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. 2018 Feb 28;3(3):131-139.
doi: 10.1136/svn-2017-000080. eCollection 2018 Sep.

Contribution of diffusion, perfusion and functional MRI to the disconnection hypothesis in subcortical vascular cognitive impairment

Affiliations

Contribution of diffusion, perfusion and functional MRI to the disconnection hypothesis in subcortical vascular cognitive impairment

Qing Ye et al. Stroke Vasc Neurol. .

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.

Keywords: diffusion tensor imaging; disconnection syndrome; functional magnetic resonance imaging; subcortical vascular cognitive impairment.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
The number of publications on subcortical vascular cognitive impairment (SVCI) using diffusion tensor imaging (DTI) or functional MRI (fMRI) techniques. DTI and fMRI technique have been increasingly used to detect structural and functional brain alterations related to SVCI, especially in the last 2 years.
Figure 2
Figure 2
Application of diffusion tensor imaging (DTI) and functional MRI (fMRI) in subcortical vascular cognitive impairment (SVCI). DTI measures the structural connections in SVCI, whereas fMRI measures the functional connections. Both DTI and fMRI are highly sensitive techniques and display high correlations with cognitive impairments in SVCI. Due to the close link between brain structural connections and functional connections, the integration of DTI and fMRI techniques may further the investigation of SVCI pathogenesis.

References

    1. Hachinski V, Iadecola C, Petersen RC, et al. National Institute of Neurological Disorders and Stroke-Canadian Stroke Network vascular cognitive impairment harmonization standards. Stroke 2006;37:2220–41. 10.1161/01.STR.0000237236.88823.47 - DOI - PubMed
    1. Fratiglioni L, Launer LJ, Andersen K, et al. Incidence of dementia and major subtypes in Europe: a collaborative study of population-based cohorts. Neurologic Diseases in the Elderly Research Group. Neurology 2000;54:S10–15. - PubMed
    1. Plassman BL, Langa KM, Fisher GG, et al. Prevalence of dementia in the United States: the aging, demographics, and memory study. Neuroepidemiology 2007;29:125–32. 10.1159/000109998 - DOI - PMC - PubMed
    1. Zhang ZX, Zahner GE, Román GC, et al. Dementia subtypes in China: prevalence in Beijing, Xian, Shanghai, and Chengdu. Arch Neurol 2005;62:447–53. 10.1001/archneur.62.3.447 - DOI - PubMed
    1. Yamada M, Mimori Y, Kasagi F, et al. Incidence of dementia, Alzheimer disease, and vascular dementia in a Japanese population: Radiation Effects Research Foundation adult health study. Neuroepidemiology 2008;30:152–60. 10.1159/000122332 - DOI - PubMed

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