title: Longitudinal patterns of leukoaraiosis and brain atrophy in symptomatic small vessel disease.
abstract: Cerebral small vessel disease is a common condition associated with lacunar stroke, cognitive impairment and significant functional morbidity. White matter hyperintensities and brain atrophy, seen on magnetic resonance imaging, are correlated with increasing disease severity. However, how the two are related remains an open question. To better define the relationship between white matter hyperintensity growth and brain atrophy, we applied a semi-automated magnetic resonance imaging segmentation analysis pipeline to a 3-year longitudinal cohort of 99 subjects with symptomatic small vessel disease, who were followed-up for ≥1 years. Using a novel two-stage warping pipeline with tissue repair step, voxel-by-voxel rate of change maps were calculated for each tissue class (grey matter, white matter, white matter hyperintensities and lacunes) for each individual. These maps capture both the distribution of disease and spatial information showing local rates of growth and atrophy. These were analysed to answer three primary questions: first, is there a relationship between whole brain atrophy and magnetic resonance imaging markers of small vessel disease (white matter hyperintensities or lacune volume)? Second, is there regional variation within the cerebral white matter in the rate of white matter hyperintensity progression? Finally, are there regionally specific relationships between the rates of white matter hyperintensity progression and cortical grey matter atrophy? We demonstrate that the rates of white matter hyperintensity expansion and grey matter atrophy are strongly correlated (Pearson's R = -0.69, P < 1 × 10(-7)), and significant grey matter loss and whole brain atrophy occurs annually (P < 0.05). Additionally, the rate of white matter hyperintensity growth was heterogeneous, occurring more rapidly within long association fasciculi. Using voxel-based quantification (family-wise error corrected P < 0.05), we show the rate of white matter hyperintensity progression is associated with increases in cortical grey matter atrophy rates, in the medial-frontal, orbito-frontal, parietal and occipital regions. Conversely, increased rates of global grey matter atrophy are significantly associated with faster white matter hyperintensity growth in the frontal and parietal regions. Together, these results link the progression of white matter hyperintensities with increasing rates of regional grey matter atrophy, and demonstrate that grey matter atrophy is the major contributor to whole brain atrophy in symptomatic cerebral small vessel disease. These measures provide novel insights into the longitudinal pathogenesis of small vessel disease, and imply that therapies aimed at reducing progression of white matter hyperintensities via end-arteriole damage may protect against secondary brain atrophy and consequent functional morbidity.
authors.affiliation: Neurosciences Research Centre, Cardiovascular and Cell Sciences Research Institute, St George's University of London, SW17 0RE, UK clambert112358@gmail.com.
authors.forename: Christian
authors.initials: C
authors.lastname: Lambert
authors.affiliation: Neurosciences Research Centre, Cardiovascular and Cell Sciences Research Institute, St George's University of London, SW17 0RE, UK Department of Radiology, Charing Cross Campus, Imperial College NHS Trust, London W6 8RP, UK.
authors.forename: Philip
authors.initials: P
authors.lastname: Benjamin
authors.affiliation: Neurosciences Research Centre, Cardiovascular and Cell Sciences Research Institute, St George's University of London, SW17 0RE, UK.
authors.forename: Eva
authors.initials: E
authors.lastname: Zeestraten
authors.affiliation: Stroke Research Group, Division of Clinical Neurosciences, University of Cambridge, CB2 0QQ, UK.
authors.forename: Andrew J
authors.initials: AJ
authors.lastname: Lawrence
authors.affiliation: Neurosciences Research Centre, Cardiovascular and Cell Sciences Research Institute, St George's University of London, SW17 0RE, UK.
authors.forename: Thomas R
authors.initials: TR
authors.lastname: Barrick
authors.affiliation: Stroke Research Group, Division of Clinical Neurosciences, University of Cambridge, CB2 0QQ, UK.
authors.forename: Hugh S
authors.initials: HS
authors.lastname: Markus
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D001284:Atrophy / Q000473:pathology; D001921:Brain / Q000473:pathology*; D059345:Cerebral Small Vessel Diseases / Q000175:diagnosis* / Q000453:epidemiology*; D015331:Cohort Studies; D018450:Disease Progression; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D049292:Leukoaraiosis / Q000175:diagnosis* / Q000453:epidemiology*; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D011446:Prospective Studies
keywords: atrophy; longitudinal; small vessel disease; voxel-based quantification; white matter hyperintensities