Abstract #0919

Towards a Standard Pipeline for the Analysis of Human Spinal Cord fMRI Data Series

Mauro DiNuzzo¹, Julien Cohen-Adad², Fabio Mangini¹, Laura Maugeri¹, Marta Moraschi³, Daniele Mascali³, Federico Giove³, and Michela Fratini¹

¹IRCCS Fondazione Santa Lucia, Rome, Italy, ²NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada, ³Enrico Fermi Centre, Rome, Italy

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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