Xuming Chen1,2,3, Rolf Pohmann1, Klaus Scheffler1, and Xin Yu1
1High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2University of Tuebingen, Tuebingen, Germany, 3Neurology, Renmin Hospital of Wuhan Universit, Wuhan University, Wuhan, China
Synopsis
Single-vessel
fMRI has been developed to map the BOLD signal from individual venules and the
CBV signal from individual arterioles penetrating the cortex of anesthetized
rats. Here, we applied phase-contrast
(PC) imaging to measure the velocity of blood flow from individual penetrating
arterioles and venules, which could be characterized as dark and bright dots in
an arteriole-venule map with a multi gradient-echo sequence. The neuronal
activity-coupled cerebral blood flow (CBF) changes can be directly measured
with the PC-based velocity mapping from individual vessels. Thus, we have
established single-vessel CBF fMRI mapping with phase-contrast imaging.
Introduction
Cerebral
blood flow (CBF) measurement has been applied to evaluate the normal physiology
and pathophysiology (e.g. stroke and cancer) in both clinical and pre-clinical MRI
studies1, 2, 3. Arterial spin-labeling (ASL)4, 5 and dynamic contrast
(DSC) perfusion MRI6 have been routinely used to measure CBF. These methods have
the limitation to
supply the quantitative information of the flow direction and velocity. Phase-contrast
(PC) imaging measures the phase shift in voxels with moving spins so as to quantify
the velocity of blood flow in vessels7. Here, we applied PC imaging at very high spatial resolution to measure the velocity of blood flow from individual
arterioles and venules penetrating the cortex of anesthetized rats. In addition, we have directly mapped the
sensory-evoked velocity changes of CBF from individual vessels. Following the single-vessel BOLD and CBV fMRI
methods8, we developed
single-vessel cerebral blood flow (velocity) fMRI mapping method with
phase-contrast imaging. Methods
fMRI
were performed in a-chloralose anesthetized rats. The surgical procedures were described
previously9. Briefly, all images were acquired with a 14.1 T/26 cm
horizontal bore magnet (Magnex), interfaced to an AVANCE III console (Bruker)
and equipped with a 12 cm gradient set, capable of providing 100 G/cm with a
rise time of 150 μs (Resonance Research). A transreceiver surface coil with 6 mm
diameter was used to acquire fMRI images. To detect the individual arterioles
and venules, a 2D Multiple Gradient-Echo (MGE) sequence was used with the
following parameters: TR, 50 ms; TE, 2.5,
5, 7.5, 10, 12.5, 15 ms; flip angle, 55°; FOV, 0.96x0.96x0.5 cm3 matrix, 192x192; in-plane resolution, 50x50 μm2;
slice thickness,500 μm. For fMRI, the
steady state free precession (SSFP) imaging method was applied to map the fMRI
signal with the following parameters: TE, 7.8 ms (BOLD) /5.2 ms (CBV),
TR, 15.6 ms (BOLD) /10.4167ms (CBV), flip angle 15°; FOV, 0.96x0.96x0.5 cm3;
matrix, 96x96 (BOLD), in-plane resolution, 100x100 μm2; slice
thickness, 500 μm. CBV-weighted signals were obtained after intravenous
administration of 15-20 mg Fe/kg dextran coated iron oxide (Biopal, MA). For
the PC imaging, TE, 4.2 ms TR, 15.6 ms; flip angle 30°; FOV, 0.64x0.64x0.5 cm3;
matrix, 64x64, in-plane resolution, 100x100 μm2; slice thickness,
500 μm. Electrode was placed on the forepaw to deliver a 1.0 mA pulse sequence (10 s,
0.33 ms duration repeated at 3 Hz). The block design was 10 s stimulation and 50 s
inter-stimulus interval. AFNI software was used for image analysis.Results
We first specified the individual venules (black dots, blue
markers) and arterioles (white dots, red markers), respectively, in the rat
forepaw S1 cortex from a 2D A-V map(1) (Fig 1A). The blood
vessels penetrating the whole cortex showed opposite blood flow direction (Fig
1, inset). The PC-based flow-velocity map showed negative arteriole velocity
(into the cortex, dark dots) and positive venule velocity (out of the cortex,
bright dots) as vectors. Fig 1D shows vessel-specific scatter plots of A-V map
and flow-velocity map, showing the velocity of blood from both penetrating
venules and arterioles less than 3-5 mm/s consistent with previous optical
studies on anesthetized rats with alpha-chloralose10. Upon electrical forepaw stimulation, we have
shown that the BOLD signal was primarily located at venules and the CBV signal
was mainly located at arterioles (Fig 2A). In the same 2D slice,
PC-based flow-velocity fMRI detected increased velocity from both arterioles
and venules stimulation (Fig 2B, time course), showing arteriole velocity values are more positive
(red color) and venule velocity values are more negative (blue color) (Fig 2B).
This result clearly demonstrates that CBF, CBV, and BOLD can be mapped from
individual penetrating vessels in the rat brain.Conclusion
We have developed single-vessel fMRI methods to map
CBV, CBF, and BOLD from individual penetrating vessels. The PC-based
single-vessel CBF fMRI measurement allows us to further decipher the underlying
neurovascular coupling mechanism based on the qualitatively assessment of the
flow dynamic information.
Acknowledgements
The financial support of the
Max-Planck-Societyare gratefully acknowledged.
References
1.
Shen Q, Duong TQ. Magnetic Resonance Imaging of Cerebral Blood Flow in Animal Stroke
Models. Brain Circ. 2016 2(1):20-27.
2. Budde MD, Gold E, et
al. Phase contrast
MRI is an early marker of micrometastatic breast cancer development in the rat
brain NMR Biomed. 2012 25(5):726-36.
3.
Muir ER, Watts LT, et
al. Quantitative
cerebral blood flow measurements using MRI. Methods Mol
Biol. 2014 1135: 205-11.
4.
Koretsky AP. Early development of arterial spin labeling to measure regional brain
blood flow by MRI.Neuroimage. 2012 62(2):602-7.
5. Williams DS, Detre JA,et al. Magnetic resonance imaging of perfusion using spin inversion of
arterial water. Proc Natl Acad Sci U S A. 1992
89(1):212-6.
6.
Ostergaard L, Weisskoff RM, et
al. High resolution
measurement of cerebral blood flow using intravascular tracer bolus passages.
Part I: Mathematical approach and statistical analysis. Magn Reson Med. 1996 36(5):715-25.
7.
Dumoulin CL, Souza SP et al. Simultaneous acquisition of phase-contrast angiograms and stationary-tissue
images with Hadamard encoding of flow-induced phase shifts. J Magn
Reson Imaging. 1991 1(4):399-404.
8.
Yu X, et al. Sensory and optogenetically driven single‐vessel fMRI. Nature methods
13, 337‐340 (2016).
9.
Yu X, Chung S et
al.Thalamocortical inputs show post-critical-period plasticity. Neuron. 2012 74(4):731-42.
10. V. J. Srinivasan et al., Depth-resolved microscopy of
cortical hemodynamics with optical coherence tomography. Optics letters 34,
3086-3088 (2009).