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Cerebral arterial stiffness is linked to white matter hyperintensities and perivascular spaces in older adults: a 4D flow MRI study
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics. Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention.
Umeå University, Faculty of Medicine, Umeå Centre for Functional Brain Imaging (UFBI). Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics. Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention.ORCID iD: 0000-0002-2031-722X
Umeå University, Faculty of Medicine, Department of Clinical Sciences, Neurosciences.ORCID iD: 0000-0002-4423-9465
Umeå University, Faculty of Medicine, Department of Clinical Sciences, Neurosciences.
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2024 (English)In: Journal of Cerebral Blood Flow and Metabolism, ISSN 0271-678X, E-ISSN 1559-7016Article in journal (Refereed) Epub ahead of print
Abstract [en]

White matter hyperintensities (WMH), perivascular spaces (PVS) and lacunes are common MRI features of small vessel disease (SVD). However, no shared underlying pathological mechanism has been identified. We investigated whether SVD burden, in terms of WMH, PVS and lacune status, was related to changes in the cerebral arterial wall by applying global cerebral pulse wave velocity (gcPWV) measurements, a newly described marker of cerebral vascular stiffness. In a population-based cohort of 190 individuals, 66–85 years old, SVD features were estimated from T1-weighted and FLAIR images while gcPWV was estimated from 4D flow MRI data. Additionally, the gcPWV’s stability to variations in field-of-view was analyzed. The gcPWV was 10.82 (3.94) m/s and displayed a significant correlation to WMH and white matter PVS volume (r = 0.29, p < 0.001; r = 0.21, p = 0.004 respectively from nonparametric tests) that persisted after adjusting for age, blood pressure variables, body mass index, ApoB/A1 ratio, smoking as well as cerebral pulsatility index, a previously suggested early marker of SVD. The gcPWV displayed satisfactory stability to field-of-view variations. Our results suggest that SVD is accompanied by changes in the cerebral arterial wall that can be captured by considering the velocity of the pulse wave transmission through the cerebral arterial network.

Place, publisher, year, edition, pages
Sage Publications, 2024.
Keywords [en]
4D flow MRI, cerebral small vessel disease, perivascular spaces, pulse wave velocity, white matter hyperintensities
National Category
Cardiac and Cardiovascular Systems Neurology Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:umu:diva-221120DOI: 10.1177/0271678X241230741ISI: 001157963000001PubMedID: 38315044Scopus ID: 2-s2.0-85184419786OAI: oai:DiVA.org:umu-221120DiVA, id: diva2:1839982
Funder
Swedish Foundation for Strategic Research, RMX18-0152Swedish Heart Lung Foundation, 20180513Swedish Heart Lung Foundation, 20210653The Swedish Brain Foundation, F2022-0216Swedish Research Council, 2017-04949Swedish Research Council, 2022-04263Region VästerbottenAvailable from: 2024-02-22 Created: 2024-02-22 Last updated: 2024-02-22

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Björnfot, CeciliaEklund, AndersLarsson, JennyHansson, WilliamBirnefeld, JohanGarpebring, AndersQvarlander, SaraKoskinen, Lars-Owe D.Malm, JanWåhlin, Anders

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Björnfot, CeciliaEklund, AndersLarsson, JennyHansson, WilliamBirnefeld, JohanGarpebring, AndersQvarlander, SaraKoskinen, Lars-Owe D.Malm, JanWåhlin, Anders
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Radiation PhysicsDepartment of Diagnostics and InterventionUmeå Centre for Functional Brain Imaging (UFBI)NeurosciencesDepartment of Applied Physics and Electronics
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Journal of Cerebral Blood Flow and Metabolism
Cardiac and Cardiovascular SystemsNeurologyRadiology, Nuclear Medicine and Medical Imaging

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