Xin Yu1
1Massachusetts General Hospital and Harvard Medical School, United States
Synopsis
Keywords: : Preclinical/Animal, Image acquisition: Fast imaging, Contrast mechanisms: Non-proton
In this course, I will discuss the ultra-high resolution preclinical fMRI methods: line-scanning fMRI and single-vessel fMRI. In particular, the k-space reshuffled FLASH fMRI method will be highlighted to specify its unique features for high spatial resolution (vessel-specific) mapping and high temporal resolution (~5-10ms TR) mapping. Also, awake mouse fMRI with 100umx100umx200um resolution using 14T MRI scanner will be presented, which can be further applied to specify brain-wide vasodynamic changes. In the end, I will introduce the feasibility testing of 23Na-fMRI in rodent brains.
"Functional"
MRI is developed to map neurovascular coupling-based hemodynamic changes, i.e.
the cerebral blood volume (CBV), cerebral blood flow (CBF), and blood-oxygen-level-dependent
(BOLD) signals, as indirect measurements of neuronal activity. Despite existing
functional mapping studies on the spatial specificity of fMRI signal to its
neuronal sources, one intriguing question is “what can we detect when the
spatial resolution is improved from the millimeter to the tens-of-micron
scale?”
Here, I will present two
sets of high-resolution fMRI methods: line-scanning fMRI1 and single-vessel fMRI2, using the 14T MRI scanner. The line-scanning fMRI allows laminar
hemodynamic mapping with 50-micron resolution and 5-to-50ms sampling rates. Given
the 2mm thickness of the rat cortex, the laminar-specific fMRI signal can be
sampled across over 40 voxels according to different cortical layers, as well
as the white matter tract, i.e. corpus callosum. The ultra-fast sampling rate
also helps eliminate any temporal aliasing effect due to the heartbeat or other
non-physiological oscillatory noises. The line-scanning fMRI includes two sets
of mapping schemes: gradient echo-based line scanning with saturation slices,
and spin echo-based beam projection. This method presents advantageous laminar
fMRI mapping capability in human brains.
Single-vessel fMRI was
first presented by alternating k-t space reconstruction of 2D FLASH time series
to achieve ultra-high resolution T2*-weighted images with 50-100ms temporal
resolution. The single-vessel fMRI enables the detection of arteriole and
venule (20-70 micron)-specific hemodynamic responses across different brain
regions in animals. Also, balanced steady-state free precession (bSSFP)-based
single-vessel fMRI was developed to map the resting state BOLD and CBV signal
fluctuation from individual penetrating vessels, enabling the investigation of
the vasodynamic changes, e.g. vasomotion, non-invasively. This method can be
readily applied to detect altered neurovascular coupling events in combination
with fiber photometry-based Ca2+ or Glu recordings in deep brain regions of
animal models with brain injury or neurological disorders. We also applied 14T
to detect the phase-contrast-based functional cerebral blood flow (velocity)
changes from individual penetrating vessels3, providing a quantitative measurement
of blood velocity in micro-vessels with fMRI directly.
Our latest effort includes the
development of high-resolution Echo-planar-imaging (EPI) to achieve the 100um
isotropic resolution fMRI images from awake mice. This method enables the
brain-wide vascular dynamic mapping in both task and resting states of behaving
animals, shedding the light on dissecting the vasodynamic changes coupled to
neuromodulation in deep brain functional nuclei. It should be noted that to
achieve high signal-to-noise (SNR) ratio, we implanted a surface transceiver
coil that is directly attached to the animal skull. This surgical procedure
enables the boost of SNR signal from the cortex, enabling the dynamic mapping
of the x-nuclei signals, e.g. 23Na, for functional mapping, as one of the
ongoing efforts in Yu lab. Acknowledgements
This research was funded by NIH funding (RF1NS113278,
R01NS124778, R01NS122904, R01NS120594, R21NS121642), NSF grant 2123971, and the
S10 instrument grant (S10 MH124733–01) to Martino’s Center.References
1 Yu,
X., et al. . Nature methods 11, 55-58, (2014).
2 Yu, X. et al. Nature methods 13, 337-340, (2016).
3 Chen, X. et al. PLoS Biol 19, e3000923, (2021).