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      Topological relationships between perivascular spaces and progression of white matter hyperintensities: A pilot study in a sample of the Lothian Birth Cohort 1936

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          Abstract

          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.

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          Most cited references52

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          Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration

          Summary Cerebral small vessel disease (SVD) is a common accompaniment of ageing. Features seen on neuroimaging include recent small subcortical infarcts, lacunes, white matter hyperintensities, perivascular spaces, microbleeds, and brain atrophy. SVD can present as a stroke or cognitive decline, or can have few or no symptoms. SVD frequently coexists with neurodegenerative disease, and can exacerbate cognitive deficits, physical disabilities, and other symptoms of neurodegeneration. Terminology and definitions for imaging the features of SVD vary widely, which is also true for protocols for image acquisition and image analysis. This lack of consistency hampers progress in identifying the contribution of SVD to the pathophysiology and clinical features of common neurodegenerative diseases. We are an international working group from the Centres of Excellence in Neurodegeneration. We completed a structured process to develop definitions and imaging standards for markers and consequences of SVD. We aimed to achieve the following: first, to provide a common advisory about terms and definitions for features visible on MRI; second, to suggest minimum standards for image acquisition and analysis; third, to agree on standards for scientific reporting of changes related to SVD on neuroimaging; and fourth, to review emerging imaging methods for detection and quantification of preclinical manifestations of SVD. Our findings and recommendations apply to research studies, and can be used in the clinical setting to standardise image interpretation, acquisition, and reporting. This Position Paper summarises the main outcomes of this international effort to provide the STandards for ReportIng Vascular changes on nEuroimaging (STRIVE).
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            A paravascular pathway facilitates CSF flow through the brain parenchyma and the clearance of interstitial solutes, including amyloid β.

            Because it lacks a lymphatic circulation, the brain must clear extracellular proteins by an alternative mechanism. The cerebrospinal fluid (CSF) functions as a sink for brain extracellular solutes, but it is not clear how solutes from the brain interstitium move from the parenchyma to the CSF. We demonstrate that a substantial portion of subarachnoid CSF cycles through the brain interstitial space. On the basis of in vivo two-photon imaging of small fluorescent tracers, we showed that CSF enters the parenchyma along paravascular spaces that surround penetrating arteries and that brain interstitial fluid is cleared along paravenous drainage pathways. Animals lacking the water channel aquaporin-4 (AQP4) in astrocytes exhibit slowed CSF influx through this system and a ~70% reduction in interstitial solute clearance, suggesting that the bulk fluid flow between these anatomical influx and efflux routes is supported by astrocytic water transport. Fluorescent-tagged amyloid β, a peptide thought to be pathogenic in Alzheimer's disease, was transported along this route, and deletion of the Aqp4 gene suppressed the clearance of soluble amyloid β, suggesting that this pathway may remove amyloid β from the central nervous system. Clearance through paravenous flow may also regulate extracellular levels of proteins involved with neurodegenerative conditions, its impairment perhaps contributing to the mis-accumulation of soluble proteins.
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              Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images

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                Author and article information

                Contributors
                Journal
                Front Neurol
                Front Neurol
                Front. Neurol.
                Frontiers in Neurology
                Frontiers Media S.A.
                1664-2295
                24 August 2022
                2022
                : 13
                : 889884
                Affiliations
                [1] 1College of Medicine and Veterinary Medicine, University of Edinburgh , Edinburgh, United Kingdom
                [2] 2Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh , Edinburgh, United Kingdom
                [3] 3Department of Psychology, University of Edinburgh , Edinburgh, United Kingdom
                Author notes

                Edited by: Xiaofei Hu, Army Medical University, China

                Reviewed by: Ruiting Zhang, Zhejiang University, China; Joan Jiménez-Balado, University of Southern California, United States

                *Correspondence: Maria del C. Valdés Hernández m.valdes-hernan@ 123456ed.ac.uk

                This article was submitted to Applied Neuroimaging, a section of the journal Frontiers in Neurology

                Article
                10.3389/fneur.2022.889884
                9449650
                36090857
                b9e5728a-62e7-4115-ae24-2fb640fcdbac
                Copyright © 2022 Barnes, Ballerini, Valdés Hernández, Chappell, Muñoz Maniega, Meijboom, Backhouse, Stringer, Duarte Coello, Brown, Bastin, Cox, Deary and Wardlaw.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 04 March 2022
                : 01 August 2022
                Page count
                Figures: 11, Tables: 4, Equations: 0, References: 52, Pages: 17, Words: 9679
                Funding
                Funded by: Weston Brain Institute, doi 10.13039/100012479;
                Award ID: Novel Biomarkers 2019 scheme (ref UB190097)
                Funded by: Medical Research Council, doi 10.13039/501100000265;
                Award ID: G0701120
                Award ID: G1001245/96099
                Award ID: MR/M013111/1
                Award ID: MR/R024065/1
                Funded by: Mrs Gladys Row Fogo Charitable Trust, doi 10.13039/100012164;
                Award ID: BRO-D.FID3668413
                Funded by: Horizon 2020, doi 10.13039/501100007601;
                Award ID: PHC-03-15, project No 666881
                Funded by: Fondation Leducq, doi 10.13039/501100001674;
                Award ID: Transatlantic Network of Excellence for the Study of Perivascular Spaces in Small Vessel Disease, ref no. 16 CVD 05
                Funded by: National Institutes of Health, doi 10.13039/100000002;
                Award ID: R01AG054628
                Funded by: Wellcome Trust, doi 10.13039/100010269;
                Award ID: 221890/Z/20/Z
                Categories
                Neurology
                Original Research

                Neurology
                perivascular spaces,virchow-robin spaces,white matter hyperintensities,aging,longitudinal,mri,brain,small vessel disease

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