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Lucia Ballerini
University of Edinburgh
133Publications
19H-index
1,122Citations
Publications 135
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#1Lucia Ballerini (Edin.: University of Edinburgh)H-Index: 19
#2Thomas C. Booth (Edin.: University of Edinburgh)H-Index: 14
Last.Joanna M. Wardlaw (Edin.: University of Edinburgh)H-Index: 89
view all 13 authors...
Abstract Background and Purpose Perivascular Spaces (PVS), also known as Virchow-Robin spaces, seen on structural brain MRI, are important fluid drainage conduits and are associated with small vessel disease (SVD). Computational quantification of visible PVS may enable efficient analyses in large datasets and increase sensitivity to detect associations with brain disorders. We assessed the associations of computationally-derived PVS parameters with vascular factors and white matter hyperintensit...
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#1Sarah McGrory (Edin.: University of Edinburgh)H-Index: 7
#2Lucia Ballerini (Edin.: University of Edinburgh)H-Index: 19
Last.Ian J. Deary (Edin.: University of Edinburgh)H-Index: 128
view all 12 authors...
Abstract Introduction We test whether measures of the retinal vasculature are associated with cognitive functioning and cognitive change. Methods Retinal images from a narrow-age cohort were analyzed using Vessel Assessment and Measurement Platform for Images of the Retina, producing a comprehensive range of quantitative measurements of the retinal vasculature, at mean age 72.5 years (SD = 0.7). Cognitive ability and change were measured using a battery of multiple measures of memory, visuospati...
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#1Sarah McGrory (Edin.: University of Edinburgh)H-Index: 7
#2Lucia Ballerini (Edin.: University of Edinburgh)H-Index: 19
Last.Joanna M. Wardlaw (Edin.: University of Edinburgh)H-Index: 89
view all 15 authors...
Research has suggested that the retinal vasculature may act as a surrogate marker for diseased cerebral vessels. Retinal vascular parameters were measured using Vessel Assessment and Measurement Platform for Images of the Retina (VAMPIRE) software in two cohorts: (i) community-dwelling older subjects of the Lothian Birth Cohort 1936 (n = 603); and (ii) patients with recent minor ischaemic stroke of the Mild Stroke Study (n = 155). Imaging markers of small vessel disease (SVD) (white matter hyper...
2 CitationsSource
#1Elizabeth G. HillH-Index: 26
#2Michael StringerH-Index: 2
Last.Joanna M. WardlawH-Index: 89
view all 14 authors...
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#1Abirami Veluchamy (Dund.: University of Dundee)H-Index: 5
#2Lucia Ballerini (Dund.: University of Dundee)H-Index: 19
Last.Alex S. F. Doney (Dund.: University of Dundee)H-Index: 52
view all 22 authors...
Objective: The retina may provide readily accessible imaging biomarkers of global cardiovascular health. Increasing evidence suggests variation in retinal vascular traits is highly heritable. This ...
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#1Eric E. Smith (U of C: University of Calgary)H-Index: 72
#2Geert Jan Biessels (UU: Utrecht University)H-Index: 51
Last.Joanna M. Wardlaw (Edin.: University of Edinburgh)H-Index: 89
view all 49 authors...
Abstract Introduction Many consequences of cerebrovascular disease are identifiable by magnetic resonance imaging (MRI), but variation in methods limits multicenter studies and pooling of data. The European Union Joint Program on Neurodegenerative Diseases (EU JPND) funded the HARmoNizing Brain Imaging MEthodS for VaScular Contributions to Neurodegeneration (HARNESS) initiative, with a focus on cerebral small vessel disease. Methods Surveys, teleconferences, and an in-person workshop were used t...
2 CitationsSource
#1Lucia Ballerini (Edin.: University of Edinburgh)H-Index: 19
#2Sarah McGrory (Edin.: University of Edinburgh)H-Index: 7
Last.J Wardlaw (Edin.: University of Edinburgh)H-Index: 3
view all 13 authors...
Background: The retinal and cerebral microvasculature share many morphological and physiological properties. Perivascular Spaces (PVS), also known as Virchow-Robin spaces, are visible with increasing resolution with the ongoing improvement of brain MRI technology. We investigated the associations between quantitative retinal measurements and novel computational PVS parameters in a cohort of older people in their eighth decade. Methods: We analysed data from community-dwelling individuals (n=381 ...
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#1Maria del C. Valdés Hernández (Edin.: University of Edinburgh)H-Index: 7
#2Lucia Ballerini (Edin.: University of Edinburgh)H-Index: 19
Last.Joanna M. Wardlaw (Edin.: University of Edinburgh)H-Index: 89
view all 9 authors...
Brain iron deposits (IDs) are indicative of microvessel dysfunction which may predispose to small vessel disease (SVD) brain damage and worsen cognition later in life. Visible perivascular spaces in the centrum semiovale (CSO-PVS) are SVD features linked with microvessel dysfunction. We examined possible associations of CSO-PVS volume and count with brain IDs and cognitive abilities in 700 community-dwelling individuals from the Lothian Birth Cohort 1936 who underwent detailed cognitive testing ...
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#1Farah Firdaus Francis (Edin.: University of Edinburgh)H-Index: 1
#2Lucia Ballerini (Edin.: University of Edinburgh)H-Index: 19
Last.Joanna M. Wardlaw (Edin.: University of Edinburgh)H-Index: 89
view all 3 authors...
BackgroundPerivascular spaces, visible on brain magnetic resonance imaging, are thought to be associated with small vessel disease, neuroinflammation, and to be important for cerebral hemodynamics and interstitial fluid drainage.AimsTo benchmark current knowledge on perivascular spaces associations with risk factors, neurological disorders, and neuroimaging lesions, using systematic review and meta-analysis.Summary of reviewWe searched three databases for perivascular spaces publications, calcul...
7 CitationsSource
#1D. Relan (Edin.: University of Edinburgh)H-Index: 5
#2Lucia Ballerini (Edin.: University of Edinburgh)H-Index: 19
Last.Tom MacGillivray (Edin.: University of Edinburgh)H-Index: 35
view all 4 authors...
Automatically classifying retinal blood vessels appearing in fundus camera imaging into arterioles and venules can be problematic due to variations between people as well as in image quality, contrast and brightness. Using the most dominant features for retinal vessel types in each image rather than predefining the set of characteristic features prior to classification may achieve better performance. In this paper, we present a novel approach to classifying retinal vessels extracted from fundus ...
3 CitationsSource
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