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Contribution of diffusion, perfusion and functional MRI to the disconnection hypothesis in subcortical vascular
Qing Ye1,2,3,4, Feng Bai1,2,3,4
1Department of Neurology, Affiliated Drum Tower Hospital, Nanjing University Medical School, Nanjing, Jiangsu, China.
Insights
Subcortical vascular cognitive impairment (SVCI) involves white matter damage, particularly in anterior brain regions. Advanced MRI techniques like DTI and fMRI show promise for early SVCI detection and understanding its
Area of Science:
- Neuroimaging
- Neurology
- Cerebrovascular Disease Research
Background:
- Vascular cognitive impairment (VCI) encompasses cognitive deficits from cerebrovascular diseases, with subcortical VCI (SVCI) being the most common subtype.
- Early SVCI identification is challenging due to a lack of sensitive and specific biomarkers.
- SVCI is characterized by white matter tract damage, impacting connections between cortical and subcortical regions.
Purpose of the Study:
- To review the utility of diffusion tensor imaging (DTI) and functional MRI (fMRI) in SVCI research.
- To summarize current DTI and fMRI findings related to SVCI.
- To assess the role of arterial spin labelling (ASL) and propose multimodality fusion for SVCI pathogenesis investigation.
Main Methods:
- Review of existing literature on DTI, fMRI, and ASL in SVCI.
- Analysis of DTI findings on white matter microstructural damage.
- Analysis of fMRI findings on functional brain abnormalities.
Main Results:
- DTI studies indicate SVCI-specific white matter damage in anterior and superior brain areas.
- fMRI studies reveal functional brain abnormalities predominantly in anterior regions in SVCI.
- These abnormalities disrupt the prefrontal-subcortical loop, supporting the 'disconnection syndrome' hypothesis.
Conclusions:
- DTI and fMRI are valuable tools for detecting subtle white matter changes and connectivity alterations in SVCI.
- Anterior brain region abnormalities are characteristic of SVCI, leading to specific cognitive impairments.
- Multimodality fusion of imaging techniques like DTI, fMRI, and ASL is proposed for a comprehensive understanding of SVCI pathogenesis.
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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