Rupeng Li1, Xiping Liu2, Jason Sidabras1, Christopher Pawela3, Andrzej Jesmanowicz1, and James Hyde1
1Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States, 2Dermatology, Medical College of Wisconsin, Milwaukee, WI, United States, 3Anesthesiology, Medical College of Wisconsin, Milwaukee, WI, United States
Synopsis
Pinpoint acquisition of high resolution, true whole brain scale fcMRI sensorimotor network using seed based analysis. We are able to greatly reduce susceptibility induced artifact in deep brain structures while keeping great SNR and depth sensitivity. fcMRI networks in cerebellum and modular areas are demonstrated with intermediate reticular nucleus (IRt) observed.Purpose
1. Setup study method for
super high resolution functional and anatomical imaging in cerebellum area. 2. Acquiring
seed based fcMRI using seed from pure sensory stimulation in cerebellum. 3.
Studying the whole brain scale functional network with cerebellum and medulla
involvement in sensory/motor system.
Methods
Male Sprague-Dawley
rats weighing around 400 g was used in this study. The ear tubing procedure
was performed on both ears, and Fomblin Y was filled into the external and
middle ear. This middle ear Fomblin filling (MEFF) technique greatly reduces
susceptibility induced artifact1. The MEFF procedure was performed
under 2% isoflurane inhalation anesthesia. A 9.4 Tesla MRI system with a 31 cm
horizontal bore was used for scanning. A Bruker linear transmit-coil was used
with the center of the coil located 3 mm anterior to the external ear canal.
Signal acquisition was achieved using our self-designed 15 mm receive coil with
low-noise-amplifier (LNA) on board. The coupling circuit uses an American
Technical Ceramics 800R series, high-Q, non-magnetic capacitor, a Rogers
RT/duroid 5880 low-loss circuit board with 1-ounce copper trace on both sides,
and a WanTCom WMA9RA LNA, with an input impedance of 1.5 Ohms and an overall
gain of 28 dB. A partial k-space
sequence with 20 over-scan lines was used for this high resolution EPI
acquisition. TE=10.78 ms, TR=2 s, FOV=28.8 mm, slice thickness=0.3 mm,
matrix size=96×96. For seed based fcMRI analysis, the seeds were chosen from
fMRI activation of forepaw stimulation. Data analysis was performed using AFNI.
The seed region was chosen from the cerebellum during forepaw A band-pass
filter was used for all resting-state EPI acquisitions with a low-pass filter
of 0.1 Hz and a high-pass filter of 0.01 Hz on a voxel-by-voxel basis covering
the entire brain. Results were smoothed with 0.3 mm FWHM.
Results
Fig. 1 shows the results of anatomical
imaging and EPI image acquired with our surface coil comparing to the atlas. It
is clear that the anatomical structures can be clearly identified at this
resolution with our self-designed receive coil. Due to MEFF procedure, the
coverage of our EPI image is highly comparable to the anatomical image and
atlas. There is no significant signal dropout in the results. Fig. 2 shows an example of fcMRI result in
cerebellum and medulla area with seed chosen from forepaw stimulation. In the
cerebellum region, two groups of neurons involve in the sensory network. These
two groups of neurons are located in Crus 1 lobule. More prominent sensory
networks are observed in medulla area. Spinaocerebellar tracts (ventral) are
constantly demonstrated across slices. While Oliveocerebellar tract and
intermediate reticular nucleus (IRt) are also visualized in Figure 2C.
Discussion
One of the major hurdle for
animal true whole brain scale functional imaging is that the reduced SNR in deep
area due to various reasons especially under high resolution. This study proves
that with the combination of MEFF method and a self-designed single loop
receive coil, one can get great anatomical and EPI images from the cerebellum
and medullar region. The SNR remains very high for functional analysis despite
that we used 200 micron cubic voxel for imaging. The depth sensitivity of the 15mm
coil is good enough to cover the entire cerebellum and medulla. The image
quality can be further improved by applying a bigger coil with similar
configuration. Neurons in cerebellum react to somatosensory input. This has
been proved by previous studies2,3. Due to the ultra-high
resolution, especially in the Z direction, we are able to isolate individual
neuronal groups that are related to sensory input. Special attention will be
put to the IRt area. This area is closely related to noxious sensation and is
also involved in pain. The function of cerebellum is very complicated since it
is a key relay point for both sensory and motor network. These two networks can
work independently or together. It becomes a much complicated task to further
isolated each network and study their interaction. From the current result we
got, we observed localized functional network within Crus I and paramedian
lobule (Fig.2A, B), and inter-hemispherical connectivity between spinocerebellar
tract and olivocerebellar tract of both sides (Fig.2C). With our powerful MEFF
technique and coil development, we are trying to isolate each neuronal group
and study the resting state functional connectivity network they involved at a true
whole brain scale.
Acknowledgements
No acknowledgement found.References
1.
Li R, Liu X,
Sidabras JW, Paulson ES, Jesmanowicz A, Nencka AS, Hudetz AG, Hyde JS.
Restoring susceptibility induced MRI signal loss in rat brain at 9.4 T: A step
towards whole brain functional connectivity imaging. PLoS One. 2015 Apr
6;10(4):e0119450. doi: 10.1371/journal.pone.0119450.
2.
Van Camp N,
Peeters RR, Van der Linden A. A comparison between blood oxygenation
level-dependent and cerebral blood volume contrast in the rat cerebral and
cerebellar somatosensoric cortex during electrical paw stimulation. J Magn Reson Imaging. 2005 Oct;22(4):483-91.
3.
Van der Zwaag W, Kusters
R, Magill A, et al. Digit somatotopy in the human cerebellum: a 7T fMRI study.
Neuroimage. 2013 Feb 15;67:354-62. doi:
10.1016/j.neuroimage.2012.11.041.