Yolanda Ohene1,2, Elizabeth Powell3,4, Samo Lasič5,6, Geoff J. M Parker3,7,8, Laura M Parkes 1,2, and Ben R Dickie 2,9
1Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom, 2Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, United Kingdom, 3Centre for Medical Image Computing, UCL, London, United Kingdom, 4Department of Computer Science, UCL, London, United Kingdom, 5Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark, 6Random Walk Imaging, Lund, Sweden, 7Department of Medical Physics and Biomedical Engineering, UCL, London, United Kingdom, 8Bioxydyn Limited, Manchester, United Kingdom, 9Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom
Synopsis
We have developed a preclinical FEXI sequence optimised to measure
water exchange across the blood-brain barrier in the rat brain. Simulated
synthetic data estimated an apparent exchange rate (AXR) of 1.22 s-1,
using the in-vivo acquisition parameters and exchange rate constant = 2.5 s-1,
reflecting in-vivo measurements. The experimental normalised AXR in the rat
brain was measured at 3.34 ± 1.14 s-1 (scan) and 3.62 ±
0.96 s-1 (rescan), with CoV = 26%, n = 10. This technique is a promising non-invasive tool
which can be applied to in a wide range of
disease models, including neurodegeneration, stroke and neuroinflammation.
Introduction
Filter-exchange imaging (FEXI) is a
promising non-invasive MRI technique to measure water exchange processes[1,
2]. The technique has been used to measure vascular water exchange across
the blood-brain barrier (BBB) in the human brain[3], which could be
important for improved understanding of neurological conditions such as neuroinflammation and neurodegeneration. The FEXI method
has yet to be applied to study BBB exchange in the rodent brain, due to
challenging implementation with the markedly smaller brain size, requiring thinner
slices and thus higher magnitude crusher gradients[4]. However, the
application of FEXI in rodents would allow controlled studies of disease using
transgenic rodent models to probe specific targets that underpin pathology
relating to BBB function. Here, we establish a FEXI protocol optimised to measure
water exchange across the BBB in the rat brain and provide estimates of apparent
exchange rate (AXR).Methods and Materials
To investigate the effects of crusher gradients and low
b-value used to measure BBB exchange, synthetic signals relating to a diffusion
encoding experiment were simulated in Matlab R2021a using a two compartment
model as described previously[4], with exchange rate, k = 2.5 s-1,
extravascular volume fraction, fe = 0.95, intravascular and extravascular
diffusivities, D1 = 8 x 10-3 mm2/s and D2
= 0.8 x 10-3 mm2/s [5], and all other
acquisition parameters matching the in-vivo imaging protocol below.
Experimental data were acquired in Wistar rats (n = 10)
using an Agilent 7T magnet interfaced to a Bruker Avance III console with a rat
head receiver coil (Bruker BioSpin) using double diffusion-encoding FEXI sequence, developed
in house, with a single shot EPI readout. Non-selective filter pulses
with slab thickness = 30mm were implemented in first diffusion-encoding filter module, to minimise in-flow effects, and slice selective pulses were used for the second diffusion-encoding with slice thickness = 4mm. Other imaging parameters: filter b-value (bf)
= 0 s/mm2 and 250 s/mm2; b values = 0, 250 s/mm2;
mixing times (tm) = 25, 50, 100, 200, 300 ms; TE = 14 ms; TR = 3000
ms; single-slice; resolution = 0.5 x 0.5 x 4 mm; repetitions = 10. Total scan time
was approximately 35 minutes. Scans were repeated in the same rats 9 ± 2 days
later to assess the repeatability of the measurement.
Experimental data were evaluated using Matlab (R2021a), in
a whole brain ROI, excluding the ventricular regions. Synthetic and
experimental data were fit with the standard apparent exchange rate (AXR)
model:
ADC’(tm) = ADCeq(1 – σ exp(-tm AXR))
[2],
where ADC’ is the filtered apparent diffusion coefficient, ADCeq
is the non-filtered apparent diffusion coefficient, σ is the filter
efficiency, using a non-linear least squares fitting with ADCeq fixed
at ADCeq(tm = 25ms). To reduce biases in ADC’ and ADCeq,
and hence AXR, due to crusher gradients, the experimental ADC’ was normalised
to the ADCeq at each tm prior to fitting a normalised AXR
model: ADC’(tm)/ADCeq(tm) = 1 – σ exp(-tm
AXR). Repeatability was quantified using the coefficient of variation (CoV).Results & Discussion
Figure 1 shows the simulated
and experimental results of ADC’(tm)
and estimates of AXR using the standard model. The simulated ADCeq data
(Figure 1A) are biased due to the crusher
gradients, leading to an underestimation of the AXR (from 2.5 s-1 to
1.22 s-1) [4]. The experimental ADCeq (Figure
1B) exhibits a similar trend (seen across all subjects), with mean experimental
AXR = 0.78 ± 0.59 s-1 (scan), 0.51 ± 0.43 s-1
(rescan), n = 10.
Figure 2A shows normalised ADC’ map for each tm in a representative
subject. Group mean normalised AXR plots are shown in Figure 2B, demonstrating
the correspondence between the scan and rescan measurements. The mean
normalised AXR values were determined to be 3.34 ± 1.14 s-1 (scan)
and 3.62 ± 0.96 s-1 (rescan), with Bland-Altman plot of the average
vs the difference presented in Figure 2C; CoV = 0.26. Overall, the experimental data show a
recovery of the ADC with increasing tm reflective of extravascular
water entering the intravascular compartment. Though the mean AXR values obtained
using the standard AXR model are slightly lower than expected, the normalised
AXR measurements are in line with the average estimates of BBB water-exchange
rate in the rodent brain[6]. The difference in T1 and T2 relaxation
effects between the intravascular an extravascular compartments may be
contributing to the underestimation of the AXR, which will be explored in
future work[7]. This is a promising first step for using the
non-invasive FEXI technique in the rat brain, and will be used to assess
changes to BBB water permeability in disease conditions. Conclusion
We have developed
a FEXI imaging protocol to measure the apparent water exchange rate across the
BBB in rat brain. This technique has the potential to be applied to study BBB
water-exchange processes in a wide range of disease models, including neurodegeneration,
stroke and neuroinflammation.Acknowledgements
This work is funded
by the EPSRC code EP/S031510/1 and the European Research Council (ERC) under the European
Union’s Horizon 2020 research and innovation programme (grant agreement No
804746). SL is supported also by Random Walk Imaging. We would like to
thank the staff at The Biological Service Facility at the University of
Manchester for their help maintaining animal
welfare and environmental enrichment during this study.References
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