Spinal cord functional magnetic resonance imaging (scfMRI) is still insufficiently
exploited in clinical settings due to several challenging problems related to
image acquisition and analysis. In the present study, 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.
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