TY - JOUR
T1 - Topological relationships between perivascular spaces and progression of white matter hyperintensities
T2 - A pilot study in a sample of the Lothian Birth Cohort 1936
AU - Barnes, Abbie
AU - Ballerini, Lucia
AU - Valdés Hernández, Maria Del C.
AU - Chappell, Francesca M.
AU - Muñoz Maniega, Susana
AU - Meijboom, Rozanna
AU - Backhouse, Ellen V.
AU - Stringer, Michael S.
AU - Duarte Coello, Roberto
AU - Brown, Rosalind
AU - Bastin, Mark E.
AU - Cox, Simon R.
AU - Deary, Ian J.
AU - Wardlaw, Joanna M.
N1 - Funding Information:
This study was partially funded by the Selfridges Group Foundation under the Novel Biomarkers 2019 scheme (ref UB190097) administered by the Weston Brain Institute. The LBC1936 is supported by Age UK as The Disconnected Mind Project ( http://www.disconnectedmind.ed.ac.uk ), the Medical Research Council [G1001245/96099] and The University of Edinburgh. LBC1936 MRI brain imaging was supported by Medical Research Council (MRC) grants [G0701120], [G1001245], [MR/M013111/1], and [MR/R024065/1]. Magnetic Resonance Image acquisition and analyses were conducted at the Brain Research Imaging Centre, Neuroimaging Sciences, University of Edinburgh ( www.bric.ed.ac.uk ) which is part of SINAPSE (Scottish Imaging Network—A Platform for Scientific Excellence) collaboration ( www.sinapse.ac.uk ) funded by the Scottish Funding Council and the Chief Scientist Office. This work was supported by the Centre for Cognitive Ageing and Cognitive Epidemiology, funded by the Medical Research Council and the Biotechnology and Biological Sciences Research Council (MR/K026992/1), the Row Fogo Charitable Trust (BRO-D.FID3668413), the European Union Horizon 2020, (PHC-03-15, project No 666881), SVDs@Target, the Fondation Leducq Transatlantic Network of Excellence for the Study of Perivascular Spaces in Small Vessel Disease, ref no. 16 CVD 05, the US National Institutes of Health (R01AG054628), a Sir Henry Dale Fellowship jointly funded by the Wellcome Trust, the Royal Society (SRC, Grant Number 221890/Z/20/Z), and the Medical Research Council UK Dementia Research Institute at the University of Edinburgh. None of the funders have any role in the collection and processing of the data or the content presented in this manuscript.
Publisher Copyright:
Copyright © 2022 Barnes, Ballerini, Valdés Hernández, Chappell, Muñoz Maniega, Meijboom, Backhouse, Stringer, Duarte Coello, Brown, Bastin, Cox, Deary and Wardlaw.
PY - 2022/8/24
Y1 - 2022/8/24
N2 - Enlarged perivascular spaces (PVS) and white matter hyperintensities (WMH) are features of cerebral small vessel disease which can be seen in brain magnetic resonance imaging (MRI). Given the associations and proposed mechanistic link between PVS and WMH, they are hypothesized to also have topological proximity. However, this and the influence of their spatial proximity on WMH progression are unknown. We analyzed longitudinal MRI data from 29 out of 32 participants (mean age at baseline = 71.9 years) in a longitudinal study of cognitive aging, from three waves of data collection at 3-year intervals, alongside semi-automatic segmentation masks for PVS and WMH, to assess relationships. The majority of deep WMH clusters were found adjacent to or enclosing PVS (waves−1: 77%; 2: 76%; 3: 69%), especially in frontal, parietal, and temporal regions. Of the WMH clusters in the deep white matter that increased between waves, most increased around PVS (waves−1–2: 73%; 2–3: 72%). Formal statistical comparisons of severity of each of these two SVD markers yielded no associations between deep WMH progression and PVS proximity. These findings may suggest some deep WMH clusters may form and grow around PVS, possibly reflecting the consequences of impaired interstitial fluid drainage via PVS. The utility of these relationships as predictors of WMH progression remains unclear.
AB - Enlarged perivascular spaces (PVS) and white matter hyperintensities (WMH) are features of cerebral small vessel disease which can be seen in brain magnetic resonance imaging (MRI). Given the associations and proposed mechanistic link between PVS and WMH, they are hypothesized to also have topological proximity. However, this and the influence of their spatial proximity on WMH progression are unknown. We analyzed longitudinal MRI data from 29 out of 32 participants (mean age at baseline = 71.9 years) in a longitudinal study of cognitive aging, from three waves of data collection at 3-year intervals, alongside semi-automatic segmentation masks for PVS and WMH, to assess relationships. The majority of deep WMH clusters were found adjacent to or enclosing PVS (waves−1: 77%; 2: 76%; 3: 69%), especially in frontal, parietal, and temporal regions. Of the WMH clusters in the deep white matter that increased between waves, most increased around PVS (waves−1–2: 73%; 2–3: 72%). Formal statistical comparisons of severity of each of these two SVD markers yielded no associations between deep WMH progression and PVS proximity. These findings may suggest some deep WMH clusters may form and grow around PVS, possibly reflecting the consequences of impaired interstitial fluid drainage via PVS. The utility of these relationships as predictors of WMH progression remains unclear.
KW - perivascular spaces
KW - Virchow-Robin Spaces
KW - white matter hyperintensities
KW - aging
KW - longitudinal
KW - MRI
KW - brain
KW - small vessel disease
U2 - 10.3389/fneur.2022.889884
DO - 10.3389/fneur.2022.889884
M3 - Article
SN - 1664-2295
VL - 13
JO - Frontiers in Neurology
JF - Frontiers in Neurology
M1 - 889884
ER -