Keywords: White Matter, Multimodal, COVID-19, long COVID, QSM, chi-separation, diffusion, DTI, NODDI
Motivation: The biological mechanisms of impactful symptoms of the long-COVID syndrome such as fatigue and cognitive dysfunction, are still unknown.
Goal(s): The goal of this study was to understand the correlation between microstructural and susceptibility MRI metrics with fatigue and cognitive scores voxel-wise to identify the most involved regions and networks.
Approach: A multimodal MRI protocol was acquired in healthy controls, people recovered from COVID19 or with long-COVID, together with clinical assessments.
Results: The relationship between MRI metrics and the clinical scores was analyzed. Results showed that white matter and cerebellar regions are the most involved, with inflammation and iron-myelin dysregulation explaining the symptoms.
Impact: This work impacts on our understanding of fatigue and cognitive impairment, impactful symptoms of the long-COVID syndrome, emphasizing the role of diffusion MRI and susceptibility mapping models in detecting microstructural and susceptibility alterations voxel-wise.
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