Haribalan Kumar1,2,3, Haylea Rodgers3,4, Jet Wright3,4, Ben Bristow3,4, Paul Condron3,5, Taylor Emsden3,5, Davidson Taylor3,6, Samantha Holdsworth3,5, Soroush Safaei2, Gonzalo Maso Talou2, Josh McGeown3, Ed Maunder7, and Eryn Kwon2,3,5
1GE Healthcare, Gisborne, New Zealand, 2Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand, 3Mātai Medical Research Institute, Gisborne, New Zealand, 4University of Otago, Dunedin, New Zealand, 5Faculty of Medical and Health Sciences & Centre for Brain Research, University of Auckland, Auckland, New Zealand, 6Ngai Tāmanuhiri, Rongowhakaata, Ngāti Porou, Tūranganui-a-Kiwa, Tūranganui-a-Kiwa, Tairāwhiti, New Zealand, 7Sports Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand
Synopsis
Keywords: Neurofluids, Neuroscience, Brain motion, image analysis
Cardiac
pulsatility is a key driver of brain pulsatility. However, changes in brain
pulsatility in response to changes in heart rate have been sparsely studied. Using
a combination of amplified MRI and phase-contrast MRI, brain parenchyma
motion, blood flow, and CSF flow were measured and assessed during rhythmic hand-grip
exercise to help understand the role of heart rate on brain physiology. This
approach opens opportunities for probing the role of heart rate, brain fluid, and
motion flow in various pathologies that affect the brain.
INTRODUCTION
Cardiac
pulsatility is a key driver of brain pulsatility [1-6]. Cardiac-gated phase-contrast
(PC-MRI) acquisitions are regularly applied for measuring cerebrovascular (blood)
and cerebrospinal (CSF) flow. Additionally, brain motion and pulsation have
been studied recently using a technique called amplified MRI (aMRI) [7-9].
Heart rate is fundamental to these acquisitions. Studying effects of changes in heart rate during
natural (i.e. due to caffeine consumption) and induced elevations (i.e.
physical exercise) allows investigation and interpretation of inter- and intra-
subject variabilities. Despite these important considerations, changes in brain
pulsatility in response to elevations in heart rate have been sparsely studied.
In this work, we measured brain motion using 3D aMRI [8-9], and blood and CSF
flow using PC-MRI [1-2,10], to help understand the role of heart rate elevation
in brain physiology. Methods
Study
design: A rhythmic hand grip exercise (RHG) [1] was employed as
physiological load to investigate brain pulsatility at elevated heart rates. Participants
underwent MRI scanning in a randomized cross-over design between lying supine and
RHG conditions with a 15-minute break between conditions. Participants
abstained from caffeine consumption and strenuous exercise prior to scan. During
RHG, participants continuously squeezed and released a silicone ring (at a
cadence of 2:2 seconds) corresponding to 40% of their maximum grip strength for
ten minutes. The RHG condition was intended to raise heart rate to a steady
state ~10 beats per minute above the resting condition.
MRI acquisition: Under ethics approval, 6 healthy adults (4 Female/2 Male)
underwent MRI scanning at baseline and during RHG. All scans were acquired on a
3T MRI scanner (GE SIGNA Premier; General Electric, MI, USA; AIRTM
48-channel head coil). Three scans were acquired:
- Brain motion: cine 3D bSSFP [11,12] (the base
acquisition for aMRI, 20 cardiac phases, near isotropic resolution of 1.0x1.0x1.3mm, 116 slices, 2:30min scan).
- CSF flow: single-slice 2D cine PC-MRI positioned
perpendicular to the direction of flow at the aqueduct of Sylvius and at the
level of the C2/C3 subarachnoid space (venc = 9cm/s, 30 cardiac phases,
resolution 0.7x0.7x5mm,1.4 px/mm).
- Blood flow: 4D PC-MRI (venc=80 cm/s, 20 cardiac
phases, resolution 0.86x0.86x1.5 mm, 2:07 min scan time).
Image
processing: The 3D cine bSSFP data was amplified using 3D aMRI [8,9]
with an amplification factor of 30, Gaussian smoothing of 5, and bandpass of
+/-0.1Hz around cardiac frequency. Displacement was calculated using Demons
registration in Matlab(R). Each volume at a cardiac frame was registered to the
first cardiac frame resulting in a displacement field at every cardiac frame.
ROI/seeds were manually selected. For each ROI, average
displacement within one cardiac cycle was reported for each subject. Both PC-MRI scans were processed using Circle CVI software
(CVI42, Circle cardiovascular, Calgary, AB, Canada) to extract flow profiles.
Results
Overall,
with an elevated heart rate, a decrease in CSF maximum flow was observed at the C2
and aqueduct locations (Figs. 1-2). Also, CSF flow was positive during systole
and diastole. Deceleration of CSF flow was observed but there was no
regurgitation like those seen in the resting heart rate measurements. Except for
subject 4, all subjects showed (Fig. 3) an increase in carotid MCA net flow and
a decrease in venous net flow with elevated heart rate. Subjects 1 to 4 showed
a decrease in basilar stroke volume with elevated heart rate. For all subjects,
compared to resting heart rate, an overall reduced cardiac-induced brain motion
was observed with elevated heart rate (Figs. 4-5). Discussion
In
this study, a higher heart rate caused an overall decrease in brain parenchyma
motion based on aMRI. This effect is likely due to the rapidly changing blood
flow combined with reduced CSF flow. Interestingly, the extent of heart rate
elevation, and percentage change in CSF flow and brain parenchyma motion were
variable among our cohort. Changes in brain pulsatility from exercise results in
complex physiological processes simultaneously.
Tarumi et al. [1] showed that RHG increased
blood stroke volume in the internal carotid artery and vertebral artery and
decreased CSF stroke volume in the aqueduct. We observed a similar increase in the carotid MCA flow
and a consistent decrease in CSF flow.
Apart from the obvious benefits of
understanding the role of exercise on brain physiology, this work has revealed
an important relationship between the heart rate and brain motion not
well-defined previously. However, our
work did not investigate potentially confounding effects from breathing and
different band pass frequencies of aMRI. We also did not investigate the effects of
possible sudden changes in heart rate during exercise. These are topics for
further investigation.Conclusion
We detected changes in brain motion
between rest and elevated heart rate conditions using a
combination of PC-MRI blood/CSF flow imaging and aMRI to detect brain parenchyma motion.
This study has revealed an important relationship between the heart rate
and brain motion not well-defined previously. The approach here may open opportunities for probing
the role of heart rate, brain fluid, and motion flow in various pathologies
that affect the brain.Acknowledgements
This work was supported by the Royal Society of New Zealand Marsden Fund, Trust Tairāwhiti, JN & HB Williams Foundation, and the Kānoa - Regional Economic Development & Investment Unit, New Zealand. We are grateful to Mātai Ngā Māngai Māori for their guidance and to our research participants for dedicating their time toward this study. We would like to acknowledge the support of GE Healthcare.References
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