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5‐Year Associations among Cerebral Arterial Pulsatility, Perivascular Space Dilation, and White Matter Lesions
OBJECTIVE: High cerebral arterial pulsatility index (PI), white matter lesions (WMLs), enlarged perivascular spaces (PVSs), and lacunar infarcts are common findings in the elderly population, and considered indicators of small vessel disease (SVD). Here, we investigate the potential temporal orderin...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9804392/ https://www.ncbi.nlm.nih.gov/pubmed/36054261 http://dx.doi.org/10.1002/ana.26475 |
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author | Vikner, Tomas Karalija, Nina Eklund, Anders Malm, Jan Lundquist, Anders Gallewicz, Nikodemus Dahlin, Magnus Lindenberger, Ulman Riklund, Katrine Bäckman, Lars Nyberg, Lars Wåhlin, Anders |
author_facet | Vikner, Tomas Karalija, Nina Eklund, Anders Malm, Jan Lundquist, Anders Gallewicz, Nikodemus Dahlin, Magnus Lindenberger, Ulman Riklund, Katrine Bäckman, Lars Nyberg, Lars Wåhlin, Anders |
author_sort | Vikner, Tomas |
collection | PubMed |
description | OBJECTIVE: High cerebral arterial pulsatility index (PI), white matter lesions (WMLs), enlarged perivascular spaces (PVSs), and lacunar infarcts are common findings in the elderly population, and considered indicators of small vessel disease (SVD). Here, we investigate the potential temporal ordering among these variables, with emphasis on determining whether high PI is an early or delayed manifestation of SVD. METHODS: In a population‐based cohort, 4D flow MRI data for cerebral arterial pulsatility was collected for 159 participants at baseline (age 64–68), and for 122 participants at follow‐up 5 years later. Structural MRI was used for WML and PVS segmentation, and lacune identification. Linear mixed‐effects (LME) models were used to model longitudinal changes testing for pairwise associations, and latent change score (LCS) models to model multiple relationships among variables simultaneously. RESULTS: Longitudinal 5‐year increases were found for WML, PVS, and PI. Cerebral arterial PI at baseline did not predict changes in WML or PVS volume. However, WML and PVS volume at baseline predicted 5‐year increases in PI. This was shown for PI increases in relation to baseline WML and PVS volumes using LME models (R [Formula: see text] 0.24; p < 0.02 and R [Formula: see text] 0.23; p < 0.03, respectively) and LCS models ([Formula: see text] = 0.28; p = 0.015 and [Formula: see text] = 0.28; p = 0.009, respectively). Lacunes at baseline were unrelated to PI. INTERPRETATION: In healthy older adults, indicators of SVD are related in a lead–lag fashion, in which the expression of WML and PVS precedes increases in cerebral arterial PI. Hence, we propose that elevated PI is a relatively late manifestation, rather than a risk factor, for cerebral SVD. ANN NEUROL 2022;92:871–881 |
format | Online Article Text |
id | pubmed-9804392 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98043922023-01-03 5‐Year Associations among Cerebral Arterial Pulsatility, Perivascular Space Dilation, and White Matter Lesions Vikner, Tomas Karalija, Nina Eklund, Anders Malm, Jan Lundquist, Anders Gallewicz, Nikodemus Dahlin, Magnus Lindenberger, Ulman Riklund, Katrine Bäckman, Lars Nyberg, Lars Wåhlin, Anders Ann Neurol Research Articles OBJECTIVE: High cerebral arterial pulsatility index (PI), white matter lesions (WMLs), enlarged perivascular spaces (PVSs), and lacunar infarcts are common findings in the elderly population, and considered indicators of small vessel disease (SVD). Here, we investigate the potential temporal ordering among these variables, with emphasis on determining whether high PI is an early or delayed manifestation of SVD. METHODS: In a population‐based cohort, 4D flow MRI data for cerebral arterial pulsatility was collected for 159 participants at baseline (age 64–68), and for 122 participants at follow‐up 5 years later. Structural MRI was used for WML and PVS segmentation, and lacune identification. Linear mixed‐effects (LME) models were used to model longitudinal changes testing for pairwise associations, and latent change score (LCS) models to model multiple relationships among variables simultaneously. RESULTS: Longitudinal 5‐year increases were found for WML, PVS, and PI. Cerebral arterial PI at baseline did not predict changes in WML or PVS volume. However, WML and PVS volume at baseline predicted 5‐year increases in PI. This was shown for PI increases in relation to baseline WML and PVS volumes using LME models (R [Formula: see text] 0.24; p < 0.02 and R [Formula: see text] 0.23; p < 0.03, respectively) and LCS models ([Formula: see text] = 0.28; p = 0.015 and [Formula: see text] = 0.28; p = 0.009, respectively). Lacunes at baseline were unrelated to PI. INTERPRETATION: In healthy older adults, indicators of SVD are related in a lead–lag fashion, in which the expression of WML and PVS precedes increases in cerebral arterial PI. Hence, we propose that elevated PI is a relatively late manifestation, rather than a risk factor, for cerebral SVD. ANN NEUROL 2022;92:871–881 John Wiley & Sons, Inc. 2022-08-24 2022-11 /pmc/articles/PMC9804392/ /pubmed/36054261 http://dx.doi.org/10.1002/ana.26475 Text en © 2022 The Authors. Annals of Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Articles Vikner, Tomas Karalija, Nina Eklund, Anders Malm, Jan Lundquist, Anders Gallewicz, Nikodemus Dahlin, Magnus Lindenberger, Ulman Riklund, Katrine Bäckman, Lars Nyberg, Lars Wåhlin, Anders 5‐Year Associations among Cerebral Arterial Pulsatility, Perivascular Space Dilation, and White Matter Lesions |
title | 5‐Year Associations among Cerebral Arterial Pulsatility, Perivascular Space Dilation, and White Matter Lesions |
title_full | 5‐Year Associations among Cerebral Arterial Pulsatility, Perivascular Space Dilation, and White Matter Lesions |
title_fullStr | 5‐Year Associations among Cerebral Arterial Pulsatility, Perivascular Space Dilation, and White Matter Lesions |
title_full_unstemmed | 5‐Year Associations among Cerebral Arterial Pulsatility, Perivascular Space Dilation, and White Matter Lesions |
title_short | 5‐Year Associations among Cerebral Arterial Pulsatility, Perivascular Space Dilation, and White Matter Lesions |
title_sort | 5‐year associations among cerebral arterial pulsatility, perivascular space dilation, and white matter lesions |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9804392/ https://www.ncbi.nlm.nih.gov/pubmed/36054261 http://dx.doi.org/10.1002/ana.26475 |
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