ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2016
The pulsatility volume index: an indicator of cerebrovascular compliance based on fast magnetic resonance imaging of cardiac and respiratory pulsatility.
Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 29 citations in OpenAlex.
- Quantifying Cardiac, Respiratory, and Low Frequency Components of CSF Motion From fMRI Inflow Effects.Magnetic resonance in medicine · 2026Article
- Endocrine modulation of cortical and retinal baseline perfusion across the menstrual cycle.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026Article
- Reducing Noise Induced by Cardiac Pulsatility in Brain Maps of RNMR in biomedicine · 2026Article
- ISME-incoherent sampling of multi-echo data to minimize cardiac-induced noise in brain maps ofMagnetic resonance in medicine · 2026Article
- Simultaneous real-time imaging of upper cervical cerebrospinal fluid and vascular dynamics using ultrafast inflow-weighted EPI.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Pericyte-Assisted Vascular Lumen Organization in a Novel Dynamic Human Blood-Brain Barrier-on-Chip Model.Advanced healthcare materials · 2025Article
- Pulsatility analysis of the circle of Willis.Aging brain · 2024Article
- BOLD cardiorespiratory pulsatility in the brain: from noise to signal of interest.Frontiers in human neuroscience · 2023Review
- Measuring brain beats: Cardiac-aligned fast functional magnetic resonance imaging signals.Human brain mapping · 2023Article
- Measuring Arterial Pulsatility With Dynamic Inflow Magnitude Contrast.Frontiers in neuroscience · 2021Article
- Uncovering complex central autonomic networks at rest: a functional magnetic resonance imaging study on complex cardiovascular oscillations.Journal of the Royal Society, Interface · 2020Article
- Cerebrovascular blood oxygenation level dependent pulsatility at baseline and following acute exercise among healthy adolescents.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2019Article
- Dependence of resting-state fMRI fluctuation amplitudes on cerebral cortical orientation relative to the direction of B0 and anatomical axes.NeuroImage · 2019Article
- Quantifying cardiac-induced brain tissue expansion using DENSE.NMR in biomedicine · 2019Article
- Impaired cerebral compensatory reserve is associated with admission imaging characteristics of diffuse insult in traumatic brain injury.Acta neurochirurgica · 2018Article
- Continuous wavelet transform in the study of the time-scale properties of intracranial pressure in hydrocephalus.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2018Article
- Hypersampling of pseudo-periodic signals by analytic phase projection.Computers in biology and medicine · 2018Article
- Cardiac cycle-induced EPI time series fluctuations in the brain: Their temporal shifts, inflow effects and TNeuroImage · 2017Article
- Uncovering brain-heart information through advanced signal and image processing.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2016Article
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Authors and funding
9 authors at 3 institutions in 3 countries.
Funding
Abstract
The influence of cardiac activity on the viscoelastic properties of intracranial tissue is one of the mechanisms through which brain-heart interactions take place, and is implicated in cerebrovascular disease. Cerebrovascular disease risk is not fully explained by current risk factors, including arterial compliance. Cerebrovascular compliance is currently estimated indirectly through Doppler sonography and magnetic resonance imaging (MRI) measures of blood velocity changes. In order to meet the need for novel cerebrovascular disease risk factors, we aimed to design and validate an MRI indicator of cerebrovascular compliance based on direct endogenous measures of blood volume changes. We implemented a fast non-gated two-dimensional MRI pulse sequence based on echo-planar imaging (EPI) with ultra-short repetition time (approx. 30-50 ms), which stepped through slices every approximately 20 s. We constrained the solution of the Bloch equations for spins moving faster than a critical speed to produce an endogenous contrast primarily dependent on spin volume changes, and an approximately sixfold signal gain compared with Ernst angle acquisitions achieved by the use of a 90° flip angle. Using cardiac and respiratory peaks detected on physiological recordings, average cardiac and respiratory MRI pulse waveforms in several brain compartments were obtained at 7 Tesla, and used to derive a compliance indicator, the pulsatility volume index (pVI). The pVI, evaluated in larger cerebral arteries, displayed significant variation within and across vessels. Multi-echo EPI showed the presence of significant pulsatility effects in both S0 and [Formula: see text] signals, compatible with blood volume changes. Lastly, the pVI dynamically varied during breath-holding compared with normal breathing, as expected for a compliance indicator. In summary, we characterized and performed an initial validation of a novel MRI indicator of cerebrovascular compliance, which might prove useful to investigate brain-heart interactions in cerebrovascular disease and other disorders.
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