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Zwanenburg, J. J. M.

Publications and source records attributed to Zwanenburg, J. J. M..

5 recordsLinked to original sources

Cerebrovascular pulsatility differs across vascular compartments and is altered by hypercapnic stimuli: a BOLD fMRI study

Cerebral small vessel disease and neurodegenerative disorders have been associated with increased cerebrovascular pulsatility. Recently, BOLD fMRI-based methods have emerged for assessing pulsatility, however their interpretability is limited because the relation between estimated pulsatility indices (PI) and vascular anatomy and physiology remains poorly understood. To improve interpretability, we introduce a cardiac-specific BOLD fMRI- based PI, investigate its relationship to the cortical vasculature, and validate its sensitivity by introducing the known physiological vascular modulation of hypercapnia. Using high-resolution 7T BOLD fMRI with gradient-echo (GE) and spin-echo (SE) sequences, we disentangled macro- and microvascular contributions to the PI and quantified it across cortical depth. PI maps revealed anatomically plausible patterns, with elevated GE-PI near large veins and in white matter while SE-PI remained largely constant across cortical depth. GE-PI decreased during hypercapnia consistent with altered vascular tone, SE-PI on the other hand did not. PI correlated with cerebrovascular reactivity and venous blood volume suggesting sensitivity to vascular density and vessel mechanics. Our findings demonstrate that BOLD-derived PI provides a spatially and physiologically specific measure of vascular pulsatility. The BOLD fMRI-based PI method is readily applicable to existing datasets and has potential for assessing potential microvascular damage in cerebrovascular and neurodegenerative disease.

neuroscience↗

Oscillatory flow and steady streaming of cerebrospinal fluid in cranial subarachnoid space

Cerebrospinal fluid (CSF) is a Newtonian fluid that bathes the brain and spinal cord and oscillates in response to the physiological periodic changes in brain volume, of which the cardiac cycle is a major driver. Understanding this motion is essential for clarifying its contribution to solute transport, waste clearance, and drug delivery. In this work, we study oscillatory and steady streaming flow in the cranial subarachnoid space using a lubrication-based theoretical framework. The model represents the cranial CSF compartment as a thin fluid layer bounded internally by the brain surface and externally by the dura, driven by time-dependent brain surface displacements. We first derive simplified governing equations for flow over an arbitrary smooth sphere-like brain surface and obtain analytical solutions for an idealised spherical geometry with uniform displacements. We then incorporate realistic displacement fields reconstructed from MRI measurements in healthy subjects and solve the reduced equations numerically. The results show that oscillatory forcing produces a steady streaming component that may enhance solute transport compared with diffusion alone. This work provides a mechanistic description of the flow generated by physiological brain motion and highlights the potential presence of steady streaming in cranial subarachnoid fluid dynamics.

biophysics↗

Evidence for the ultra-soft brain provided by uniqueness in intrinsic MR elastography

IntroductionBrain tissue is exceptionally soft. Recent in vivo work, including intrinsic MRE using naturally occurring cardiac pulsations, has shown stiffness values far below those obtained from post-mortem testing or externally actuated MRE. Such extreme softness allows a balance of elastic and inertial forces at even low frequencies, restoring uniqueness in viscoelastic iMRE inversion. Here, we demonstrate that viscoelastic iMRE can provide unique and stable stiffness estimates across frequencies, enabled by the brains ultra-soft nature. MethodiMRE data was obtained for 8 healthy subjects from a previous 7T MRI study, and MRE data was obtained at 50 Hz for 38 healthy subjects from two prior studies. The elastic-to-inertial force ratio was calculated for all subjects and compared between intrinsic and extrinsic datasets. The convergence of the viscoelastic iMRE was evaluated across a range of initial conditions and was examined at approximately 1, 2, and 3 Hz. ResultsAt a brain stiffness of 2600 Pa, the iMRE force ratio exceeded the MRE value by nearly four orders of magnitude, whereas at 4-35 Pa it fell to within approximately 0.5-2.5 orders of magnitude. Convergence was consistent across initial stiffness estimates. The mean storage modulus across all subjects was 5.29{+/-}0.95 Pa at 1 Hz, 34{+/-}17 Pa at 2 Hz, and 160{+/-}98 Pa at 3 Hz, consistent with previously reported frequency dependency. ConclusionBalanced force ratios, consistent convergence, and physiologically plausible results support uniqueness of the viscoelastic inversion. These findings resolve a key limitation in iMRE modeling and provide further evidence for the brains ultra-soft nature at low frequencies.

