ArticleNeuroImage. Clinical2020
Intracranial vascular flow oscillations in Alzheimer's disease from 4D flow MRI.
Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 23 citations in OpenAlex.
- Jointly Learned 3D Non-Cartesian Sampling With Wave Encoding and Reconstruction for Neurovascular Phase Contrast MRI.Magnetic resonance in medicine · 2026Article
- Dynamical Regulation of Blood Pressure and Cognitive Function.American journal of hypertension · 2026Article
- Quantifying physiological variability and improving reproducibility in 4D-flow MRI cerebrovascular measurements with self-supervised deep learning.Magnetic resonance in medicine · 2025Article
- Arterial-optimized 4D-flow MRI for quantifying flow and pulsatility in venous sinuses and large cerebral veins.Scientific reports · 2025Article
- Synchronous quantification of arterial, venous, and cerebrospinal fluid flow dynamics using real-time phase-contrast MRI.Fluids and barriers of the CNS · 2025Article
- Hemodynamic and neuronal contributions to low-frequency vascular oscillations in a preclinical model of Alzheimer's disease.Neurophotonics · 2025Article
- CSF dynamics throughout the ventricular system using 4D flow MRI: associations to arterial pulsatility, ventricular volumes, and age.Fluids and barriers of the CNS · 2024Article
- Unraveling diurnal and technical variability in cerebral hemodynamics from neurovascular 4D-Flow MRI.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024Article
- Impact of arterial stiffness on cerebrovascular function: a review of evidence from humans and preclincal models.American journal of physiology. Heart and circulatory physiology · 2024Review
- Cerebral artery and brain pathology correlates of antemortem cerebral artery 4D flow MRI.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Pulsatility analysis of the circle of Willis.Aging brain · 2024Article
- 4D Flow cardiovascular magnetic resonance consensus statement: 2023 update.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023Review
- Normative Cerebral Hemodynamics in Middle-aged and Older Adults Using 4D Flow MRI: Initial Analysis of Vascular Aging.Radiology · 2023Article
- Accelerated 4D-flow MRI with 3-point encoding enabled by machine learning.Magnetic resonance in medicine · 2023Article
- Motion-corrected 4D-Flow MRI for neurovascular applications.NeuroImage · 2022Article
- Why 4D Flow MRI? Real Advantages.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022Article
- Cerebral arterial pulsatility is linked to hippocampal microvascular function and episodic memory in healthy older adults.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021Article
- Cerebrovascular stiffness and flow dynamics in the presence of amyloid and tau biomarkers.Alzheimer's & dementia (Amsterdam, Netherlands) · 2021Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
Recent modeling and experimental evidence suggests clearance of soluble metabolites from the brain can be driven by low frequency flow oscillations (LFOs) through the intramural periarterial drainage (IPAD) pathway. This study investigates the use of 4D flow MRI to derive LFOs from arterial and venous measures of blood flow. 3D radial 4D flow MRI data were acquired on a 3.0 T scanner and reconstructed using a low-rank constraint to produce time resolved measurements of blood flow. Physical phantom experiments were performed to validate the time resolved 4D flow against a standard 2D phase contrast (PC) approach. To evaluate the ability of 4D flow to distinguish physiologic flow changes from noise, healthy volunteers were scanned during a breath-hold (BH) maneuver and compared against 2D PC measures. Finally, flow measures were performed in intracranial arteries and veins of 112 participants including subjects diagnosed with Alzheimer's disease (AD) clinical syndrome (n = 23), and healthy controls (n = 89) on whom apolipoprotein ɛ4 positivity (APOE4+) and parental history of AD dementia (FH+) was known. To assess LFOs, flow range, standard deviation, demeaned temporal flow changes, and power spectral density were quantified from the time series. Group differences were assessed using ANOVA followed by Tukey-Kramer method for pairwise comparison for adjusted means (P < 0.05). Significantly lower LFOs as measured from flow variation range and standard deviations were observed in the arteries of AD subjects when compared to age-matched controls (P = 0.005, P = 0.011). Results suggest altered vascular function in AD subjects. 4D flow based spontaneous LFO measures might hold potential for longitudinal studies aimed at predicting cognitive trajectories in AD and study disease mechanisms.
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