Nicola Bertolino1, Daniele Procissi1, Craig Weiss2, Quinn C Smith2, and John F Disterhoft2
1Radiology, Northwestern University, Chicago, IL, United States, 2Physiology, Northwestern University, Chicago, IL, United States
Synopsis
Awake imaging in pre-clinical research is challenging due to the MRI
sensitivity to motion and animal’s natural reactivity to unfamiliar and loud
environment. In this work we present an experimental setup for resting-state
fMRI of rabbits and preliminary data collected with it. Our setup relies on the
natural tolerance of rabbit to restraint and a home-designed animal fixing
cradle equipped with a 3-channel receiver coil.
Introduction
The analysis of functional brain network using resting-state
fMRI (rs-fMRI) is extensively employed to study and characterize cognitive
impairment present in patients affected by neurodegenerative disease1.
Moreover, alteration in functional connectivity seems to occur in early stages
of the diseases before the manifestation of gross morphological damage or other
obvious neurological synptoms2. For this reason, investigating
resting state connectivity in animal models of cognitive impairment offers a
precious tool to gain insight into progression
of neurodegenerative disease. Due to the sensitivity of MRI to motion
artifacts, awake imaging can be challenging in preclinical studies involving
animals. Awake imaging is not only necessary for task-based fMRI, but also anesthesia
or sedation can alter the BOLD signal and functional connectivity3,4 creating
a confounding effect when interpreting group
differences. In this perspective, rabbits have been shown to be ideal subjects
for awake studies because of their tolerance
to restraint5. Using a
3-channel coil specifically designed to
enable head-posting and restraint we conducted experiments to advance our
previous work6 and to further enhance investigation of
resting-state functional networks. Material and Methods
All
experimental procedures involving animals complied with Northwestern’s IACUC
guidelines. Four Rabbits underwent habituation to MRI environment.
Acquisitions were performed on Bruker 7T ClinScan MRI using a three-channel
custom made receiver coil (RAPID MR International, Columbus (OH)) designed with
a central aperture that allows animal head fixation. Volume coil was used for
transmission (Fig1). The animal cradle was designed to integrate the 3-channel
receiver coil in a cross-bar fixed to the holder (Fig2).
Prior to MRI surgery was performed on
each rabbit. Two nylon bolts were fixed on the skull to lock the head into
the 3-channel coil limiting head motion during MRI. Each rabbit was inserted in a Lomir Snuggle Sack to reduce stress and
then placed in the cradle (Fig3) with
the head locked in the cross-bar using
the skull fixed bolts. Physiological
parameters were recorded throughout the
experiment inside the MRI.
The
acquisition protocol included a coronal 3D-GRE multi-echo scan (TR=68ms; TEs=2.7,6.83,11.26,16,10.13,25ms;
Flip-Angle=15; voxel size= 0.29x0.29x0.5mm3; FOV=29.6x55.6x24mm3)
and an transverse EPI for rs-fMRI (TR=1800ms; TE=25; Flip-Angle=70; voxel
size=0.5x0.5mm2; slice-thickness=1.5; slices=20; FOV= 34x26mm2;
GRAPPA=2; echo spacing=0.25ms; volumes=500). The rs-fMRI was repeated twice. Data
analysis was performed using FMRIB Software Library v6.0 (Analysis Group,
FMRIB, Oxford, UK). A high-resolution 3D image of each brain was generated from the 5 echo average. The 3D
images from each rabbit were co-registered (non-rigid 12 degree-of-freedom
transformation) and used to generate the rabbit brain template (Fig4) after skull
removal. For the resting-state analysis, EPIs were first preprocessed: i)all
volumes were registered by a rigid transformation to the central volume, ii)a
brain mask was generated by the bias field corrected mean of the volumes and
used as an inclusive mask for EPI, iii)a common origin was selected for all
subjects’ EPIs, iv)slice timing correction was performed, v)time course was high-pass
filtered with a threshold of 0.02 Hz and
vi)images were smoothed using a 0.5 mm gaussian kernel. Visual inspection of
EPI volumes and motion correction reports enabled overall quality control of
data. Functional volumes were registered
to high-resolution 3D images and then to the common template before independent
components analysis (ICA). ICA group-analysis was run using a multi-session
temporal concatenation pre-selecting 40 desired components. Resulting component
were finally inspected to identify resting state network and spurious
components. Results
The second EPI repetition of one subject was excluded because
of excessive body motion. The main functional networks previously described in
the literature were identified and are shown in Figure 5.Discussion and Conclusion
Reduction of
motion artifacts in awake imaging requires head-posting of animals. This limits
the types of rf coils which can be used
for imaging. Most experiments employ open
single channel surface coils with limited temporal resolution and coverage. To
the best of our knowledge this is the first small animal awake rs-fMRI study using
a customized phase-array 3 channel coil
compatible with head-posting. With this coil we were able to use parallel
imaging scheme (GRAPPA acceleration
factor) increasing temporal and spatial resolution and extending whole brain coverage. Our setup allowed enhanced localization
accuracy and improved temporal characterization of resting state
fuctuations
7. The ability to the delineate the expected independent
components despite the small group of animals verified the good sensitivity of
the described setup.
Acknowledgements
No acknowledgement found.References
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