ArticleNeuroImage. Clinical2018
Identifying preclinical vascular dementia in symptomatic small vessel disease using MRI.
Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Machine learning applications in vascular neuroimaging for the diagnosis and prognosis of cognitive impairment and dementia: a systematic review and meta-analysis.Alzheimer's research & therapy · 2025Pooled it
- Gait, balance, and physical performance as markers of early Alzheimer's disease and related dementia risk.Journal of Alzheimer's disease : JAD · 2025Article
- Macular vessel density is associated with cognitive function in preclinical p.R544C NOTCH3 mutation carriers.Journal of the Chinese Medical Association : JCMA · 2025Article
- Subcortical brain volumetric differences related to white matter lesion volume and cognition in healthy aging.npj aging · 2025Article
- Early detection of dementia with default-mode network effective connectivity.Nature. Mental health · 2024Article
- Joint diffusional kurtosis magnetic resonance imaging analysis of white matter and the thalamus to identify subcortical ischemic vascular disease.Scientific reports · 2024Article
- Cortical Thickness and Brain Connectivity Mediate the Relation Between White Matter Hyperintensity and Information Processing Speed in Cerebral Small Vessel Disease.Brain topography · 2023Article
- Exploring what progress is being made in the development of health promotion material for vascular dementia: A systematic review of the evidence.Aging medicine (Milton (N.S.W)) · 2023Review
- Topography of associations between cardiovascular risk factors and myelin loss in the ageing human brain.Communications biology · 2023Article
- Differences in pharmacologic and demographic factors in male and female patients with vascular dementia, Alzheimer's disease, and mixed vascular dementia.Frontiers in dementia · 2023Article
- Predicting incident dementia in cerebral small vessel disease: comparison of machine learning and traditional statistical models.Cerebral circulation - cognition and behavior · 2023Article
- Novel insights into non-alcoholic fatty liver disease and dementia: insulin resistance, hyperammonemia, gut dysbiosis, vascular impairment, and inflammation.Cell & bioscience · 2022Review
- Relationships Between Memory Impairments and Hippocampal Structure in Patients With Subcortical Ischemic Vascular Disease.Frontiers in aging neuroscience · 2022Article
- The Association between the Binding Processes of Working Memory and Vascular Risk Profile in Adults.Brain sciences · 2021Article
- The neuroimaging of neurodegenerative and vascular disease in the secondary prevention of cognitive decline.Neural regeneration research · 2021Article
- Cognitive dispersion and ApoEe4 genotype predict dementia diagnosis in 8-year follow-up of the oldest-old.Age and ageing · 2021Article
- Influence of Mild White Matter Lesions on Voxel-based Morphometry.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2021Article
- Neurofilament light chain predicts future dementia risk in cerebral small vessel disease.Journal of neurology, neurosurgery, and psychiatry · 2021Article
- Apathy, but not depression, predicts all-cause dementia in cerebral small vessel disease.Journal of neurology, neurosurgery, and psychiatry · 2020Article
- TGF-β Signaling: A Therapeutic Target to Reinstate Regenerative Plasticity in Vascular Dementia?Aging and disease · 2020Review
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Authors and funding
9 authors at 5 institutions in 1 country.
Funding
Abstract
Sporadic cerebral small vessel disease is an important cause of vascular dementia, a syndrome of cognitive impairment together with vascular brain damage. At post-mortem pure vascular dementia is rare, with evidence of co-existing Alzheimer's disease pathology in 95% of cases. This work used MRI to characterize structural abnormalities during the preclinical phase of vascular dementia in symptomatic small vessel disease. 121 subjects were recruited into the St George's Cognition and Neuroimaging in Stroke study and followed up longitudinally for five years. Over this period 22 individuals converted to dementia. Using voxel-based morphometry, we found structural abnormalities present at baseline in those with preclinical dementia, with reduced grey matter density in the left striatum and hippocampus, and more white matter hyperintensities in the frontal white-matter. The lacunar data revealed that some of these abnormalities may be due to lesions within the striatum and centrum semiovale. Using support vector machines, future dementia could be best predicted using hippocampal and striatal Jacobian determinant data, achieving a balanced classification accuracy of 73%. Using cluster ward linkage we identified four anatomical subtypes. Successful predictions were restricted to groups with lower levels of vascular damage. The subgroup that could not be predicted were younger, further from conversion, had the highest levels of vascular damage, with milder cognitive impairment at baseline but more rapid deterioration in processing speed and executive function, consistent with a primary vascular dementia. In contrast, the remaining groups had decreasing levels of vascular damage and increasing memory impairment consistent with progressively more Alzheimer's-like pathology. Voxel-wise rates of hippocampal atrophy supported these distinctions, with the vascular group closely resembling the non-dementing cohort, whereas the Alzheimer's like group demonstrated global hippocampal atrophy. This work reveals distinct anatomical endophenotypes in preclinical vascular dementia, forming a spectrum between vascular and Alzheimer's like pathology. The latter group can be identified using baseline MRI, with 73% converting within 5 years. It was not possible to predict the vascular dominant dementia subgroup, however 19% of negative predictions with high levels of vascular disease would ultimately develop dementia. It may be that techniques more sensitive to white matter damage, such as diffusion weighted imaging, may prove more useful for this vascular dominant subgroup in the future. This work provides a way to accurately stratify patients using a baseline MRI scan, and has utility in future clinical trials designed to slow or prevent the onset of dementia in these high-risk cohorts.
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