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Altered cerebrovascular haemodynamics in Parkinson's disease: Insights from 4D flow MRI
Journal article   Open access   Peer reviewed

Altered cerebrovascular haemodynamics in Parkinson's disease: Insights from 4D flow MRI

Ashley R Deane, Daniel J Myall, Anna Pilbrow, Reza Shoorangiz, Sophie Grenfell, Rachel Nolan, Leslie Livingston, Marie Goulden, Rebecca M Lee, Alireza Sharifzadeh-Kermani, …
NPJ Parkinson's Disease, Vol.12(1), 78
13/02/2026
Handle:
https://hdl.handle.net/10523/49809

Abstract

blood flow cerebrovascular disease neurovascular mild cognitive impairment cognitive decline dementia Circle of Willis
Cognitive impairment is a core non-motor symptom of Parkinson's disease (PD), yet its biological substrates remain poorly defined. Emerging evidence implies cerebrovascular involvement, although direct investigations of the cerebrovasculature are scarce. This study used 4D flow MRI and Bayesian multi-level modelling to explore the health of the circle of Willis in PD, and to examine whether anatomical or haemodynamic changes within this network relate to cognitive and motor symptoms. Arterial anatomy (cross sectional area) and haemodynamics (mean flow, total cerebral blood flow, mean and maximum velocity, pulsatility, and resistance) were assessed in 80 individuals with PD with varying levels of cognitive and motor impairment, and 34 controls. Compared to controls, PD was associated with lower mean flow, total cerebral blood flow, and mean velocity across the CoW network. Altered haemodynamics (lower mean flow and mean velocity) were associated with both cognitive and motor impairment, while vascular stiffening (increased pulsatility and resistance) exclusively co-occurred with cognitive decline. Our results identify CoW dysfunction as a pathophysiological feature of PD and implicate compromised haemodynamics in symptom severity. Findings position the cerebrovasculature as a potential target for therapeutic focus.
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Published (Version of record) Open Access CC BY-NC-ND V4.0  — You are free to Share - copy and redistribute the material in any medium or format. Under the following terms: Attribution - You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. NonCommercial - You may not use the material for commercial purposes. NoDerivatives - If you remix, transform, or build upon the material, you may not distribute the modified material.
url
https://doi.org/10.1038/s41531-026-01276-0View
Published (Version of record) Open CC BY-NC-ND V4.0  — You are free to Share - copy and redistribute the material in any medium or format. Under the following terms: Attribution - You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. NonCommercial - You may not use the material for commercial purposes. NoDerivatives - If you remix, transform, or build upon the material, you may not distribute the modified material.

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