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Showing 1 to 7 of 7 for “"cSVD"”.
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Unravelling the Genetics of Cerebral Small Vessel Disease
Cerebral small vessel disease (CSVD) is a major cause of stroke and vascular dementia. While CSVD is mostly sporadic (caused by a complex mix of environmental and genetic risk factors), its rare monogenic forms have been increasingly identified. The most common of these, cerebral autosomal dominant …
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Applications of Machine Learning to Neuroimage Analysis in Cerebral Small Vessel Disease
Introduction Cerebral small vessel disease (CSVD) causes around 25% of ischaemic strokes and contributes to nearly half of dementia cases worldwide. Neuroimaging, particularly magnetic resonance imaging (MRI), is fundamental to the assessment, prognosis, and pathophysiological study of CSVD. …
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hiPSC-Derived Cerebral Small Vessel Disease Models
Cerebral small vessel disease (cSVD) is an umbrella term of disorders that affect the small perforating arteries of the brain and is a major cause of stroke and dementia worldwide, but its pathology is yet to be known. We hypothesise that the integrity of the blood brain barrier (BBB) is disrupted …
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Mechanisms of vascular cognitive impairment in cerebral small vessel disease and stroke
Introduction: Cerebral small vessel disease (CSVD) affects small vessels in the brain and is a major contributor to stroke and vascular cognitive impairment (VCI). Although VCI poses a significant public health burden, the underlying biological processes and mechanisms remain poorly understood. The …
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Efficient similarity search in high-dimensional data spaces
… the Clustering and Singular Value Decomposition (CSVD) and the Local Dimensionality Reduction (LDR) methods. Variations in the implementation of CSVD are considered and the two methods are compared from the viewpoint of the compression ratio, CPU time, and retrieval efficiency. An exact k-NN …
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Pericyte deficiencies in a foxf2 loss of function mutant
… is associated with increased stroke risk and CSVD prevalence. Here, I use a zebrafish foxf2a loss of function mutant as a genetic model of CSVD to show pathological alterations in brain pericytes. Not only are there fewer brain pericytes across the lifespan, but these pericytes also exhibit …
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High-dimensional indexing methods utilizing clustering and dimensionality reduction
… by Clustering and Singular Value Decomposition - CSVD with indexing, Persistent Main Memory - PMM index, and Stepwise Dimensionality Increasing - SDI-tree index. CSVD is an approximate nearest neighbor search method. The performance of CSVD with indexing is studied and the approximation to the …