biophysics↗

Exploring the role of vascular factors and tissue properties in pulsatile brain deformation

IntroductionStrain tensor imaging (STI) provides precise measurements of brain tissue deformation caused by cerebral arterial pulsations (CAP). This CAP-related brain tissue deformation is expressed in quantitative strain metrics, such as volumetric strain and octahedral shear strain, which hold promise as quantitative markers of the (mechanical) properties of both the intracerebral vasculature and the intervascular tissue components. However, the extent to which these strain metrics can be specifically linked to the underlying anatomical vascular and tissue properties remains largely unknown. This study aims to explore the relationship between STI metrics and independent markers of pulse pressure (arterial transit time, ATT), vascular function (cerebral blood volume, CBV; cerebral blood flow, CBF; mean transit time, MTT), and tissue properties (shear stiffness). MethodVolumetric and octahedral shear strain were computed from previously obtained 7T displacement data (approximately 2 mm isotropic resolution) of eight healthy subjects (27{+/-}7 years). Shear stiffness maps were generated from the same displacement data set using poroviscoelastic intrinsic MR elastography. Regional values of CBV, CBF, MTT, and ATT were obtained from standard-space atlases. Linear mixed-effects models were used to investigate potential regional relationships between specific strain metrics and the corresponding tissue, pulse pressure, or vascular markers. ResultsVolumetric strain showed significant positive correlations with CBV (globally, cortical gray and white matter) and significant negative correlations with ATT (globally, and in cortical gray and white matter), but not with shear stiffness. Octahedral shear strain showed a significant negative correlation with shear stiffness (globally, in subcortical gray and white matter) and also with ATT (globally, in cortical gray matter). ConclusionVolumetric strain reflects mainly vascular properties (pulse pressure, blood volume), while octahedral shear strain is more sensitive to tissue properties. These findings provide a foundation for future studies that investigate the physiological characteristics reflected by these strain metrics and their intricate interplay.

biophysics↗

Quantitative comparison between aMRI and DENSE for the assessment of brain tissue motion

PurposeAmplified MRI (aMRI) holds potential for assessing brain tissue motion and strain, using images acquired from readily-available sequences. However, image registration is necessary to extract displacements from the motion-amplified images, which may limit its accuracy. We aimed to separately assess the errors from imperfections in the aMRI amplification, and errors from the registration algorithm, using a semi-synthetic approach. MethodsGround truth brain tissue motion was derived from smoothed Displacement Encoding with Stimulated Echoes (DENSE) measurements acquired at 7T (8 subjects). Those were then applied to a still sagittal anatomical balanced-SSFP image to obtain a DENSE-animated MRI series to which aMRI (amplification factor 10) was applied. DENSE-amplified MRI series served as a reference (Damp-MRI; amplification factor, 10). Amplified displacements were extracted from aMRI and Damp-MRI using a common registration algorithm. Linear regression was used to estimate the amplification and r2 agreement of the amplified displacements relative to the ground truth. ResultsThe estimated amplification was consistently lower for aMRI-derived displacements (range: [4.9{+/-}0.3 5.7{+/-}0.3]) than for Damp-MRI measurements (range: [6.7{+/-}0.5 7.7{+/-}0.5]). Nevertheless, the spatial, temporal and average characteristics of brain tissue motion derived from aMRI were comparable to the ground truth for Anterior-Posterior and Feet-Head displacements: (group averaged r2[≥]0.84), as were the Damp-MRI derived displacements (r2[≥]0.88). When aMRI was applied to in-vivo cine-bSSFP images and compared to the ground truth, the results were less favorable, highlighting the need for artefact-free images. ConclusionThese results strengthen the potential of aMRI as a tool for semi-quantitative assessment of brain tissue motion in disease.

neuroscience↗