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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...

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Autores principales: Vikner, Tomas, Karalija, Nina, Eklund, Anders, Malm, Jan, Lundquist, Anders, Gallewicz, Nikodemus, Dahlin, Magnus, Lindenberger, Ulman, Riklund, Katrine, Bäckman, Lars, Nyberg, Lars, Wåhlin, Anders
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
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
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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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