Michela Fratini1,2, Mauro Di Nuzzo2, Marta Moraschi3, Laura Maugeri2,4, fabio mangini2, daniele mascali3, and federico giove3
1CNR-Nanotec, Roma, Italy, 2fondazione Santa Lucia, Roma, Italy, 3centro fermi, Roma, Italy, 4CNR-Nanotec, piazzale Aldo Moro 5, Italy
Synopsis
Spinal Cord Functional Magnetic Resonance
Imaging (fMRI) techniques are widely exploited for the study of brain
activation. Similar approaches have been repeatedly attempted in the spinal
cord, but spinal cord fMRI has not yet affirmed as habitual tool for the
assessment of spinal cord function. One of the reasons is that the features of
the functional contrast are still partially unknown. In the present work, we study
the relationship between the intensity of the motor stimulation (performing a
controlled motor task with the dominant hand ) and the amplitude of the
functional response in healthy
INTRODUCTION
Among different imaging methods, functional
Magnetic Resonance Imaging (fMRI) represents the most promising tool for
non-invasive investigation of human spinal cord functions [1-3] and dysfunctions, such as those following
traumatic injury as well as neurodegenerative disease [4-5]. Moreover, scfMRI can be potentially applied to
clinical environment to increase the power of early diagnosis and help the development
and evaluation of new therapies. However, in spite of these potentialities, the utilization of scfMRI in both
research and clinical settings [6] is widely under-exploited, due to either
challenges in acquiring good quality data, or the lack of availability of
dedicated tools of analysis. In addition, the exact features and even the
biophysical origins of the functional response are still unclear. In the
present work, we performed a controlled motor task (graded isometric force) of
the right dominant hand, and we parametrically studied the relationship between
stimulation strength and functional response in heathy subject.METHODS
We acquired axial and sagittal functional
images at 3T from the spinal cord of forty-six healthy subjects (all right-handed with a mean age of 40 years) while performing a block-design isometric motor task consisting of 5 cycles of 30s/30s rest/task epochs.
We implemented and optimized a scfMRI data
analysis pipeline built around the Spinal Cord Toolbox (SCT)[7].
The pipeline was applied to functional
(gradient echo EPI) images acquired on a Philips Achieva 3T MR scanner using a neurovascular coil
array with the following sequence parameters:
TE/TR = 25/3000 ms, Flip angle = 80°, FOV = 192x144x104 mm (sagittal) or
140x140x143 mm (axial), acquisition Matrix =
128x128x35
(sagittal) or 96x96x34 (axial), resolution = 3x1.5x2 mm (sagittal) or 1.5x1.5x3
mm (axial). Anatomical reference images were
acquired
using T1-weighted gradient echo sequence (TE/TR 5.89/9.59 ms, flip angle 9°,
FOV = 240x240x192 cm , resolution
0.75x0.75x1.5mm
).RESULTS
The activation maps (threshold at p<0.001 uncorrected) in the PAM50 tamplate space, using the
recorded force data acquired, is reported in figure 1. Positive signal changes were principally detected at C3–C4 vertebral levels and
C5-C7, which is consistent with studies employing motor stimuli of the hand
In figure 2 we report the mean BOLD change as a function of the grip strength. The results obtained suggest a parametric dependence of functional
response in the spinal cord on the stimulation strength in an isometric motor
task. DISCUSSION
A parametric dependence of
functional response in the spinal cord on the stimulation strength in an
isometric motor task is reported. Such a dependence is important to understand the physiological
origin of the response. In addition, this result is of great importance for the SC-fMRI application in
neuroradiology, and in particular for the assessment and follow-up of spinal
injuries, pain, and neurodegenerative diseases (e.g multiple sclerosis), as
well as in the development and evaluation of new therapies.CONCLUSIONS
We implemented and optimized a scfMRI data
analysis pipeline built around the Spinal Cord Toolbox (SCT).
We acquired axial and sagittal functional
images at 3T from the spinal cord of forty-six healthy subjects performing an
isometric motor task.
Using our SCT-based pipeline, we substantially
improved motion correction and image registration. Furthermore, we found
task-induced activations with a high level of statistical significance.Acknowledgements
This research was financially supported by The Italian Ministry of Health Young Researcher Grant 2013 (GR-2013-02358177).References
1) Maieron,
M., Iannetti, G.D., Bodurka, J., Tracey, I., Bandettini, P.A., and Porro, C.A.
(2007). Functional responses in the human spinal cord during willed motor
actions: evidence for side- and rate-dependent activity. J Neurosci 27, 4182-4190
2) Stroman, P.W., Coe, B.C., and Munoz, D.P.
(2011). Influence of attention focus on neural activity in the human spinal
cord during thermal sensory stimulation. Magn
Reson Imaging 29, 9-18.
3) Weber, K.A., 2nd, Chen, Y., Wang, X., Kahnt,
T., and Parrish, T.B. (2016). Lateralization of cervical spinal cord activity
during an isometric upper extremity motor task with functional magnetic
resonance imaging. Neuroimage 125, 233-243.
4) Filippi, M., Rovaris, M., and Rocca, M.A.
(2004). Imaging primary progressive multiple sclerosis: the contribution of
structural, metabolic, and functional MRI techniques. Mult Scler 10 Suppl 1,
S36-44; discussion S44-35.
5) Stroman, P.W., Khan, H.S., Bosma, R.L.,
Cotoi, A.I., Leung, R., Cadotte, D.W., and Fehlings, M.G. (2016). Changes in
Pain Processing in the Spinal Cord and Brainstem after Spinal Cord Injury
Characterized by Functional Magnetic Resonance Imaging. J Neurotrauma 33,
1450-1460.
6) Martin, A.R., Aleksanderek, I., Cohen-Adad, J.,
Tarmohamed, Z., Tetreault, L., Smith, N., Cadotte, D.W., Crawley, A., Ginsberg,
H., Mikulis, D.J., and Fehlings, M.G. (2016). Translating state-of-the-art
spinal cord MRI techniques to clinical use: A systematic review of clinical
studies utilizing DTI, MT, MWF, MRS, and fMRI. Neuroimage Clin 10,
192-238.
7) De Leener B, Levy S, Dupont SM, Fonov VS, Stikov N, Louis Collins D et al. SCT: Spinal Cord Toolbox, an open-source software forprocessing spinal cord MRI data. Neuroimage 2017; 145(Pt A): 24-43.