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Cerebral small vessel disease: a review focusing on pathophysiology, biomarkers, and machine learning strategies

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dc.contributor.author Cuadrado-Godia, Elisa
dc.contributor.author Dwivedi, Pratistha
dc.contributor.author Sharma, Sanjiv
dc.contributor.author Ois Santiago, Angel Javier
dc.contributor.author Roquer, Jaume
dc.contributor.author Balcells, Mercedes
dc.contributor.author Laird, John R.
dc.contributor.author Turk, Monika
dc.contributor.author Suri, Harman S.
dc.contributor.author Nicolaides, Andrew
dc.contributor.author Saba, Luca
dc.contributor.author Khanna, Narendra N.
dc.contributor.author Suri, Jasjit S.
dc.date.accessioned 2019-07-23T08:27:17Z
dc.date.available 2019-07-23T08:27:17Z
dc.date.issued 2018
dc.identifier.citation Cuadrado-Godia E, Dwivedi P, Sharma S, Ois Santiago A, Roquer Gonzalez J, Balcells M. et al. Cerebral small vessel disease: a review focusing on pathophysiology, biomarkers, and machine learning strategies. J Stroke. 2018 Sep;20(3):302-320. DOI: 10.5853/jos.2017.02922
dc.identifier.issn 2287-6391
dc.identifier.uri http://hdl.handle.net/10230/42141
dc.description.abstract Cerebral small vessel disease (cSVD) has a crucial role in lacunar stroke and brain hemorrhages and is a leading cause of cognitive decline and functional loss in elderly patients. Based on underlying pathophysiology, cSVD can be subdivided into amyloidal and non-amyloidal subtypes. Genetic factors of cSVD play a pivotal role in terms of unraveling molecular mechanism. An important pathophysiological mechanism of cSVD is blood-brain barrier leakage and endothelium dysfunction which gives a clue in identification of the disease through circulating biological markers. Detection of cSVD is routinely carried out by key neuroimaging markers including white matter hyperintensities, lacunes, small subcortical infarcts, perivascular spaces, cerebral microbleeds, and brain atrophy. Application of neural networking, machine learning and deep learning in image processing have increased significantly for correct severity of cSVD. A linkage between cSVD and other neurological disorder, such as Alzheimer's and Parkinson's disease and non-cerebral disease, has also been investigated recently. This review draws a broad picture of cSVD, aiming to inculcate new insights into its pathogenesis and biomarkers. It also focuses on the role of deep machine strategies and other dimensions of cSVD by linking it with several cerebral and non-cerebral diseases as well as recent advances in the field to achieve sensitive detection, effective prevention and disease management.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Korean Stroke Society
dc.rights This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License(http://creativecommons.org/licenses/by-nc/4.0/)whichpermits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.rights.uri http://creativecommons.org/licenses/by-nc/4.0/
dc.title Cerebral small vessel disease: a review focusing on pathophysiology, biomarkers, and machine learning strategies
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.5853/jos.2017.02922
dc.subject.keyword Biomarkers
dc.subject.keyword Blood-brain barrier
dc.subject.keyword Machine learning
dc.subject.keyword Neuroimaging
dc.subject.keyword Small vessel disease
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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