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Characterizing pulsatility in distal cerebral arteries using 4D flow MRI
Umeå University, Faculty of Medicine, Department of Radiation Sciences.
Umeå University, Faculty of Medicine, Department of Radiation Sciences. Umeå University, Faculty of Medicine, Department of Integrative Medical Biology (IMB). Umeå University, Faculty of Medicine, Umeå Centre for Functional Brain Imaging (UFBI).
Umeå University, Faculty of Medicine, Department of Radiation Sciences.ORCID iD: 0000-0002-1315-7010
Umeå University, Faculty of Medicine, Department of Pharmacology and Clinical Neuroscience.ORCID iD: 0000-0001-6451-1940
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2019 (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]

Recent reports have suggested that age-related arterial stiffening and excessive cerebral arterial pulsatility cause blood-brain barrier breakdown, brain atrophy and cognitive decline. This has spurred interest in developing non-invasive methods to measure pulsatility in distal vessels, closer to the cerebral microcirculation. Here, we report a method based on four-dimensional (4D) flow MRI to estimate a global composite flow waveform of distal cerebral arteries. The method is based on finding and sampling arterial waveforms from thousands of cross sections in numerous small vessels of the brain, originating from cerebral cortical arteries. We demonstrate agreement with internal and external reference methods and show the ability to capture significant increases in distal cerebral arterial pulsatility as a function of age. The proposed approach can be used to advance our understanding regarding excessive arterial pulsatility as a potential trigger of cognitive decline and dementia.

Place, publisher, year, edition, pages
2019.
Keywords [en]
4D flow MRI, cerebral hemodynamics, arterial pulsatility, cerebral cortical arteries, aging
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:umu:diva-166582DOI: 10.1177/0271678X19886667ISI: 000497309400001PubMedID: 31722598OAI: oai:DiVA.org:umu-166582DiVA, id: diva2:1381136
Funder
Swedish Research Council, 2015-05616Swedish Research Council, 2017-04949Available from: 2019-12-20 Created: 2019-12-20 Last updated: 2019-12-20

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Vikner, TomasNyberg, LarsHolmgren, MadeleneMalm, JanEklund, AndersWåhlin, Anders

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Vikner, TomasNyberg, LarsHolmgren, MadeleneMalm, JanEklund, AndersWåhlin, Anders
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Department of Radiation SciencesDepartment of Integrative Medical Biology (IMB)Umeå Centre for Functional Brain Imaging (UFBI)Department of Pharmacology and Clinical Neuroscience
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Journal of Cerebral Blood Flow and Metabolism
Radiology, Nuclear Medicine and Medical Imaging

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