Amyotrophic Lateral Sclerosis (ALS) is a fatal neurodegenerative disease affecting primarily the motor system. The loss of upper motor neurons within the descending motor tracts, and lower motor neurons within the brain stem nuclei and spinal cord anterior horn gives rise to progressive muscle weakness. With the rapid course of the disease, there is a critical need for better biomarkers of disease to help understand the mechanisms of tissue damage in ALS and, ultimately, to improve diagnosis, prognosis and new treatments for patients. Diffusion Magnetic Resonance Imaging (dMRI) techniques, such as diffusion tensor imaging (DTI) and neurite orientation and dispersion density imaging (NODDI), provide a rich selection of parameters related to tissue microstructure. This project is a feasibility study aiming to evaluate dMRI metrics in the spinal cord as potential markers for ALS disease diagnosis. Multi-shell diffusion MRI data was collected from 11 recently diagnosed patients with ALS with upper limb symptoms, alongside 10 age-matched healthy controls, focusing on the cervical spinal cord region. Images underwent both DTI and NODDI fitting to produce fractional anisotropy (FA) and neurite orientation dispersion index (ODI) maps. Region-of-interest based statistical analyses were performed and results have shown significant FA reduction and ODI increase in ALS patients compared to controls, particularly in the white matter regions. These findings highlight the potential of diffusion MRI to uncover the nature of microstructural changes within the spinal cord during the early stages of ALS and opens the possibility to advance our understanding of the disease.