalities in SVCI interrupts the prefrontal-subcortical loop that results in cognitive impairments in particular domains, which further confirms the 'disconnection syndrome' hypothesis. In addition, another MRI technique, arterial spin labelling (ASL), has been used to describe the disconnection patterns in a variety of conditions by measuring cerebral blood flow. The role of the ASL technique in SVCI research is also assessed. Finally, the review proposes the application of multimodality fusion in the investigation of SVCI pathogenesis.
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